CN110335169B - Low-voltage user accurate identification method based on multi-source data fusion - Google Patents
Low-voltage user accurate identification method based on multi-source data fusion Download PDFInfo
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Abstract
The invention discloses a method for accurately identifying low-voltage users based on multi-data fusion, which relates to the field of electric power metering, and is characterized in that low-voltage multi-source data of users, which can be collected by a power grid enterprise in daily production work, are integrated, and corresponding multi-source data fusion is carried out on the data to obtain a fused list; performing preliminary filtering according to the fused list to obtain a suspected low-voltage user list after fusion processing; calling the fused suspected low-voltage user list, and judging and generating the called suspected low-voltage user list according to the called user voltage data; and checking according to the two lists obtained finally to determine a final low-voltage user list. According to the invention, the time for independently counting the low-voltage list by a power grid enterprise is saved, and the investment of labor cost for counting the low-voltage user list is saved; meanwhile, low voltage is judged and integrated from the multi-source data fusion angle, so that a low voltage user list is more accurate and reliable.
Description
Technical Field
The invention relates to the field of electric power metering, in particular to a method for accurately identifying low-voltage users based on multi-source data fusion.
Background
Along with the gradual increase of the electricity consumption of residents, the electricity utilization service quality of power supply enterprises is also continuously promoted. The power supply enterprise needs to find a series of problems, typically low voltage, of the users in the power utilization process in time in order to better meet the power utilization requirements of the users and service the users. The method depends on a metering automation system to carry out low-voltage detection, data fusion is carried out by applying a corresponding fusion algorithm through the sources of all low-voltage user lists, meanwhile, point-to-point test calling is carried out on the generated low-voltage user lists by combining the metering automation system, and finally the low-voltage user lists of the network area are determined.
Disclosure of Invention
The invention aims to provide a method for accurately identifying low-voltage users based on multi-source data fusion, thereby overcoming the defects of time consumption and labor consumption of the traditional method for obtaining a low-voltage user list.
In order to achieve the aim, the invention provides a method for accurately identifying a low-voltage user based on multi-source data fusion, which comprises the following steps:
s1, collecting and integrating low-voltage user multi-source data;
s2, fusing the multi-source data of the low-voltage users to obtain a fused suspected low-voltage user list, and preliminarily filtering the fused suspected low-voltage user list to obtain a fused suspected low-voltage user list, wherein the voltage users normally use electricity;
s3, testing the fused suspected low-voltage user list, and judging and generating the suspected low-voltage user list according to the tested user voltage data;
and S4, checking the suspected low-voltage user list after the fusion processing and the suspected low-voltage user list after the test, and generating a final low-voltage user list.
Further, low voltage user multisource data judges the source according to the low-voltage and gathers and integrate, includes:
(1) collecting 12398 or 95598 complaint information, classifying the complaint information, setting users who complain due to low voltage as suspected low-voltage users, and counting the suspected low-voltage users to generate a suspected low-voltage user list;
(2) collecting a suspected low-voltage user list detected in daily work of on-site operation and maintenance workers of a power supply bureau;
(3) setting a low-voltage judgment condition by depending on a metering automation system, analyzing and judging user voltage data by the metering automation system to obtain a primary low-voltage user, and counting the primary low-voltage user to generate a suspected low-voltage user list;
(4) and analyzing and processing the user voltage data in the concentrator, judging low-voltage users, and generating a suspected low-voltage user list.
Further, the functions of the concentrator are expanded: and adding a function of judging whether the recorded user voltage data is low voltage into the concentrator, generating alarm information by the concentrator for users with the user voltage data being low voltage, reporting the low voltage users, and generating a suspected low voltage user list by the metering automation system master station according to the reported low voltage users.
Further, expanding the function of the concentrator is specifically set as follows according to the requirement of distributed processing information:
(1) the concentrator stores 384 electric meter load records, namely 96 electric meter load records are stored for 6 days every day;
(2) the concentrator selects a measuring point and collects ammeter load record data in a selected time period through parameters;
(3) the concentrator reports time points and data corresponding to the high and low voltages reached by each measuring point in one day to a metering automation system main station;
(4) the concentrator judges the recorded voltage data according to the threshold values of the low voltage and the high voltage to form an alarm and reports the alarm to a main station of the metering automation system; alarms are generated periodically as needed, e.g., daily; the alarms include the time point and number of times the day before each measurement point reached the threshold for high and low voltages.
