CN112969154B - 5G communication method for electric power distribution safety control - Google Patents

5G communication method for electric power distribution safety control Download PDF

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CN112969154B
CN112969154B CN202110207057.9A CN202110207057A CN112969154B CN 112969154 B CN112969154 B CN 112969154B CN 202110207057 A CN202110207057 A CN 202110207057A CN 112969154 B CN112969154 B CN 112969154B
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刘智勇
陈良汉
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Zhuhai Hongrui Information Technology Co Ltd
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Abstract

The invention discloses a 5G communication method for electric power distribution safety control, which relates to the technical field of distribution safety control, and is characterized in that a power utilization acquisition terminal is used for acquiring power utilization data of a user side to generate an encrypted message; carrying out wireless communication transmission on the encrypted message generated by the S1 by using a 5G communication channel, and transmitting the encrypted message to a control center; decrypting the encrypted message transmitted by the S2 by using the control center, and analyzing and calculating the decrypted message; according to the analysis and calculation results of S3, an overhaul center is used for arranging overhaul personnel to overhaul electric power, a time analysis unit is used for analyzing the time point of the monitoring data, historical monitoring data are screened, a threshold analysis unit is used for examining the monitoring data, and a cosine analysis unit is used for calculating the similarity between the monitoring data and the historical data, so that whether the monitoring data are tampered maliciously or not can be accurately judged, and the potential safety hazard of a circuit caused by data tampering is avoided.

Description

5G communication method for electric power distribution safety control
Technical Field
The invention relates to the technical field of power distribution safety control, in particular to a 5G communication method for electric power distribution safety control.
Background
The fifth generation mobile communication technology is the latest generation cellular mobile communication technology and is an extension following 4G, 3G and 2G systems, and the performance goal of 5G is high data rate, reduced delay, energy saving, cost reduction, increased system capacity and large-scale device connection;
the existing 5G communication has a relatively small application range and is not yet completely popularized, and in the field of power distribution networks, a data monitoring result of a power distribution network needs to be transmitted to a control center in real time for monitoring and management, so the problem of real-time performance is solved by using 5G communication, but in the process of data transmission, if data is tampered, the control of the control center on the whole power distribution network is affected, so that power utilization hidden dangers are easily caused, and how to perform security monitoring of data transmission on the basis of the 5G communication network ensures the security of data transmission, which becomes a problem to be solved by people, so that people urgently need a 5G communication method for power distribution security control to solve the problem.
Disclosure of Invention
The invention aims to provide a 5G communication method for electric power distribution safety control, which aims to solve the problems in the prior art.
In order to achieve the purpose, the invention provides the following technical scheme: A5G communication method for electric power distribution safety management and control comprises the following steps:
s1, collecting the electricity data of the user terminal by using the electricity collection terminal to generate an encrypted message;
s2, carrying out wireless communication transmission on the encrypted message generated in S1 by using a 5G communication channel, and transmitting the encrypted message to a control center;
s3, decrypting the encrypted message transmitted by the S2 by using the management and control center, and analyzing and calculating the decrypted message;
and S4, arranging the maintenance personnel to go to the door by using the maintenance center to perform electric power maintenance according to the analysis and calculation result of S3.
Through above-mentioned technical scheme, utilize 5G communication channel to carry out the transmission of user power consumption information, accelerated the transmission speed of information, simultaneously, encrypt user power consumption information for user power consumption information is at the in-process safety more that transmits through 5G communication channel, avoids illegal personnel to falsify user power consumption information, when leading to the user power consumption to appear unusually, unable timely discovery and the inspection of going to the home lead to appearing the potential safety hazard.
According to the above technical solution, in step S1:
the power consumption acquisition terminal comprises a current monitoring unit, a temperature monitoring unit and a data encryption unit;
s11, collecting the circuit current data of the user electricity by using the current monitoring unit to generate the current circuit current data;
s12, collecting circuit temperature data of the power consumption of the user by using a temperature monitoring unit to generate current circuit temperature data;
and S13, encrypting the current circuit current data generated in S11 and the current circuit temperature data generated in S12 by using a data encryption unit to generate an encrypted message.
And the current monitoring unit and the temperature monitoring unit upload monitoring data in real time.
Through the technical scheme, the real-time monitoring of the user power utilization circuit is realized, because the current change and the temperature change of the circuit are most obvious when the user circuit breaks down or uses different electric equipment, the current and the temperature data of the circuit are monitored most accurately, and the transmission of the user power utilization data is safer through the encryption of the current circuit current data and the current circuit temperature data.
According to the above technical solution, in step S11, the current circuit current data collected by the current monitoring unit is I, the current circuit temperature data collected by the temperature monitoring unit is T, and the time for the current monitoring unit to collect the current circuit current data is TFlow ofThe time for the temperature monitoring unit to acquire the current circuit temperature data is tTemperature of
According to the above technical solution, in step S3:
the management and control center comprises a data decryption unit, a storage database, a data calling unit, a data analysis module and a conclusion judgment unit;
s31, decrypting the encrypted message transmitted by the 5G communication channel by using the data decryption unit to obtain current circuit current data and current circuit temperature data;
s32, storing the current and temperature data of the user power circuit analyzed by the tube control center by using a storage database;
s33, using the data retrieving unit to retrieve the historical circuit current data and the historical circuit temperature data from the storage database of S32;
s34, analyzing the current circuit current data and the current circuit temperature data decrypted by the data decryption unit and the historical circuit current data and the historical circuit temperature data called by the data calling unit by using the data analysis module to obtain a data analysis result;
and S35, judging the data analysis result of the data analysis module by using the result judgment unit, and judging whether the current circuit current data and the current circuit temperature data are normal data or abnormal data.
Through the technical scheme, the current circuit current data and the current circuit temperature data are analyzed and compared with the historical circuit current data and the historical circuit temperature data, and whether the current circuit current data and the current circuit temperature data are abnormal or not is analyzed, so that the potential safety hazards of the electricity utilization of users can be found as early as possible, the overhaul is arranged as early as possible, and the electricity utilization accidents are avoided.
According to the technical scheme, in step S34;
the data analysis module comprises a time analysis unit, a threshold analysis unit and a cosine analysis unit;
s341, matching the current circuit current data and the current circuit temperature data acquisition time by using a time analysis unit to obtain historical circuit current data and historical circuit temperature data which are matched with the current circuit current data and the current circuit temperature data in terms of time;
s342, analyzing the historical circuit current data and the historical circuit temperature data obtained in the S341 by a threshold analyzing unit to obtain a circuit current threshold and a circuit temperature threshold;
and S342, calculating cosine values of the historical circuit current data and the historical circuit temperature data obtained in the step S341 and the current circuit current data and the current circuit temperature data by using a cosine analysis unit to obtain cosine values.
