CN116821115A - Electric charge accounting service and data problem traceability error correction system and method - Google Patents
Electric charge accounting service and data problem traceability error correction system and method Download PDFInfo
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Abstract
The invention discloses an electricity fee accounting service, which comprises an electricity consumption acquisition module, a power consumption management module and a power consumption management module, wherein the electricity consumption acquisition module is used for acquiring the electricity consumption of a user terminal; the user electricity charge accounting module is used for accounting the electricity charge of each user terminal; the database module is used for storing the electricity consumption and the electricity fee of the user terminal; and the traceability error correction module is used for carrying out traceability error correction on the electric charge and electric quantity data stored in the database module. The invention can improve the defects of the prior art, reduce the data processing amount of the traceability error correction of the electric charge accounting service and improve the efficiency of the traceability error correction.
Description
Technical Field
The invention relates to the technical field of remote electric charge accounting of a power grid system, in particular to a system and a method for tracing and correcting electric charge accounting business and data problems.
Background
In the power marketing business, the electric charge check is a business with larger workload, and the whole check system basically realizes systemization along with the development of an electric charge remote check network, thereby greatly reducing the manual investment. However, the problem of error correction in the process of accounting the electric charge is accompanied by difficulties in a wide range and a large amount of data. How to achieve effective traceability error correction with minimal data throughput is one of the hot spots studied in the art.
Disclosure of Invention
The invention aims to solve the technical problem of providing an electric charge accounting service and a data problem tracing error correction system and method, which can solve the defects of the prior art, reduce the data processing amount of the electric charge accounting service tracing error correction and improve the efficiency of tracing error correction.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows.
An electric charge accounting service and data problem traceability error correction system comprises,
the electricity consumption acquisition module is used for acquiring electricity consumption of the user terminal;
the user electricity charge accounting module is used for accounting the electricity charge of each user terminal;
the database module is used for storing the electricity consumption and the electricity fee of the user terminal;
and the traceability error correction module is used for carrying out traceability error correction on the electric charge and electric quantity data stored in the database module.
The tracing error correction method of the tracing error correction system for the electric charge accounting service and the data problem comprises the following steps:
A. the electricity consumption acquisition module acquires the electricity consumption of the user terminal and sends the electricity consumption data of the user terminal to the electricity charge accounting module of the user;
B. the user electricity charge accounting module accounts for the electricity charge of each user terminal;
C. the power consumption acquisition module and the user electricity charge accounting module respectively send the power consumption data of the user terminal and the corresponding electricity charge data to the database module for storage;
D. and the traceability error correction module performs traceability error correction on the electric charge and electric quantity data stored in the database module.
Preferably, in step C, a tree topology structure is established in the database module, each user terminal and each upper terminal are used as nodes of the tree topology structure, each upper terminal node is connected with at least one user terminal node or one upper terminal node, and each user terminal node is uniquely connected with one upper terminal node; each user terminal node stores the electricity consumption data and the electricity fee data of the corresponding user terminal, and each superior terminal node stores the electricity consumption data and the electricity fee data of all user terminal nodes and/or superior terminal nodes connected with the user terminal node.
Preferably, each user terminal node stores a power consumption prediction function and an electric charge prediction function for the user terminal node, and the power consumption prediction function and the electric charge prediction function of the user terminal node are obtained by fitting historical power consumption data and historical electric charge data; each upper terminal node stores a power consumption prediction function and an electric charge prediction function for all user terminal nodes and/or upper terminal nodes connected with the upper terminal node, the power consumption prediction function and the electric charge prediction function of the upper terminal node are obtained by weighting and summing the power consumption prediction function and the electric charge prediction function of all user terminal nodes and/or upper terminal nodes connected with the upper terminal node, and the weighted weight value is in direct proportion to the data authenticity index and the power consumption of the user terminal node and/or the upper terminal node.
In the step D, the tracing error correction module traverses each upper terminal node by adopting a periodic inspection mode, when the deviation between the predicted data calculated by using the electricity consumption prediction function or the electricity charge prediction function of the upper terminal node and the actual data is greater than the early warning threshold, marks the upper terminal node as an abnormal upper terminal node, performs prediction calculation by using the electricity consumption prediction function or the electricity charge prediction function of other upper terminal nodes connected with the abnormal upper terminal node, and then judges whether the deviation between the predicted data and the actual data is greater than the early warning threshold again until the deviation between the predicted data and the actual data of the newly used upper terminal node is less than or equal to the early warning threshold; and correcting the power consumption data and the electricity charge data in the user terminal nodes connected with all the abnormal superior terminal nodes.