Further, the S2 specifically includes the following steps:
s21, integrating the four types of suspected low-voltage user lists collected in the S1, extracting the four types of suspected low-voltage user lists according to the low-voltage type and the time point of the user, removing repeated suspected low-voltage user lists in the four types of suspected low-voltage user lists, and generating a fused suspected low-voltage user list;
s22, extracting historical voltage curves and characteristic information of the suspected low-voltage users in the fused suspected low-voltage user list in the metering automation system by means of the metering automation system according to the fused suspected low-voltage user list;
s23, analyzing and processing the historical voltage curve and the characteristic information of the suspected low-voltage user respectively, and preliminarily judging to obtain a low-voltage user and a normal power utilization voltage user;
and S24, marking the voltage users with normal electricity consumption in the fused suspected low-voltage user list to obtain the fused suspected low-voltage user list.
Further, the S23 specifically includes: if the low-voltage curve and the characteristic information exist in the historical actual voltage curve and the characteristic information of the low-voltage-like user, preliminarily judging that the suspected low-voltage user is a low-voltage user; and if the historical actual voltage curve and the characteristic information actual voltage curve of the suspected low-voltage user do not have the low-voltage curve and the characteristic information, preliminarily judging that the suspected low-voltage user is a normal power utilization voltage user.
Further, the S3 includes the following steps:
s31, issuing a voltage data acquisition command to the acquisition terminal through the metering automation system;
s32, the transformer area concentrator receives a voltage data acquisition instruction, and voltage data acquisition of a user is carried out on the electric energy meter in the transformer area according to the voltage data acquisition instruction;
and S33, the concentrator analyzes the collected user voltage data by utilizing the self expansion function according to the collected voltage data of the electric energy meter to judge whether the collected user voltage data is a low-voltage user, correspondingly marks the collected user voltage data in the suspected low-voltage user list obtained in S2, and generates the suspected low-voltage user list after the summoning.
Further, the checking method comprises: and removing repeated voltage users with normal power consumption in the suspected low-voltage user list after the fusion processing and the suspected low-voltage user list after the recall and test.
Compared with the prior art, the traditional method for acquiring the low-voltage user list is to call voltage data of the whole network area by only depending on the metering automation master station, judge and process all the called voltage data by depending on the metering automation master station, and determine the low-voltage user list of the network area; the method is time consuming and laborious. The invention relates to a method for accurately identifying low-voltage users based on multi-source data fusion, which integrates the multi-source data of low voltage of users, which can be collected by power grid enterprises in daily production work, and performs corresponding multi-source data fusion on the data to obtain a fused list; performing preliminary filtering according to the fused list to obtain a suspected low-voltage user list after fusion processing; calling the fused suspected low-voltage user list, and judging and generating the called suspected low-voltage user list according to the called user voltage data; checking according to the two lists obtained finally to determine a final low-voltage user list; compared with the traditional method for judging the low-voltage user list of the network area, the method has the advantages that the time for independently counting the low-voltage user list of the power grid enterprise is saved, and the labor cost for counting the low-voltage user list is saved; meanwhile, low voltage is judged and integrated from the multi-source data fusion angle, so that a low voltage user list is more accurate and reliable.
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In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only one embodiment of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on the drawings without creative efforts.
FIG. 1 is a flow chart of a method for accurately identifying low-voltage users based on multi-source data fusion according to the invention.
Detailed Description
The technical solutions in the present invention are 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.
As shown in FIG. 1, the method for accurately identifying the low-voltage user based on the multi-source data fusion provided by the invention comprises the following steps:
s1, collecting and integrating low-voltage user multi-source data; specifically, the low voltage user list is integrated according to the source of the low voltage user list, and the suspected low voltage user list is collected and integrated according to the following sources:
(1) collecting 12398 or 95598 complaint information, classifying the complaint information, setting users suffering from complaints caused by low voltage as suspected low voltage users, and counting the suspected low voltage users to generate a suspected low voltage user list;
(2) collecting a suspected low-voltage user list detected in daily work of on-site operation and maintenance workers of a power supply bureau;
(3) setting a low-voltage judgment condition by depending on a metering automation system, analyzing and judging user voltage data by the metering automation system to obtain a preliminary low-voltage user, and counting the preliminary low-voltage user to generate a suspected low-voltage user list;
(4) analyzing and processing the user voltage data in the concentrator, judging low-voltage users, and generating a suspected low-voltage user list;
specifically, the function of the concentrator is expanded, the function of judging whether the recorded user voltage data is low voltage is added into the concentrator, the concentrator generates alarm information for users with low voltage of the user voltage data, reports the low voltage users, and the metering automation system master station generates a suspected low voltage user list according to the reported low voltage users.