According to the technical scheme, firstly, historical circuit current data and historical circuit temperature data which are inconsistent with the collection time of a user collection terminal are eliminated, the collection time is different and has no reference value, the circuit current data have larger difference due to the use of different electric equipment in different time periods, then threshold analysis of the current circuit current data and the current circuit temperature data is carried out according to the historical circuit current data and the historical circuit temperature data which are matched in time, whether the threshold is met is judged, initial judgment is carried out on the current circuit current data and the current circuit temperature data, finally, similarity calculation is carried out by using a cosine analysis unit, and whether the current circuit current data and the current circuit temperature data are abnormal or not is determined in a datamation mode.
According to the above technical solution, in step S341, the historical circuit current data and the collection time corresponding to the historical circuit temperature data, which are retrieved from the storage database by the data retrieving unit, form a set
Figure GDA0003254379570000051
And collections
Figure GDA0003254379570000052
Wherein the content of the first and second substances,
Figure GDA0003254379570000053
representing the nth collected historical circuit current data,
Figure GDA0003254379570000054
representing the nth collected historical circuit temperature data, and the time analysis unit is used for analyzing the current circuit current data t according to the following formulaFlow ofAnd set TFlow ofAnd the current circuit temperature data tTemperature ofAnd set TTemperature ofThe data difference in (2) is calculated:
Figure GDA0003254379570000055
Figure GDA0003254379570000056
wherein the content of the first and second substances,
Figure GDA0003254379570000061
representing present circuit current data tFlow ofAnd in the aggregate T stream
Figure GDA0003254379570000062
The difference between the values of the two signals,
Figure GDA0003254379570000063
representing current circuit temperature data tTemperature ofAnd set TTemperature ofIn
Figure GDA0003254379570000064
The difference between the values of the two signals,
Figure GDA0003254379570000065
representation set TFlow ofThe k-th current data of (a),
Figure GDA0003254379570000066
representation set TTemperature ofThe kth temperature data of (1);
when in use
Figure GDA0003254379570000067
Indicates the set TFlow ofHistorical circuit current data in
Figure GDA0003254379570000068
With current circuit current data tFlow ofMatched in time against historical circuit current data
Figure GDA0003254379570000069
Making a call, and finally forming the current data t of the circuit in timeFlow ofMatching historical circuit current data sets
Figure GDA00032543795700000610
Wherein
Figure GDA00032543795700000611
Representing the mth and present circuit current data t in the set PFlow ofMatching historical circuit current data in time, wherein m is less than or equal to n;
when in use
Figure GDA00032543795700000612
Indicates the set TTemperature ofHistorical circuit temperature data in
Figure GDA00032543795700000613
With current circuit temperature data tTemperature ofMatching in time to historical circuit temperature data
Figure GDA00032543795700000614
Making a call, and finally forming the data t of the current circuit temperature in timeTemperature ofMatching sets of historical circuit temperature data
Figure GDA00032543795700000615
Wherein the content of the first and second substances,
Figure GDA00032543795700000616
representing the s-th and current circuit temperature data t in the set QTemperature ofAnd (3) matching historical circuit temperature data in time, wherein s is less than or equal to n, and a represents a set difference threshold.
By the technical scheme, the current data t flow and the current temperature data t of the current circuit can be selectedTemperature ofThe historical circuit current data and the historical circuit temperature data which are matched in time are equivalent to the analysis of the electricity utilization habits of users, and because the number of the electricity utilization equipment is different in different time periods of the users, the current and the temperature are changed, so that the reference of the historical circuit current data and the historical circuit temperature data can be ensured by matching the same time periods.
According to the above technical solution, in step S342, the threshold analysis unit utilizes a set
Figure GDA0003254379570000071
And collections
Figure GDA0003254379570000072
For the current circuit current data tFlow ofAnd current circuit temperature data tTemperature ofThe threshold value of (a) is analyzed;
the threshold analysis unit removes the minimum value in the set P and processes the current circuit current data t according to the following formulaFlow ofMaximum value of threshold of
Figure GDA0003254379570000073
And (3) calculating:
Figure GDA0003254379570000074
the threshold analysis unit removes the maximum value in the set P and processes the current circuit current data t according to the following formulaFlow ofThreshold minimum of
Figure GDA0003254379570000075
And (3) calculating:
Figure GDA0003254379570000076
when in use
Figure GDA0003254379570000077
Time, current data t of current circuitFlow ofThe current data is normal current data, otherwise, the current data is abnormal data;
the threshold analysis unit removes the minimum value in the set Q and processes the current circuit current data t according to the following formulaTemperature ofMaximum value of threshold of
Figure GDA0003254379570000078
And (3) calculating:
Figure GDA0003254379570000079
the threshold analysis unit removes the maximum value in the set Q and processes the current circuit current data t according to the following formulaTemperature ofThreshold minimum of
Figure GDA00032543795700000710
And (3) calculating:
Figure GDA00032543795700000711
when in use
Figure GDA00032543795700000712
Time, indicates the current circuit temperature data tTemperature ofNormal temperature data, otherwise abnormal data.
By the technical scheme, the maximum value and the minimum value of the threshold are calculated by independently removing the maximum value and the minimum value in the set P and the set Q, so that the range of the minimum value and the maximum value of the threshold can be reduced, and the current circuit current data t can be subjected to calculationFlow ofAnd current circuit temperature data tTemperature ofThe judgment is more accurate.
According to the above technical solution, in step S343, the cosine analysis unit is used to further determine the abnormal data determined in step S342;
according to the following formula
Figure GDA0003254379570000081
Average value of (2)
Figure GDA0003254379570000082
And (3) calculating:
Figure GDA0003254379570000083
using cosine analysis unit to average value
Figure GDA0003254379570000084
Converting the vector by taking the origin as the starting point of the vector and the average value
Figure GDA0003254379570000085
The position is the end point of the vector, and the vector representation of the historical circuit current data is obtained
Figure GDA0003254379570000086
Using cosine analysis unit to analyze current data tFlow ofConverting the vector with the origin as the starting point of the vector and the current circuit current data tFlow ofObtaining a vector representation of the present current data as an end point of the vector
Figure GDA0003254379570000087
Current data vector of historical circuit according to the following formula
Figure GDA0003254379570000088
And the present current data vector
Figure GDA0003254379570000089
The cosine value cos θ between:
Figure GDA00032543795700000810
when cos theta is larger than or equal to c, the current data vector of the historical circuit is represented
Figure GDA00032543795700000811
And the present current data vector
Figure GDA00032543795700000812
Has high similarity between the current data tFlow ofNormal data;
representing historical circuit current data vector when cos theta < c
Figure GDA00032543795700000813
And the present current data vector
Figure GDA0003254379570000091
The similarity between the current data t and the current data t is lowFlow ofArranging a maintainer to overhaul the abnormal data by using an overhaul center, wherein c represents a set similarity threshold;
according to the following formula
Figure GDA0003254379570000092
Average value of (2)
Figure GDA0003254379570000093
And (3) calculating:
Figure GDA0003254379570000094
using cosine analysis unit to average value
Figure GDA0003254379570000095
Converting the vector by taking the origin as the starting point of the vector and the average value
Figure GDA0003254379570000096
The position is the end point of the vector, and the vector representation of the temperature data of the historical circuit is obtained
Figure GDA0003254379570000097
Using cosine analysis unit to analyze the current circuit temperature data tTemperature ofConverting the vector by taking the origin as the starting point of the vector and the current circuit temperature data tTemperature ofObtaining a vector representation of the current temperature data for the end point of the vector
Figure GDA0003254379570000098
For history circuit according to the following formulaVector of temperature data
Figure GDA0003254379570000099
With current temperature data vector
Figure GDA00032543795700000910
The cosine value cos α between:
Figure GDA00032543795700000911
when cos alpha is larger than or equal to d, the temperature data vector of the historical circuit is represented
Figure GDA00032543795700000912
With current temperature data vector
Figure GDA00032543795700000913
Has high similarity between the current circuit temperature data tTemperature ofNormal data;
representing a historical circuit temperature data vector when cos alpha < d
Figure GDA00032543795700000914
With current temperature data vector
Figure GDA00032543795700000915
The similarity between the current circuit temperature data t is lowTemperature ofArranging a maintainer to overhaul the abnormal data by using an overhaul center, wherein d represents a set similarity threshold;
abnormal data transmission to maintenance center, maintenance center arrange the maintainer and overhaul on the door, and normal data transmission saves to the storage database, makes things convenient for direct the calling and the comparison of data next time.