Preferably, when the power consumption data and the electricity charge data are corrected,
firstly, comparing a power consumption prediction function and an electric charge prediction function obtained by calendar fitting, if the linearity of the power consumption prediction function or the electric charge prediction function obtained by calendar fitting is lower than an early warning threshold, manually checking power consumption data and electric charge data of corresponding user terminal nodes, and performing equipment calibration and data correction when errors are found in the data;
and predicting the power consumption data and the electric charge data of the corresponding user terminal nodes by using the current power consumption prediction function and the electric charge prediction function, continuously monitoring the actual power consumption data and the electric charge data, manually checking the power consumption data and the electric charge data of the corresponding user terminal nodes if the deviation between the prediction result and the actual monitoring result is greater than an early warning threshold value, and performing equipment calibration and data correction when errors are found in the data.
Preferably, when the equipment calibration and the data are more correct, extracting a characteristic data set of the power consumption data and the electric charge data of the corresponding user terminal node, and storing the characteristic data set in a database module to form a characteristic data blacklist; and when traversing each superior terminal node by adopting a periodic inspection mode, the tracing error correction module compares the characteristic data blacklist with the data newly stored in the database module, and if the comparison accords with the characteristic data in the characteristic data blacklist, the tracing error correction module directly corrects the power consumption data and the electric charge data of the corresponding user terminal node.
The beneficial effects brought by adopting the technical scheme are as follows: the invention has high tracing error correction efficiency for electric charge accounting, small manual workload and flexible adaptation to different electric charge accounting systems.
Drawings
FIG. 1 is a system schematic diagram of one embodiment of the present invention.
Detailed Description
Referring to fig. 1, one embodiment of the present invention includes,
the electricity consumption acquisition module 1 is used for acquiring electricity consumption of a user terminal;
the user electricity charge accounting module 2 is used for accounting the electricity charge of each user terminal;
the database module 3 is used for storing the electricity consumption and the electricity fee of the user terminal;
and the traceability error correction module 4 is used for carrying out traceability error correction on the electric charge and electric quantity data stored in the database module 3.
The tracing error correction method of the tracing error correction system for the electric charge accounting service and the data problem comprises the following steps:
A. the electricity consumption acquisition module 1 acquires electricity consumption of a user terminal and sends electricity consumption data of the user terminal to the user electricity charge accounting module 2;
B. the user electricity charge accounting module 2 accounts for the electricity charge of each user terminal;
C. the power consumption acquisition module 1 and the user electricity fee accounting module 2 respectively send the power consumption data of the user terminal and the corresponding electricity fee data to the database module 3 for storage;
establishing a tree topology structure in a database module 3, wherein each user terminal and each upper terminal are used as nodes of the tree topology structure, each upper terminal node is at least connected with one user terminal node or one upper terminal node, and each user terminal node is uniquely connected with one upper terminal node; each user terminal node stores the electricity consumption data and the electricity charge data of the corresponding user terminal, and each upper terminal node stores the electricity consumption data and the electricity charge data of all user terminal nodes and/or upper terminal nodes connected with the upper terminal node;
each user terminal node stores a power consumption prediction function and an electric charge prediction function aiming at the user terminal node, and the power consumption prediction function and the electric charge prediction function of the user terminal node are obtained by fitting according to historical power consumption data and historical electric charge data; each upper terminal node stores a power consumption prediction function and an electric charge prediction function for all user terminal nodes and/or upper terminal nodes connected with the upper terminal node, the power consumption prediction function and the electric charge prediction function of the upper terminal node are obtained by weighting and summing the power consumption prediction function and the electric charge prediction function of all user terminal nodes and/or upper terminal nodes connected with the upper terminal node, and the weighted weight value is in direct proportion to the data authenticity index and the power consumption of the user terminal node and/or the upper terminal node;
D. the traceability error correction module 4 performs traceability error correction on the electric charge and electric quantity data stored in the database module 3;
