CN113507169A - Method and system for improving station area subscriber identity module (FAI) identification accuracy based on frequency offset data - Google Patents
Method and system for improving station area subscriber identity module (FAI) identification accuracy based on frequency offset data Download PDFInfo
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- CN113507169A CN113507169A CN202110901588.8A CN202110901588A CN113507169A CN 113507169 A CN113507169 A CN 113507169A CN 202110901588 A CN202110901588 A CN 202110901588A CN 113507169 A CN113507169 A CN 113507169A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
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Abstract
The invention discloses a method and a system for improving station area subscriber identity module identification accuracy based on frequency offset data, which comprises the following steps: acquiring frequency offset data of the electric equipment and the concentrator; calculating the distance between the frequency deviation data and the characteristic value of the frequency deviation data; and judging whether the distance is smaller than a preset distance or not, wherein when the distance is smaller than the preset distance, the electric equipment belongs to the current transformer area. The invention aims to provide a method and a system for improving station area subscriber identity module identification accuracy based on frequency offset data, which improve the subscriber identity module identification accuracy on the basis of no need of installing equipment and adding an algorithm, thereby realizing intelligent subscriber identity module identification.
Description
Technical Field
The invention relates to the technical field of power system detection, in particular to a method and a system for improving station area outdoor transformer identification accuracy based on frequency offset data.
Background
In the field of low-voltage distribution networks, a power consumption management department needs to establish a user profile to ensure that marketing management can correctly manage users. Therefore, the power management department needs to determine the information of the attribution of the user profile, the identification relationship of the network topology and the like. However, with the construction and development of the power grid, the number of the users is increased and changed, the household variable relationships in the transformer area are often changed, the lines are crossed, and the changed household variable relationships are difficult to identify in time due to the buried lines, so that the acquisition success rate, automatic meter reading and line loss management and other services are influenced.
The traditional mode of carrying out the identification of family change at present is that the platform district recognizer is combined to the manual work, and not only inefficiency is wasted time and energy, and the effect is not good.
The current identification scheme for the user change has the following three methods:
method 1 power supply range analysis: the user variable relation is analyzed according to the specification of the power supply radius of the transformer and the position of a user, manual field analysis is needed, and efficiency is not high.
Method 2 power failure event analysis: and power failure measures are carried out on the specific area, the user change relationship is determined, and the normal life of the power users in the transformer area is influenced.
Method 3, carrier wave meter reading communication network analysis method: and the user variable relationship identification is carried out according to the communication characteristics of the carrier meter reading communication network, additional equipment needs to be added, and the complexity is high.
Disclosure of Invention
The invention aims to provide a method and a system for improving station area subscriber identity module identification accuracy based on frequency offset data, which improve the subscriber identity module identification accuracy on the basis of no need of installing equipment and adding an algorithm, thereby realizing intelligent subscriber identity module identification.
The invention is realized by the following technical scheme:
a method for improving station area user change identification accuracy based on frequency offset data comprises the following steps:
s1: acquiring frequency offset data of the electric equipment and the concentrator;
s2: calculating the distance between the frequency deviation data and the characteristic value of the frequency deviation data;
s3: and judging whether the distance is smaller than a preset distance or not, wherein when the distance is smaller than the preset distance, the electric equipment belongs to the current transformer area.
Preferably, the predetermined distance is 5.00 ppm.
Preferably, the generating of the characteristic value of the frequency offset data comprises the following steps:
step 1: acquiring first frequency offset data of the electric equipment and the concentrator, wherein the first frequency offset data is acquired when the electric equipment is installed;
step 2: grouping the electric equipment according to the first frequency offset data;
and step 3: and calculating the average value of the first frequency deviation data of the electric equipment in each group, wherein the average value is used as the characteristic value of the frequency deviation data.
Preferably, said step 2 comprises the following sub-steps:
randomly selecting one electric device, and sequentially calculating the difference value of the first frequency offset data corresponding to the electric device and the first frequency offset data corresponding to the rest electric devices;
and judging whether the difference value is smaller than a preset difference value or not, and dividing the electric equipment corresponding to the difference value into a group when the difference value is smaller than the preset difference value.
Preferably, the predetermined difference is 1.00 ppm.
A system for improving station area user change identification accuracy based on frequency offset data comprises a first acquisition module, a second acquisition module, a calculation module and a judgment module;
the first obtaining module is used for obtaining frequency offset data of the electric equipment and the concentrator;
the second obtaining module is used for obtaining a frequency offset data characteristic value;
the calculating module is used for calculating the distance between the frequency offset data and the characteristic value of the frequency offset data;
the interpretation module is used for judging whether the distance is smaller than a preset distance or not, and when the distance is smaller than the preset distance, the electric equipment belongs to the current transformer area.