Through the technical scheme, whether the current circuit current data and the current circuit temperature data are abnormal data or not can be further judged by utilizing the similarity, and when the threshold value analysis unit carries out threshold value analysis, the threshold value range obtained through a formula of the threshold value analysis is small, whether the data are abnormal data or not can not be accurately judged, so that the similarity is judged through cosine value analysis, the type of the data can be further determined, and the judgment result is more accurate.
According to the above technical solution, in step S4:
the maintenance center is provided with a plurality of maintenance sub-centers and comprises a model establishing unit, a coordinate establishing unit, a position marking unit and a distance calculating unit;
s41, establishing a two-dimensional model of the overhaul center and a plurality of overhaul subcenter by using a model establishing unit;
s42, adding a plane rectangular coordinate system on the two-dimensional model obtained in the S41 by using a coordinate establishing unit;
s43, marking coordinate values of the positions of the overhaul center, the plurality of overhaul sub-centers and the user side on the plane rectangular coordinate system established in the S42 by using the position marking unit;
and S44, analyzing and calculating the distances between the coordinate values of the plurality of overhaul branch centers and the coordinate values of the user side generating the abnormal data by using the distance calculation unit.
Through the technical scheme, the distances between the plurality of overhaul sub-centers and the user side generating the abnormal data can be calculated in a digital mode, so that the overhaul sub-center closest to the user side generating the abnormal data can be selected according to the calculated distances to carry out the on-door overhaul, the circuit overhaul time is further shortened, and the probability of accidents caused by abnormal power utilization is reduced.
According to the above technical solution, in step S43:
the position coordinate values of a plurality of maintenance sub-centers marked by the position marking unit are (X)i,Yi) Forming a position coordinate set Z { (X) of the overhaul sub-center1,Y1),(X2,Y2),(X3,Y3),…,(Xw,Yw) W represents w overhaul sub-centers, and the position marking unit marks position coordinate values of the clients which generate abnormal dataIs (X, Y);
in step S44, the distance calculating unit calculates distances D between the plurality of service hubs and the user side generating the abnormal data, respectively, according to the following formulai
Figure GDA0003254379570000111
And the maintenance center selects a maintenance sub-center closest to the user side generating the abnormal data according to the calculation result, informs the maintenance sub-center of the position coordinate value of the user side generating the abnormal data in a wireless communication transmission mode, and carries out circuit maintenance when the maintenance sub-center goes to the position of the user side.
Through the technical scheme, the overhaul time of the abnormal data circuit can be saved, and the time is won for the safe power utilization of the user side.
Compared with the prior art, the invention has the beneficial effects that:
1. the data analysis module is arranged, the time analysis unit is used for analyzing the time point of the monitoring data and screening the historical monitoring data, so that the historical monitoring data is more referential, the threshold analysis unit is used for checking the monitoring data, the reliability of monitoring data analysis is improved, the cosine analysis unit is used for calculating the similarity between the monitoring data and the historical data, whether the monitoring data is maliciously tampered or not can be accurately judged, the safety of monitoring data transmission is ensured, and the potential safety hazard of a circuit caused by data tampering is avoided.
2. The invention is provided with the maintenance center, and the maintenance center is used for respectively calculating the distances between the plurality of maintenance sub-centers and the user side generating abnormal data, so that the maintenance sub-center closest to the user side can be selected, an instruction is issued, and the maintenance personnel are arranged to go to the door to maintain the circuit, thereby shortening the time required by maintenance and relieving the potential safety hazard of electricity utilization as soon as possible.
Drawings
Fig. 1 is a schematic diagram of a step flow framework of a 5G communication method for electric power distribution safety control according to the present invention;
fig. 2 is a detailed flowchart illustrating steps of a 5G communication method for power distribution safety control according to the present invention;
fig. 3 is a schematic diagram of a framework of a 5G communication method for power distribution security management and control according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example (b): as shown in fig. 1 to 3, the present invention provides the following technical solutions, a 5G communication method for electric power distribution safety control, the method including the following steps:
s1, collecting the electricity data of the user terminal by using the electricity collection terminal to generate an encrypted message;
s2, carrying out wireless communication transmission on the encrypted message generated in S1 by using a 5G communication channel, and transmitting the encrypted message to a control center;
s3, decrypting the encrypted message transmitted by the S2 by using the management and control center, and analyzing and calculating the decrypted message;
and S4, arranging the maintenance personnel to go to the door by using the maintenance center to perform electric power maintenance according to the analysis and calculation result of S3.
Through above-mentioned technical scheme, utilize 5G communication channel to carry out the transmission of user power consumption information, accelerated the transmission speed of information, simultaneously, encrypt user power consumption information for user power consumption information is at the in-process safety more that transmits through 5G communication channel, avoids illegal personnel to falsify user power consumption information, when leading to the user power consumption to appear unusually, unable timely discovery and the inspection of going to the home lead to appearing the potential safety hazard.
In step S1: the power consumption acquisition terminal comprises a current monitoring unit, a temperature monitoring unit and a data encryption unit;
s11, collecting the circuit current data of the user electricity by using the current monitoring unit to generate the current circuit current data;
s12, collecting circuit temperature data of the power consumption of the user by using a temperature monitoring unit to generate current circuit temperature data;
and S13, encrypting the current circuit current data generated in S11 and the current circuit temperature data generated in S12 by using a data encryption unit to generate an encrypted message.
And the current monitoring unit and the temperature monitoring unit upload monitoring data in real time.
Through the technical scheme, the real-time monitoring of the user power utilization circuit is realized, because the current change and the temperature change of the circuit are most obvious when the user circuit breaks down or uses different electric equipment, the current and the temperature data of the circuit are monitored most accurately, and the transmission of the user power utilization data is safer through the encryption of the current circuit current data and the current circuit temperature data.