the tracing error correction module 4 traverses each upper terminal node in a periodic inspection mode, when the deviation between the predicted data calculated by using the electricity consumption prediction function or the electricity charge prediction function of the upper terminal node and the actual data is larger than an early warning threshold value, marks the upper terminal node as an abnormal upper terminal node, performs prediction calculation by using the electricity consumption prediction function or the electricity charge prediction function of other upper terminal nodes connected with the abnormal upper terminal node, and then judges whether the deviation between the predicted data and the actual data is larger than the early warning threshold value again until the deviation between the predicted data and the actual data of the newly used upper terminal node is smaller than or equal to the early warning threshold value; correcting the power consumption data and the electricity charge data in the user terminal nodes connected with all abnormal superior terminal nodes;
when the power consumption data and the electricity fee data are error-corrected,
firstly, comparing a power consumption prediction function and an electric charge prediction function obtained by calendar fitting, if the linearity of the power consumption prediction function or the electric charge prediction function obtained by calendar fitting is lower than an early warning threshold, manually checking power consumption data and electric charge data of corresponding user terminal nodes, and performing equipment calibration and data correction when errors are found in the data;
then predicting the power consumption data and the electric charge data of the corresponding user terminal nodes by using the current power consumption prediction function and the electric charge prediction function, continuously monitoring the actual power consumption data and the electric charge data, manually checking the power consumption data and the electric charge data of the corresponding user terminal nodes if the deviation between the prediction result and the actual monitoring result is larger than an early warning threshold value, and carrying out equipment calibration and data correction when errors are found in the data;
when the equipment calibration and the data are more correct, extracting a characteristic data set of the power consumption data and the electric charge data of the corresponding user terminal node, and storing the characteristic data set in a database module 3 to form a characteristic data blacklist; and when the tracing error correction module 4 traverses each superior terminal node in a periodical inspection mode, comparing the characteristic data blacklist with the data newly stored in the database module 3, and if the comparison accords with the characteristic data in the characteristic data blacklist, the tracing error correction module 4 directly corrects the power consumption data and the electric charge data of the corresponding user terminal node.
Aiming at the characteristic of large electric charge accounting data, the invention changes the mode of directly screening the electric charge accounting data in the prior art. The invention establishes a tree topology structure of each user node, then fits a corresponding electricity consumption prediction function and an electricity charge prediction function to each user node, and then accurately locates the accounting abnormal region by using the prediction result of the prediction function. And then analyzing the linearity of the power consumption prediction function and the power charge prediction function which are fitted in the past in a positioning area, comparing the deviation of the prediction result obtained by the prediction function from actual data, and accurately positioning the accounting abnormal node. After the abnormal node is checked, the device calibration and data correction are carried out on the specific abnormal node in an artificial check mode. Meanwhile, the feature data blacklist is established by using the data of the abnormal nodes while the artificial check is carried out, so that the data newly stored in the database module 3 can be subjected to prepositive comparison, and the discovery and positioning efficiency of the abnormal nodes is further improved. The invention adopts the mode of automatic positioning and artificial checking to carry out the tracing error correction, and has high efficiency and low manual workload.
The foregoing has shown and described the basic principles and main features of the present invention and the advantages of the present invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and that the above embodiments and descriptions are merely illustrative of the principles of the present invention, and various changes and modifications may be made without departing from the spirit and scope of the invention, which is defined in the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (7)
1. An electric charge accounting service and data problem traceability error correction system is characterized in that: comprising the steps of (a) a step of,
the electricity consumption acquisition module (1) is used for acquiring electricity consumption of the user terminal;
the user electricity charge accounting module (2) is used for accounting the electricity charge of each user terminal;
the database module (3) is used for storing the electricity consumption and the electricity fee of the user terminal;
and the traceability error correction module (4) is used for carrying out traceability error correction on the electric charge and electric quantity data stored in the database module (3).
2. The traceability and correction method of the electric charge accounting service and data problem traceability and correction system as claimed in claim 1, characterized by comprising the following steps:
A. the power consumption acquisition module (1) acquires the power consumption of the user terminal and sends the power consumption data of the user terminal to the user electricity charge accounting module (2);
B. the user electricity charge accounting module (2) accounts for the electricity charge of each user terminal;
C. the power consumption acquisition module (1) and the user electricity fee accounting module (2) respectively send the power consumption data of the user terminal and the corresponding electricity fee data to the database module (3) for storage;
D. and the traceability error correction module (4) performs traceability error correction on the electric charge and electric quantity data stored in the database module (3).