Preferably, the predetermined distance is 5.00 ppm.
Preferably, the second acquiring module comprises an acquiring unit, a grouping unit and a calculating unit;
the acquiring unit is configured to acquire first frequency offset data between the electrical device and the concentrator, where the first frequency offset data is acquired when the electrical device is installed;
the grouping unit is used for grouping the electric equipment according to the first frequency offset data;
the calculating unit is configured to calculate an average value of the first frequency offset data of the electrical device in each group, where the average value is used as the characteristic value of the frequency offset data.
Preferably, the grouping unit includes a calculating subunit and a judging subunit;
the calculating subunit is configured to randomly select one of the electrical devices, and sequentially calculate a difference between the first frequency offset data corresponding to the electrical device and the first frequency offset data corresponding to the other electrical devices;
the judging subunit is configured to judge whether the difference is smaller than a preset difference, and when the difference is smaller than the preset difference, divide the electrical equipment corresponding to the difference into a group.
Preferably, the predetermined difference is 1.00 ppm.
Compared with the prior art, the invention has the following advantages and beneficial effects:
under the condition of not increasing the workload of equipment and personnel, the user-variant relationship is identified through the frequency offset data, so that manpower and material resources are saved, and the accuracy of identifying the user-variant relationship in the transformer area is improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the principles of the invention. In the drawings:
FIG. 1 is a block flow diagram of a method of identifying user variations in accordance with the present invention;
fig. 2 is a diagram of a user-change recognition application scenario of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to examples and accompanying drawings, and the exemplary embodiments and descriptions thereof are only used for explaining the present invention and are not meant to limit the present invention.
Example 1
The embodiment provides a method for improving station area user change identification accuracy based on frequency offset data, as shown in fig. 1, the method includes the following steps:
step 1: when a user installs the electric equipment, normal communication is carried out and frequency offset data is obtained from a physical layer;
it will be appreciated that the powered device is installed in communication with the concentrator, and that the frequency offset data for the device and concentrator may be obtained from the physical layer in the communication. After the electric equipment is successfully installed, the position relation and the connection relation between the electric equipment and the concentrator are relatively stable, so that the frequency offset data between the electric equipment and the concentrator has certain stability, and the data has reference significance in the identification of the user-variant relation.
Step 2: establishing a file of frequency offset data grouping, and recording the characteristic value of the frequency offset data of each group of electric equipment;
specifically, the frequency offset data calculated in step 1 is recorded in a frequency offset grouping file of the station area in a grouping manner, and if frequency offset data of several electric devices are consistent or similar (difference value of device frequency offset data is less than or equal to 1.00ppm), the several electric devices are combined into a group, and a characteristic value of the frequency offset data of the group is an average value of the group of frequency offset data. In the scenario shown in fig. 2, a frequency offset packet profile may be established as shown in table 1 below:
TABLE 1 frequency offset packet archive
And step 3: checking frequency deviation data periodically during subsequent communication; specifically, the method comprises the following steps:
when the electric equipment communicates with the concentrator, the physical layer calculates frequency offset data of the electric equipment, and compares the distance between the frequency offset data calculated this time and each group of stored frequency offset data characteristic values, and the distance meets the judgment condition (the judgment condition is that the distance between the frequency offset data and a certain group of frequency offset data characteristic values in the archive is within 5.00 ppm), the electric equipment can be considered to belong to the local area, otherwise, the electric equipment does not belong to the local area.
Example 2
The embodiment provides a system for improving station area subscriber identity module identification accuracy based on frequency offset data, which comprises a first acquisition module, a second acquisition module, a calculation module and a judgment module;
the first acquisition module is used for acquiring frequency offset data of the electric equipment and the concentrator;
the second obtaining module is used for obtaining the characteristic value of the frequency offset data;
specifically, the second obtaining module in this embodiment includes an obtaining unit, a grouping unit, and a calculating unit;
the acquisition unit is used for acquiring first frequency offset data of the electric equipment and the concentrator, and the first frequency offset data is acquired when the electric equipment is installed;
the grouping unit is used for grouping the electric equipment according to the first frequency offset data;
and the calculating unit is used for calculating the average value of the first frequency offset data of the electric equipment in each group, and the average value is used as the characteristic value of the frequency offset data.