In step S11, the current circuit current data collected by the current monitoring unit is I, the current circuit temperature data collected by the temperature monitoring unit is T, and the time for the current monitoring unit to collect the current circuit current data is TFlow ofThe time for the temperature monitoring unit to acquire the current circuit temperature data is tTemperature of
In step S3: the management and control center comprises a data decryption unit, a storage database, a data calling unit, a data analysis module and a conclusion judgment unit;
s31, decrypting the encrypted message transmitted by the 5G communication channel by using the data decryption unit to obtain current circuit current data and current circuit temperature data;
s32, storing the current and temperature data of the user power circuit analyzed by the tube control center by using a storage database;
s33, using the data retrieving unit to retrieve the historical circuit current data and the historical circuit temperature data from the storage database of S32;
s34, analyzing the current circuit current data and the current circuit temperature data decrypted by the data decryption unit and the historical circuit current data and the historical circuit temperature data called by the data calling unit by using the data analysis module to obtain a data analysis result;
and S35, judging the data analysis result of the data analysis module by using the result judgment unit, and judging whether the current circuit current data and the current circuit temperature data are normal data or abnormal data.
Through the technical scheme, the current circuit current data and the current circuit temperature data are analyzed and compared with the historical circuit current data and the historical circuit temperature data, and whether the current circuit current data and the current circuit temperature data are abnormal or not is analyzed, so that the potential safety hazards of the electricity utilization of users can be found as early as possible, the overhaul is arranged as early as possible, and the electricity utilization accidents are avoided.
In step S34; the data analysis module comprises a time analysis unit, a threshold analysis unit and a cosine analysis unit;
s341, matching the current circuit current data and the current circuit temperature data acquisition time by using a time analysis unit to obtain historical circuit current data and historical circuit temperature data which are matched with the current circuit current data and the current circuit temperature data in terms of time;
s342, analyzing the historical circuit current data and the historical circuit temperature data obtained in the S341 by a threshold analyzing unit to obtain a circuit current threshold and a circuit temperature threshold;
and S342, calculating cosine values of the historical circuit current data and the historical circuit temperature data obtained in the step S341 and the current circuit current data and the current circuit temperature data by using a cosine analysis unit to obtain cosine values.
According to the technical scheme, firstly, historical circuit current data and historical circuit temperature data which are inconsistent with the collection time of a user collection terminal are eliminated, the collection time is different and has no reference value, the circuit current data have larger difference due to the use of different electric equipment in different time periods, then threshold analysis of the current circuit current data and the current circuit temperature data is carried out according to the historical circuit current data and the historical circuit temperature data which are matched in time, whether the threshold is met is judged, initial judgment is carried out on the current circuit current data and the current circuit temperature data, finally, similarity calculation is carried out by using a cosine analysis unit, and whether the current circuit current data and the current circuit temperature data are abnormal or not is determined in a datamation mode.
In step S341, the historical circuit current data and the historical circuit temperature data retrieved from the storage database by the data retrieving unit are collected into a set according to the collection time
Figure GDA0003254379570000161
And collections
Figure GDA0003254379570000162
Wherein the content of the first and second substances,
Figure GDA0003254379570000163
representing the nth collected historical circuit current data,
Figure GDA0003254379570000164
representing the nth collected historical circuit temperature data, and the time analysis unit is used for analyzing the current circuit current data t according to the following formulaFlow ofAnd set TFlow ofAnd the current circuit temperature data tTemperature ofAnd set TTemperature ofThe data difference in (2) is calculated:
Figure GDA0003254379570000165
Figure GDA0003254379570000166
wherein the content of the first and second substances,
Figure GDA0003254379570000167
representing present circuit current data tFlow ofAnd set TFlow ofIn
Figure GDA0003254379570000168
The difference between the values of the two signals,
Figure GDA0003254379570000169
representing the current circuit temperature data T temperature and the set TTemperature ofIn
Figure GDA00032543795700001610
The difference between the values of the two signals,
Figure GDA0003254379570000171
representation set TFlow ofThe k-th current data of (a),
Figure GDA0003254379570000172
representation set TTemperature ofThe kth temperature data of (1);
when in use
Figure GDA0003254379570000173
Indicating historical circuit current data in the aggregate T stream
Figure GDA0003254379570000174
With current circuit current data tFlow ofMatched in time against historical circuit current data
Figure GDA0003254379570000175
Making a call, and finally forming the current data t of the circuit in timeFlow ofMatching historical circuit current data sets
Figure GDA0003254379570000176
Wherein
Figure GDA0003254379570000177
Representing the mth and present circuit current data t in the set PFlow ofMatching historical circuit current data in time, wherein m is less than or equal to n;
when in use
Figure GDA0003254379570000178
Indicates the set TTemperature ofHistorical circuit temperature data in
Figure GDA0003254379570000179
With current circuit temperature data tTemperature ofMatching in time to historical circuit temperature data
Figure GDA00032543795700001710
Making a call, and finally forming the data t of the current circuit temperature in timeTemperature ofMatching sets of historical circuit temperature data
Figure GDA00032543795700001711
Wherein the content of the first and second substances,
Figure GDA00032543795700001712
representing the s-th and current circuit temperature data t in the set QTemperature ofAnd (3) matching historical circuit temperature data in time, wherein s is less than or equal to n, and a represents a set difference threshold.
By the technical scheme, the current data t flow and the current temperature data t of the current circuit can be selectedTemperature ofThe historical circuit current data and the historical circuit temperature data which are matched in time are equivalent to the analysis of the electricity utilization habits of users, and because the number of the electricity utilization equipment is different in different time periods of the users, the current and the temperature are changed, so that the reference of the historical circuit current data and the historical circuit temperature data can be ensured by matching the same time periods.
In step S342, the threshold analysis unit utilizes a set
Figure GDA00032543795700001713
Figure GDA00032543795700001714
And collections
Figure GDA00032543795700001715
For the current circuit current data tFlow ofAnd current circuit temperature data tTemperature ofThe threshold value of (a) is analyzed;
the threshold analysis unit removes the minimum value in the set P and processes the current circuit current data t according to the following formulaFlow ofMaximum value of threshold of
Figure GDA0003254379570000181
And (3) calculating:
Figure GDA0003254379570000182
the threshold analysis unit removes the maximum value in the set P and processes the current circuit current data t according to the following formulaFlow ofThreshold minimum of
Figure GDA0003254379570000183
And (3) calculating:
Figure GDA0003254379570000184
when in use
Figure GDA0003254379570000185
Time, current data t of current circuitFlow ofThe current data is normal current data, otherwise, the current data is abnormal data;
the threshold analysis unit removes the minimum value in the set Q and processes the current circuit current data t according to the following formulaTemperature ofMaximum value of threshold of
Figure GDA0003254379570000186
And (3) calculating:
Figure GDA0003254379570000187
the threshold analysis unit removes the maximum value in the set Q and processes the current circuit current data t according to the following formulaTemperature ofThreshold minimum of
Figure GDA0003254379570000188
And (3) calculating:
Figure GDA0003254379570000189
when in use
Figure GDA00032543795700001810
Time, indicates the current circuit temperature data tTemperature ofNormal temperature data, otherwise abnormal data.