The function of the expansion concentrator is expanded and designed under a south network 2013 protocol framework according to the requirement of distributed processing information, and the following settings are added:
(1) the concentrator stores 384 points of electric meter load records, namely 96 points of each day are stored for 6 days;
(2) the concentrator selects a measuring point and collects ammeter load record data in a selected time period through parameters;
(3) the concentrator reports time points and data corresponding to the high and low voltages reached by each measuring point in one day to a metering automation system main station;
(4) the concentrator judges the recorded voltage data according to the threshold values of the low voltage and the high voltage to form an alarm and reports the alarm to a main station of the metering automation system; alarms are generated periodically as needed, e.g., daily; the alarms include the time point and number of times the day before each measurement point reached the threshold for high and low voltages.
And S2, fusing the multi-source data of the low-voltage users to obtain a fused suspected low-voltage user list, and preliminarily filtering the fused suspected low-voltage user list to obtain a fused suspected low-voltage user list. Specifically, the method comprises the following steps:
s21, integrating the four types of suspected low-voltage user lists collected in the S1, extracting the four types of suspected low-voltage user lists according to the low-voltage type and the time point of the user, removing repeated suspected low-voltage user lists in the four types of suspected low-voltage user lists, and generating a fused suspected low-voltage user list;
s22, extracting historical voltage curves and characteristic information of suspected low-voltage users in the fused suspected low-voltage user list in the metering automation system by means of the metering automation system according to the fused suspected low-voltage user list;
s23, analyzing and processing the historical voltage curve and the characteristic information of the suspected low-voltage user respectively: if the historical voltage curve and the characteristic information of the suspected low-voltage user contain the low-voltage curve and the characteristic information, wherein the low-voltage curve and the characteristic information are as follows: if the voltage curve has a user voltage curve lower than 198V and the monthly accumulated time of low voltage of the user characteristic information exceeds 10 hours, determining that the suspected low-voltage user is a low-voltage user; if the voltage curve and the characteristic information of the suspected low-voltage user do not have the voltage curve and the characteristic information of the low voltage, the suspected low-voltage user is judged to be a voltage user with normal electricity;
and S24, marking the voltage users with normal electricity consumption in the fused suspected low-voltage user list to obtain the fused suspected low-voltage user list.
And S3, recalling and testing the fused suspected low-voltage user list, and judging and generating the recalled suspected low-voltage user list according to recalled and tested user voltage data. Specifically, the method comprises the following steps:
performing point-to-point voltage data recall on the low-voltage users in the suspected low-voltage user list obtained in the step S2; issuing a voltage data acquisition command to an acquisition terminal through a metering automation system; the transformer area concentrator receives a voltage data acquisition command, and performs voltage data acquisition of users on the electric energy meter in the transformer area according to the voltage data acquisition command; and the concentrator analyzes the collected user voltage data by utilizing the self expansion function according to the collected voltage data of the electric energy meter to judge whether the user voltage data is a low-voltage user, correspondingly marks the user voltage data in the suspected low-voltage user list obtained in the step S2, and generates the suspected low-voltage user list after the test is summoned.
And S4, checking the suspected low-voltage user list after the fusion processing and the suspected low-voltage user list after the summoning processing to generate a final low-voltage user list.
The checking method comprises the following steps: and removing repeated voltage users with normal power consumption in the suspected low-voltage user list after the fusion processing and the suspected low-voltage user list after the recall and test.
In conclusion, compared with the traditional method for judging the low-voltage user list of the network area, the method for accurately identifying the low-voltage users based on multi-source data fusion not only saves the time for independently counting the low-voltage user list of the power grid enterprise, but also saves the investment of labor cost for counting the low-voltage user list; meanwhile, low voltage is judged and integrated from the multi-source data fusion angle, so that a low voltage user list is more accurate and reliable.
The above disclosure is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any changes or modifications within the technical scope of the present disclosure may be easily conceived by those skilled in the art and shall be covered by the scope of the present invention.