The grouping unit comprises a calculating subunit and a judging subunit;
the calculating subunit is used for randomly selecting one electric equipment and sequentially calculating the difference value between the first frequency offset data corresponding to the electric equipment and the first frequency offset data corresponding to the rest electric equipment;
and the judging subunit is configured to judge whether the difference is smaller than a preset difference, and when the difference is smaller than the preset difference, divide the electrical devices corresponding to the difference into a group, where the preset difference is 1.00ppm in this embodiment. Namely: if the difference value of the first frequency deviation data of several devices is less than or equal to 1.00ppm, the several devices are combined into a group.
The calculation module is used for calculating the distance between the frequency deviation data and the characteristic value of the frequency deviation data;
and the interpretation module is used for judging whether the distance is smaller than the preset distance or not, and when the distance is smaller than the preset distance, the electric equipment belongs to the current transformer area. In this example, the predetermined distance is 5.00 ppm. Namely: and if the distance between the frequency deviation data and the characteristic value of a certain group of frequency deviation data is within 5.00ppm, the electric equipment can be considered to belong to the local area, otherwise, the electric equipment does not belong to the local area.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. A method for improving station area user variation identification accuracy based on frequency offset data is characterized by comprising the following steps:
s1: acquiring frequency offset data of the electric equipment and the concentrator;
s2: calculating the distance between the frequency deviation data and the characteristic value of the frequency deviation data;
s3: and judging whether the distance is smaller than a preset distance or not, wherein when the distance is smaller than the preset distance, the electric equipment belongs to the current transformer area.
2. The method of claim 1, wherein the predetermined distance is 5.00 ppm.
3. The method of claim 1 or 2, wherein the generating of the characteristic value of the frequency offset data comprises the following steps:
step 1: acquiring first frequency offset data of the electric equipment and the concentrator, wherein the first frequency offset data is acquired when the electric equipment is installed;
step 2: grouping the electric equipment according to the first frequency offset data;
and step 3: and calculating the average value of the first frequency deviation data of the electric equipment in each group, wherein the average value is used as the characteristic value of the frequency deviation data.
4. The method of claim 3, wherein the step 2 comprises the following sub-steps:
randomly selecting one electric device, and sequentially calculating the difference value of the first frequency offset data corresponding to the electric device and the first frequency offset data corresponding to the rest electric devices;
and judging whether the difference value is smaller than a preset difference value or not, and dividing the electric equipment corresponding to the difference value into a group when the difference value is smaller than the preset difference value.
5. The method of claim 4, wherein the predetermined difference is 1.00 ppm.
6. A system for improving station area user change identification accuracy based on frequency offset data is characterized by comprising a first acquisition module, a second acquisition module, a calculation module and a judgment module;
the first obtaining module is used for obtaining frequency offset data of the electric equipment and the concentrator;
the second obtaining module is used for obtaining a frequency offset data characteristic value;
the calculating module is used for calculating the distance between the frequency offset data and the characteristic value of the frequency offset data;
the interpretation module is used for judging whether the distance is smaller than a preset distance or not, and when the distance is smaller than the preset distance, the electric equipment belongs to the current transformer area.
7. The system of claim 6, wherein the predetermined distance is 5.00 ppm.
8. The system for improving station area user variation identification accuracy based on frequency deviation data according to claim 6 or 7, wherein the second obtaining module comprises an obtaining unit, a grouping unit and a calculating unit;
the acquiring unit is configured to acquire first frequency offset data between the electrical device and the concentrator, where the first frequency offset data is acquired when the electrical device is installed;
the grouping unit is used for grouping the electric equipment according to the first frequency offset data;
the calculating unit is configured to calculate an average value of the first frequency offset data of the electrical device in each group, where the average value is used as the characteristic value of the frequency offset data.
9. The system for improving identification accuracy of station area subscriber variation based on frequency offset data as claimed in claim 8, wherein said grouping unit comprises a calculating subunit and a judging subunit;
the calculating subunit is configured to randomly select one of the electrical devices, and sequentially calculate a difference between the first frequency offset data corresponding to the electrical device and the first frequency offset data corresponding to the other electrical devices;
the judging subunit is configured to judge whether the difference is smaller than a preset difference, and when the difference is smaller than the preset difference, divide the electrical equipment corresponding to the difference into a group.
10. The system of claim 9, wherein the predetermined difference is 1.00 ppm.
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| CN202110901588.8A CN113507169B (en) | 2021-08-06 | 2021-08-06 | Method and system for improving identification accuracy of user transformer in station area based on frequency offset data |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114867018A (en) * | 2022-06-06 | 2022-08-05 | 西安交通大学 | Device identification authentication method, system and storage medium using carrier frequency offset |
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