By the technical scheme, the maximum value and the minimum value of the threshold are calculated by independently removing the maximum value and the minimum value in the set P and the set Q, so that the range of the minimum value and the maximum value of the threshold can be reduced, and the current circuit current data t can be subjected to calculationFlow ofAnd current circuit temperature data tTemperature ofThe judgment is more accurate.
In step S343, further determination is made with the cosine analysis unit for the abnormal data determined in step S342;
according to the following formula
Figure GDA0003254379570000191
Average value of (2)
Figure GDA0003254379570000192
And (3) calculating:
Figure GDA0003254379570000193
using cosine analysis unit to average value
Figure GDA0003254379570000194
Converting the vector by taking the origin as the starting point of the vector and the average value
Figure GDA0003254379570000195
The position is the end point of the vector, and the vector representation of the historical circuit current data is obtained
Figure GDA0003254379570000196
Using cosine analysis unit to analyze current data tFlow ofConverting the vector with the origin as the starting point of the vector and the current circuit current data tFlow ofObtaining a vector representation of the present current data as an end point of the vector
Figure GDA0003254379570000197
Current data vector of historical circuit according to the following formula
Figure GDA0003254379570000198
And the present current data vector
Figure GDA0003254379570000199
The cosine value cos θ between:
Figure GDA00032543795700001910
when cos theta is larger than or equal to c, the current data vector of the historical circuit is represented
Figure GDA00032543795700001911
And the present current data vector
Figure GDA00032543795700001912
Has high similarity between the current data tFlow ofNormal data;
representing historical circuit current data vector when cos theta < c
Figure GDA00032543795700001913
And the present current data vector
Figure GDA00032543795700001914
The similarity between the current data t and the current data t is lowFlow ofArranging a maintainer to overhaul the abnormal data by using an overhaul center, wherein c represents a set similarity threshold;
according to the following formula
Figure GDA0003254379570000201
Average value of (2)
Figure GDA0003254379570000202
And (3) calculating:
Figure GDA0003254379570000203
using cosine analysis unit to average value
Figure GDA0003254379570000204
Converting the vector by taking the origin as the starting point of the vector and the average value
Figure GDA0003254379570000205
The position is the end point of the vector, and the vector representation of the temperature data of the historical circuit is obtained
Figure GDA0003254379570000206
Using cosine analysis unit to analyze the current circuit temperature data tTemperature ofConverting the vector by taking the origin as the starting point of the vector and the current circuit temperature data tTemperature ofObtaining a vector representation of the current temperature data for the end point of the vector
Figure GDA0003254379570000207
Vector of historical circuit temperature data according to the following formula
Figure GDA0003254379570000208
With current temperature data vector
Figure GDA0003254379570000209
The cosine value cos α between:
Figure GDA00032543795700002010
when cos alpha is larger than or equal to d, the temperature data vector of the historical circuit is represented
Figure GDA00032543795700002011
With current temperature data vector
Figure GDA00032543795700002012
Has high similarity between the current circuit temperature data tTemperature ofNormal data;
representing a historical circuit temperature data vector when cos alpha < d
Figure GDA00032543795700002013
With current temperature data vector
Figure GDA00032543795700002014
The similarity between the current circuit temperature data t is lowTemperature ofArranging a maintainer to overhaul the abnormal data by using an overhaul center, wherein d represents a set similarity threshold;
abnormal data transmission to maintenance center, maintenance center arrange the maintainer and overhaul on the door, and normal data transmission saves to the storage database, makes things convenient for direct the calling and the comparison of data next time.
Through the technical scheme, whether the current circuit current data and the current circuit temperature data are abnormal data or not can be further judged by utilizing the similarity, and when the threshold value analysis unit carries out threshold value analysis, the threshold value range obtained through a formula of the threshold value analysis is small, whether the data are abnormal data or not can not be accurately judged, so that the similarity is judged through cosine value analysis, the type of the data can be further determined, and the judgment result is more accurate.
In step S4: the maintenance center is provided with a plurality of maintenance sub-centers and comprises a model establishing unit, a coordinate establishing unit, a position marking unit and a distance calculating unit;
s41, establishing a two-dimensional model of the overhaul center and a plurality of overhaul subcenter by using a model establishing unit;
s42, adding a plane rectangular coordinate system on the two-dimensional model obtained in the S41 by using a coordinate establishing unit;
s43, marking coordinate values of the positions of the overhaul center, the plurality of overhaul sub-centers and the user side on the plane rectangular coordinate system established in the S42 by using the position marking unit;
and S44, analyzing and calculating the distances between the coordinate values of the plurality of overhaul branch centers and the coordinate values of the user side generating the abnormal data by using the distance calculation unit.
Through the technical scheme, the distances between the plurality of overhaul sub-centers and the user side generating the abnormal data can be calculated in a digital mode, so that the overhaul sub-center closest to the user side generating the abnormal data can be selected according to the calculated distances to carry out the on-door overhaul, the circuit overhaul time is further shortened, and the probability of accidents caused by abnormal power utilization is reduced.
In step S43: the position coordinate values of a plurality of maintenance sub-centers marked by the position marking unit are (X)i,Yi) Forming a position coordinate set Z { (X) of the overhaul sub-center1,Y1),(X2,Y2),(X3,Y3),…,(Xw,Yw) W represents w overhaul sub-centers, and the position coordinate value of the user side marked by the position marking unit and generating the abnormal data is (X, Y);
in step S44, the distance calculationThe unit calculates the distances D between a plurality of overhaul subcontractors and the user side generating abnormal data according to the following formulai
Figure GDA0003254379570000221
And the maintenance center selects a maintenance sub-center closest to the user side generating the abnormal data according to the calculation result, informs the maintenance sub-center of the position coordinate value of the user side generating the abnormal data in a wireless communication transmission mode, and carries out circuit maintenance when the maintenance sub-center goes to the position of the user side.
Through the technical scheme, the overhaul time of the abnormal data circuit can be saved, and the time is won for the safe power utilization of the user side.