Claims (4)
1. A method for accurately identifying low-voltage users based on multi-source data fusion is characterized by comprising the following steps: the method comprises the following steps:
s1, collecting and integrating low-voltage user multi-source data;
s2, fusing the multi-source data of the low-voltage users to obtain a fused suspected low-voltage user list, and preliminarily filtering the fused suspected low-voltage user list to obtain a fused suspected low-voltage user list, wherein the power consumption of the voltage users is normal;
the S2 specifically includes the following steps:
s21, integrating the four types of suspected low-voltage user lists collected in the S1, extracting the four types of suspected low-voltage user lists according to the low-voltage type and the time point of the user, removing repeated suspected low-voltage user lists in the four types of suspected low-voltage user lists, and generating a fused suspected low-voltage user list;
s22, extracting historical voltage curves and characteristic information of suspected low-voltage users in the fused suspected low-voltage user list in the metering automation system by means of the metering automation system according to the fused suspected low-voltage user list;
s23, analyzing and processing the historical voltage curve and the characteristic information of the suspected low-voltage user respectively, and preliminarily judging to obtain a low-voltage user and a normal power utilization voltage user;
the S23 specifically includes: if the low-voltage curve and the characteristic information exist in the historical actual voltage curve and the characteristic information of the low-voltage-like user, preliminarily judging that the suspected low-voltage user is a low-voltage user; if the historical actual voltage curve and the characteristic information actual voltage curve of the suspected low-voltage user do not have the low-voltage curve and the characteristic information, preliminarily judging that the suspected low-voltage user is a normal power utilization voltage user;
s24, marking voltage users with normal electricity consumption in the fused suspected low-voltage user list to obtain a fused suspected low-voltage user list;
s3, recalling and testing the fused suspected low-voltage user list, and judging and generating the recalled suspected low-voltage user list according to recalled and tested user voltage data;
the S3 includes the steps of:
s31, issuing a voltage data acquisition command to an acquisition terminal through a metering automation system;
s32, the transformer area concentrator receives a voltage data acquisition instruction, and voltage data acquisition of a user is carried out on the electric energy meter in the transformer area according to the voltage data acquisition instruction;
s33, the concentrator analyzes the collected user voltage data by utilizing the self expansion function according to the collected voltage data of the electric energy meter to judge whether the collected user voltage data is a low-voltage user, and correspondingly marks the collected user voltage data in the suspected low-voltage user list obtained in S2 to generate the suspected low-voltage user list after the summoning;
s4, checking the suspected low-voltage user list after the fusion processing and the suspected low-voltage user list after the test, and generating a final low-voltage user list;
the checking method comprises the following steps: and removing repeated voltage users with normal power consumption in the suspected low-voltage user list after the fusion processing and the suspected low-voltage user list after the recall and test.
2. The method for accurately identifying the low-voltage user based on the multi-source data fusion according to claim 1, characterized in that: the low-voltage user multi-source data is collected and integrated according to a low-voltage judgment source, and the method comprises the following steps:
(1) collecting 12398 or 95598 complaint information, classifying the complaint information, setting users suffering from complaints caused by low voltage as suspected low-voltage users, and counting the suspected low-voltage users to generate a suspected low-voltage user list;
(2) collecting a suspected low-voltage user list detected in daily work of on-site operation and maintenance workers of a power supply bureau;
(3) setting a low-voltage judgment condition by depending on a metering automation system, analyzing and judging user voltage data by the metering automation system to obtain a preliminary low-voltage user, and counting the preliminary low-voltage user to generate a suspected low-voltage user list;
(4) and analyzing and processing the user voltage data in the concentrator, judging low-voltage users and generating a suspected low-voltage user list.
3. The method for accurately identifying the low-voltage user based on the multi-source data fusion according to claim 2, characterized in that: expanding the functionality of the concentrator: and adding a function of judging whether the recorded user voltage data is low voltage into the concentrator, generating alarm information by the concentrator for users with the user voltage data being low voltage, reporting the low voltage users, and generating a suspected low voltage user list by the metering automation system master station according to the reported low voltage users.
4. The method for accurately identifying low-voltage users based on multi-source data fusion according to claim 3, characterized in that: expanding the function of the concentrator and specifically setting as follows according to the requirement of distributed processing information:
(1) the concentrator stores 384-point electric meter load records;
(2) the concentrator selects a measuring point and collects ammeter load record data in a selected time period through parameters;
(3) the concentrator reports time points and data corresponding to the high and low voltages of all measuring points in one day to a metering automation system main station;
(4) the concentrator judges the recorded voltage data according to the threshold values of low voltage and high voltage to form an alarm and reports the alarm to a main station of the metering automation system; the alarm is generated regularly according to the requirement, namely generated every day; the alarms include the time point and number of times the day before each measurement point reached the threshold for high and low voltages.
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