3. The traceability and correction method of the electric charge accounting service and data problem traceability and correction system according to claim 2, wherein the method is characterized by comprising the following steps: in the step C, a tree topology structure is established in a database module (3), each user terminal and each upper terminal are used as nodes of the tree topology structure, each upper terminal node is at least connected with one user terminal node or one upper terminal node, and each user terminal node is uniquely connected with one upper terminal node; each user terminal node stores the electricity consumption data and the electricity fee data of the corresponding user terminal, and each superior terminal node stores the electricity consumption data and the electricity fee data of all user terminal nodes and/or superior terminal nodes connected with the user terminal node.
4. The power fee accounting service and data problem traceability error correction system traceability error correction method according to claim 3, wherein the method is characterized in that: each user terminal node stores a power consumption prediction function and an electric charge prediction function aiming at the user terminal node, and the power consumption prediction function and the electric charge prediction function of the user terminal node are obtained by fitting according to historical power consumption data and historical electric charge data; each upper terminal node stores a power consumption prediction function and an electric charge prediction function for all user terminal nodes and/or upper terminal nodes connected with the upper terminal node, the power consumption prediction function and the electric charge prediction function of the upper terminal node are obtained by weighting and summing the power consumption prediction function and the electric charge prediction function of all user terminal nodes and/or upper terminal nodes connected with the upper terminal node, and the weighted weight value is in direct proportion to the data authenticity index and the power consumption of the user terminal node and/or the upper terminal node.
5. The traceability and correction method of the traceability and correction system for electric charge accounting service and data problems according to claim 4, wherein the method is characterized by comprising the following steps: in the step D, the tracing error correction module (4) traverses each upper-level terminal node in a periodical inspection mode, when the deviation between the predicted data calculated by using the electricity consumption prediction function or the electricity charge prediction function of the upper-level terminal node and the actual data is larger than an early warning threshold value, the upper-level terminal node is marked as an abnormal upper-level terminal node, the electricity consumption prediction function or the electricity charge prediction function of other upper-level terminal nodes connected with the abnormal upper-level terminal node is used for carrying out prediction calculation, and then whether the deviation between the predicted data and the actual data is larger than the early warning threshold value is judged again until the deviation between the predicted data and the actual data of the newly used upper-level terminal node is smaller than or equal to the early warning threshold value; and correcting the power consumption data and the electricity charge data in the user terminal nodes connected with all the abnormal superior terminal nodes.
6. The traceability and correction method of the electric charge accounting service and data problem traceability and correction system according to claim 5, wherein the method is characterized by comprising the following steps: when the power consumption data and the electricity fee data are error-corrected,
firstly, comparing a power consumption prediction function and an electric charge prediction function obtained by calendar fitting, if the linearity of the power consumption prediction function or the electric charge prediction function obtained by calendar fitting is lower than an early warning threshold, manually checking power consumption data and electric charge data of corresponding user terminal nodes, and performing equipment calibration and data correction when errors are found in the data;
and predicting the power consumption data and the electric charge data of the corresponding user terminal nodes by using the current power consumption prediction function and the electric charge prediction function, continuously monitoring the actual power consumption data and the electric charge data, manually checking the power consumption data and the electric charge data of the corresponding user terminal nodes if the deviation between the prediction result and the actual monitoring result is greater than an early warning threshold value, and performing equipment calibration and data correction when errors are found in the data.
7. The traceability and correction method of the traceability and correction system for electric charge accounting service and data problems according to claim 6, wherein the method is characterized by comprising the following steps: when the equipment calibration and the data are more correct, extracting a characteristic data set of the power consumption data and the electric charge data of the corresponding user terminal node, and storing the characteristic data set in a database module (3) to form a characteristic data blacklist; and when the tracing error correction module (4) traverses each superior terminal node in a periodical inspection mode, the characteristic data blacklist is used for comparing with the data newly stored in the database module (3), and if the comparison accords with the characteristic data in the characteristic data blacklist, the tracing error correction module (4) directly corrects the power consumption data and the electric charge data of the corresponding user terminal node.
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