Example (b): the historical circuit current data and the historical circuit temperature data which are called from the storage database by the data calling unit form a set corresponding to the acquisition time
Figure GDA0003254379570000222
Figure GDA0003254379570000223
And collections
Figure GDA0003254379570000224
Figure GDA0003254379570000225
Wherein the content of the first and second substances,
Figure GDA0003254379570000226
representing the nth collected historical circuit current data,
Figure GDA0003254379570000227
representing the nth collected historical circuit temperature data, and the time analysis unit is used for analyzing the current circuit current data t according to the following formulaFlow ofAnd set TFlow ofAnd the current circuit temperature data tTemperature ofAnd set TTemperature ofThe data difference in (2) is calculated:
Figure GDA0003254379570000231
Figure GDA0003254379570000232
wherein the content of the first and second substances,
Figure GDA0003254379570000233
representing present circuit current data tFlow ofAnd set TFlow ofIn
Figure GDA0003254379570000234
The difference between the values of the two signals,
Figure GDA0003254379570000235
representing current circuit temperature data tTemperature ofAnd set TTemperature ofIn
Figure GDA0003254379570000236
The difference between the values of the two signals,
Figure GDA0003254379570000237
representing the kth current data in the set T stream,
Figure GDA0003254379570000238
representation set TTemperature ofThe kth temperature data of (1);
Figure GDA0003254379570000239
indicating a set TFlow ofHistorical circuit current data in
Figure GDA00032543795700002310
With current circuit current data tFlow ofMatched in time against historical circuit current data
Figure GDA00032543795700002311
Making a call, and finally forming the current data t of the circuit in timeFlow ofMatching historical circuit current data sets
Figure GDA00032543795700002312
Wherein
Figure GDA00032543795700002313
Representing the mth and present circuit current data t in the set PFlow ofMatching historical circuit current data in time, wherein m is less than or equal to n;
Figure GDA00032543795700002314
indicating a set TTemperature ofHistorical circuit temperature data in
Figure GDA00032543795700002315
With current circuit temperature data tTemperature ofMatching in time to historical circuit temperature data
Figure GDA00032543795700002316
Making a call, and finally forming the data t of the current circuit temperature in timeTemperature ofMatching sets of historical circuit temperature data
Figure GDA00032543795700002317
Wherein the content of the first and second substances,
Figure GDA00032543795700002318
representing the s-th and current circuit temperature data t in the set QTemperature ofThe historical circuit temperature data matched in time, s is less than or equal to n, and a is 5 to represent the set difference threshold.
The threshold analysis unit utilizes a set
Figure GDA00032543795700002319
And collections
Figure GDA00032543795700002320
For the current circuit current data tFlow ofAnd current circuit temperature data tTemperature ofThe threshold value of (a) is analyzed;
the threshold analysis unit removes the minimum value in the set P and processes the current circuit current data t according to the following formulaFlow ofMaximum value of threshold of
Figure GDA0003254379570000241
And (3) calculating:
Figure GDA0003254379570000242
the threshold analysis unit removes the maximum value in the set P and processes the current circuit current data t according to the following formulaFlow ofThreshold minimum of
Figure GDA0003254379570000243
And (3) calculating:
Figure GDA0003254379570000244
Figure GDA0003254379570000245
indicating present circuit current data tFlow ofIs abnormal data;
the threshold analysis unit removes the minimum value in the set Q and processes the current circuit current data t according to the following formulaTemperature ofMaximum value of threshold of
Figure GDA0003254379570000246
And (3) calculating:
Figure GDA0003254379570000247
the threshold analysis unit removes the maximum, root, of the set QCurrent circuit current data t according to the following formulaTemperature ofThreshold minimum of
Figure GDA0003254379570000248
And (3) calculating:
Figure GDA0003254379570000249
when in use
Figure GDA00032543795700002410
Time, indicates the current circuit temperature data tTemperature ofIs the exception data.
Further determination is made with the cosine analysis unit for the abnormal data determined in step S342;
according to the following formula
Figure GDA00032543795700002411
Average value of (2)
Figure GDA0003254379570000251
And (3) calculating:
Figure GDA0003254379570000252
using cosine analysis unit to average value
Figure GDA0003254379570000253
Converting the vector by taking the origin as the starting point of the vector and the average value
Figure GDA0003254379570000254
The position is the end point of the vector, and the vector representation of the historical circuit current data is obtained
Figure GDA0003254379570000255
Using cosine analysis unit to analyze current data tFlow ofTo carry outVector conversion, using the origin as the starting point of the vector, and using the current circuit current data tFlow ofObtaining a vector representation of the present current data as an end point of the vector
Figure GDA0003254379570000256
Current data vector of historical circuit according to the following formula
Figure GDA0003254379570000257
And the present current data vector
Figure GDA0003254379570000258
The cosine value cos θ between:
Figure GDA0003254379570000259
cos θ 0.86 ≧ c 0.8, representing the historical circuit current data vector
Figure GDA00032543795700002510
And the present current data vector
Figure GDA00032543795700002511
Has high similarity between the current data tFlow ofNormal data;
according to the following formula
Figure GDA00032543795700002512
Average value of (2)
Figure GDA00032543795700002513
And (3) calculating:
Figure GDA00032543795700002514
using cosine analysis unit to average value
Figure GDA00032543795700002515
Converting the vector by taking the origin as the starting point of the vector and the average value
Figure GDA00032543795700002516
The position is the end point of the vector, and the vector representation of the temperature data of the historical circuit is obtained
Figure GDA00032543795700002517
Using cosine analysis unit to analyze the current circuit temperature data tTemperature ofConverting the vector by taking the origin as the starting point of the vector and the current circuit temperature data tTemperature ofObtaining a vector representation of the current temperature data for the end point of the vector
Figure GDA0003254379570000261
Vector of historical circuit temperature data according to the following formula
Figure GDA0003254379570000262
With current temperature data vector
Figure GDA0003254379570000263
The cosine value cos α between:
Figure GDA0003254379570000264
cos alpha is 0.91 ≧ d is 0.9, representing the historical circuit temperature data vector
Figure GDA0003254379570000265
With current temperature data vector
Figure GDA0003254379570000266
Has high similarity between the current circuit temperature data tTemperature ofNormal data;
the maintenance center is provided with a plurality of maintenance sub-centers and comprises a model establishing unit, a coordinate establishing unit, a position marking unit and a distance calculating unit;
s41, establishing a two-dimensional model of the overhaul center and a plurality of overhaul subcenter by using a model establishing unit;
s42, adding a plane rectangular coordinate system on the two-dimensional model obtained in the S41 by using a coordinate establishing unit;
s43, marking coordinate values of the positions of the overhaul center, the plurality of overhaul sub-centers and the user side on the plane rectangular coordinate system established in the S42 by using the position marking unit;
and S44, analyzing and calculating the distances between the coordinate values of the plurality of overhaul branch centers and the coordinate values of the user side generating the abnormal data by using the distance calculation unit.
In step S43:
the position coordinate values of a plurality of maintenance sub-centers marked by the position marking unit are (X)i,Yi) Forming a position coordinate set Z { (X) of the overhaul sub-center1,Y1),(X2,Y2),(X3,Y3),(X4,Y4),(X5,Y5) W represents w overhaul sub-centers, and the position coordinate value of the user side marked by the position marking unit and generating the abnormal data is (X, Y);
in step S44, the distance calculating unit calculates distances D between the plurality of service hubs and the user side generating the abnormal data, respectively, according to the following formulai
Figure GDA0003254379570000271
Figure GDA0003254379570000272
Figure GDA0003254379570000273
Figure GDA0003254379570000274
Figure GDA0003254379570000275
And the maintenance center selects a maintenance sub-center closest to the user side generating the abnormal data according to the calculation result, informs the first maintenance sub-center of the position coordinate value of the user side generating the abnormal data in a wireless communication transmission mode, and carries out circuit maintenance on the first maintenance sub-center going to the position of the user side.

Claims (5)

1. A5G communication method for electric power distribution safety control is characterized in that: the method comprises the following steps:
s1, collecting the electricity data of the user terminal by using the electricity collection terminal to generate an encrypted message;
s2, carrying out wireless communication transmission on the encrypted message generated in S1 by using a 5G communication channel, and transmitting the encrypted message to a control center;
s3, decrypting the encrypted message transmitted by the S2 by using the management and control center, and analyzing and calculating the decrypted message;
s4, arranging a maintainer to go to the door for electric power overhaul by using an overhaul center according to the analysis and calculation result of S3;
in step S3:
the management and control center comprises a data decryption unit, a storage database, a data calling unit, a data analysis module and a conclusion judgment unit;
s31, decrypting the encrypted message transmitted by the 5G communication channel by using the data decryption unit to obtain current circuit current data and current circuit temperature data;
s32, storing the current and temperature data of the user power circuit analyzed by the tube control center by using a storage database;
s33, using the data retrieving unit to retrieve the historical circuit current data and the historical circuit temperature data from the storage database of S32;
s34, analyzing the current circuit current data and the current circuit temperature data decrypted by the data decryption unit and the historical circuit current data and the historical circuit temperature data called by the data calling unit by using the data analysis module to obtain a data analysis result;
s35, judging the data analysis result of the data analysis module by using a result judgment unit, and judging whether the current circuit current data and the current circuit temperature data are normal data or abnormal data;
in step S34;
the data analysis module comprises a time analysis unit, a threshold analysis unit and a cosine analysis unit;
s341, matching the current circuit current data and the current circuit temperature data acquisition time by using a time analysis unit to obtain historical circuit current data and historical circuit temperature data which are matched with the current circuit current data and the current circuit temperature data in terms of time;
s342, analyzing the historical circuit current data and the historical circuit temperature data obtained in the S341 by a threshold analyzing unit to obtain a circuit current threshold and a circuit temperature threshold;
s342, calculating cosine values of the historical circuit current data and the historical circuit temperature data obtained in the S341 and the current circuit current data and the current circuit temperature data by using a cosine analysis unit to obtain cosine values;
in step S341, the historical circuit current data and the historical circuit temperature data retrieved from the storage database by the data retrieving unit are collected into a set according to the collection time
Figure FDA0003254379560000021
And collections
Figure FDA0003254379560000022
Wherein the content of the first and second substances,
Figure FDA0003254379560000023
representing the nth collected historical circuit current data,
Figure FDA0003254379560000024
representing the nth collected historical circuit temperature data, and the time analysis unit is used for analyzing the current circuit current data t according to the following formulaFlow ofAnd set TFlow ofAnd the current circuit temperature data tTemperature ofAnd set TTemperature ofThe data difference in (2) is calculated:
Figure FDA0003254379560000031
Figure FDA0003254379560000032
wherein the content of the first and second substances,
Figure FDA0003254379560000033
representing present circuit current data tFlow ofAnd set TFlow ofIn
Figure FDA0003254379560000034
The difference between the values of the two signals,
Figure FDA0003254379560000035
representing current circuit temperature data tTemperature ofAnd set TTemperature ofIn
Figure FDA0003254379560000036
The difference between the values of the two signals,
Figure FDA0003254379560000037
representation set TFlow ofThe k-th current data of (a),
Figure FDA0003254379560000038
representation set TTemperature ofThe kth temperature data of (1);
when in use
Figure FDA0003254379560000039
Indicates the set TFlow ofHistorical circuit current data in
Figure FDA00032543795600000310
With current circuit current data tFlow ofMatched in time against historical circuit current data
Figure FDA00032543795600000311
Making a call, and finally forming the current data t of the circuit in timeFlow ofMatching historical circuit current data sets
Figure FDA00032543795600000312
Wherein
Figure FDA00032543795600000313
Representing the mth and present circuit current data t in the set PFlow ofMatching historical circuit current data in time, wherein m is less than or equal to n;
when in use
Figure FDA00032543795600000314
Indicates the set TTemperature ofHistorical circuit temperature data in
Figure FDA00032543795600000315
With current circuit temperature data tTemperature ofMatching in time to historical circuit temperature data
Figure FDA00032543795600000316
Making a call, and finally forming the data t of the current circuit temperature in timeTemperature ofMatching sets of historical circuit temperature data
Figure FDA00032543795600000317
Wherein the content of the first and second substances,
Figure FDA00032543795600000318
representing the s-th and current circuit temperature data t in the set QTemperature ofMatching historical circuit temperature data in time, wherein s is less than or equal to n, and a represents a set difference threshold;
in step S342, the threshold analysis unit utilizes a set
Figure FDA00032543795600000319
Figure FDA0003254379560000041
And collections
Figure FDA0003254379560000042
For the current circuit current data tFlow ofAnd current circuit temperature data tTemperature ofThe threshold value of (a) is analyzed;
the threshold analysis unit removes the minimum value in the set P and processes the current circuit current data t according to the following formulaFlow ofMaximum value of threshold of
Figure FDA0003254379560000043
And (3) calculating:
Figure FDA0003254379560000044
the threshold analysis unit removes the maximum value in the set P and processes the current circuit current data t according to the following formulaFlow ofThreshold minimum of
Figure FDA0003254379560000045
And (3) calculating:
Figure FDA0003254379560000046
when in use
Figure FDA0003254379560000047
Time, current data t of current circuitFlow ofThe current data is normal current data, otherwise, the current data is abnormal data;
the threshold analysis unit removes the minimum value in the set Q and processes the current circuit current data t according to the following formulaTemperature ofMaximum value of threshold of
Figure FDA0003254379560000048
And (3) calculating:
Figure FDA0003254379560000049
the threshold analysis unit removes the maximum value in the set Q and processes the current circuit current data t according to the following formulaTemperature ofThreshold minimum of
Figure FDA00032543795600000410
And (3) calculating:
Figure FDA00032543795600000411
when in use
Figure FDA00032543795600000412
Time, indicates the current circuit temperature data tTemperature ofNormal temperature data, or abnormal data;
in step S343, further determination is made with the cosine analysis unit for the abnormal data determined in step S342;
according to the following formula
Figure FDA0003254379560000051
Average value of (2)
Figure FDA0003254379560000052
And (3) calculating:
Figure FDA0003254379560000053
using cosine analysis unit to average value
Figure FDA0003254379560000054
Converting the vector by taking the origin as the starting point of the vector and the average value
Figure FDA0003254379560000055
The position is the end point of the vector, and the vector representation of the historical circuit current data is obtained
Figure FDA0003254379560000056
Using cosine analysis unit to analyze current data tFlow ofConverting the vector with the origin as the starting point of the vector and the current circuit current data tFlow ofObtaining a vector representation of the present current data as an end point of the vector
Figure FDA0003254379560000057
Current data vector of historical circuit according to the following formula
Figure FDA0003254379560000058
And the present current data vector
Figure FDA0003254379560000059
The cosine value cos θ between:
Figure FDA00032543795600000510
when cos theta is larger than or equal to c, the current data vector of the historical circuit is represented
Figure FDA00032543795600000511
And the present current data vector
Figure FDA00032543795600000512
Has high similarity between the current data tFlow ofNormal data;
representing historical circuit current data vector when cos theta < c
Figure FDA00032543795600000513
And the present current data vector
Figure FDA00032543795600000514
The similarity between the current data t and the current data t is lowFlow ofArranging a maintainer to overhaul the abnormal data by using an overhaul center, wherein c represents a set similarity threshold;
according to the following formula
Figure FDA00032543795600000515
Average value of (2)
Figure FDA00032543795600000516
And (3) calculating:
Figure FDA00032543795600000517
using cosine analysis unit to average value
Figure FDA0003254379560000061
Converting the vector by taking the origin as the starting point of the vector and the average value
Figure FDA0003254379560000062
The position is the end point of the vector, and the vector representation of the temperature data of the historical circuit is obtained
Figure FDA0003254379560000063
Using cosine analysis unit to analyze the current circuit temperature data tTemperature ofConverting the vector by taking the origin as the starting point of the vector and the current circuit temperature data tTemperature ofObtaining a vector representation of the current temperature data for the end point of the vector
Figure FDA0003254379560000064
Vector of historical circuit temperature data according to the following formula
Figure FDA0003254379560000065
With current temperature data vector
Figure FDA0003254379560000066
The cosine value cos α between:
Figure FDA0003254379560000067
when cos alpha is larger than or equal to d, the temperature data vector of the historical circuit is represented
Figure FDA0003254379560000068
With current temperature data vector
Figure FDA0003254379560000069
Has high similarity between the current circuit temperature data tTemperature ofNormal data;
representing a historical circuit temperature data vector when cos alpha < d
Figure FDA00032543795600000610
With current temperature data vector
Figure FDA00032543795600000611
The similarity between the current circuit temperature data t is lowTemperature ofArranging a maintainer to overhaul the abnormal data by using an overhaul center, wherein d represents a set similarity threshold;
and the abnormal data is transmitted to an overhaul center, the overhaul center arranges overhaul personnel to overhaul at the door, and the normal data is transmitted to a storage database to be stored.
2. The 5G communication method for electric power distribution safety management and control according to claim 1, characterized in that: in step S1:
the power consumption acquisition terminal comprises a current monitoring unit, a temperature monitoring unit and a data encryption unit;
s11, collecting the circuit current data of the user electricity by using the current monitoring unit to generate the current circuit current data;
s12, collecting circuit temperature data of the power consumption of the user by using a temperature monitoring unit to generate current circuit temperature data;
and S13, encrypting the current circuit current data generated in S11 and the current circuit temperature data generated in S12 by using a data encryption unit to generate an encrypted message.
3. The 5G communication method for electric power distribution safety management and control according to claim 2, characterized in that: in step S11, the current circuit current data collected by the current monitoring unit is I, the current circuit temperature data collected by the temperature monitoring unit is T, and the time for the current monitoring unit to collect the current circuit current data is TFlow ofThe time for the temperature monitoring unit to acquire the current circuit temperature data is tTemperature of
4. The 5G communication method for electric power distribution safety management and control according to claim 1, characterized in that: in step S4:
the maintenance center is provided with a plurality of maintenance sub-centers and comprises a model establishing unit, a coordinate establishing unit, a position marking unit and a distance calculating unit;
s41, establishing a two-dimensional model of the overhaul center and a plurality of overhaul subcenter by using a model establishing unit;
s42, adding a plane rectangular coordinate system on the two-dimensional model obtained in the S41 by using a coordinate establishing unit;
s43, marking coordinate values of the positions of the overhaul center, the plurality of overhaul sub-centers and the user side on the plane rectangular coordinate system established in the S42 by using the position marking unit;
and S44, analyzing and calculating the distances between the coordinate values of the plurality of overhaul branch centers and the coordinate values of the user side generating the abnormal data by using the distance calculation unit.
5. The 5G communication method for electric power distribution safety management and control according to claim 4, characterized in that: in step S43:
the position coordinate values of a plurality of maintenance sub-centers marked by the position marking unit are (X)i,Yi) Forming a position coordinate set Z { (X) of the overhaul sub-center1,Y1),(X2,Y2),(X3,Y3),…,(Xw,Yw) W represents w overhaul sub-centers, and the position coordinate value of the user side marked by the position marking unit and generating the abnormal data is (X, Y);
in step S44, the distance calculating unit calculates distances D between the plurality of service hubs and the user side generating the abnormal data, respectively, according to the following formulai
Figure FDA0003254379560000081
And the maintenance center selects a maintenance sub-center closest to the user side generating the abnormal data according to the calculation result, informs the maintenance sub-center of the position coordinate value of the user side generating the abnormal data in a wireless communication transmission mode, and carries out circuit maintenance when the maintenance sub-center goes to the position of the user side.
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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104319874A (en) * 2014-09-12 2015-01-28 国家电网公司 On-line monitoring system and method for status of power transmission line of intelligent power grid
CN110138087A (en) * 2019-05-31 2019-08-16 河南城建学院 A kind of electric power safety monitoring system based on data acquisition
CN110912915A (en) * 2019-11-29 2020-03-24 合肥开元埃尔软件有限公司 Communication safety early warning system based on data acquisition
CN111007353A (en) * 2019-11-21 2020-04-14 国家电网有限公司 Fault detection method based on combination of Beidou time service and power distribution network
CN111741073A (en) * 2020-05-27 2020-10-02 北京智芯微电子科技有限公司 Electric power data transmission system based on 5G communication network

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9172275B2 (en) * 2005-07-11 2015-10-27 Minesh Bhakta Power monitoring and control system and method

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104319874A (en) * 2014-09-12 2015-01-28 国家电网公司 On-line monitoring system and method for status of power transmission line of intelligent power grid
CN110138087A (en) * 2019-05-31 2019-08-16 河南城建学院 A kind of electric power safety monitoring system based on data acquisition
CN111007353A (en) * 2019-11-21 2020-04-14 国家电网有限公司 Fault detection method based on combination of Beidou time service and power distribution network
CN110912915A (en) * 2019-11-29 2020-03-24 合肥开元埃尔软件有限公司 Communication safety early warning system based on data acquisition
CN111741073A (en) * 2020-05-27 2020-10-02 北京智芯微电子科技有限公司 Electric power data transmission system based on 5G communication network

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
基于终端数据加密的电网运检智能管理***研究;朱强;《安阳师范学院学报》;20180415(第02期);第72-74页 *

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