CN110866035A - Method and system for detecting abnormal electricity quantity and electricity charge - Google Patents
Method and system for detecting abnormal electricity quantity and electricity charge Download PDFInfo
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- CN110866035A CN110866035A CN201911053766.5A CN201911053766A CN110866035A CN 110866035 A CN110866035 A CN 110866035A CN 201911053766 A CN201911053766 A CN 201911053766A CN 110866035 A CN110866035 A CN 110866035A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2453—Query optimisation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2455—Query execution
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
Abstract
A method and a system for detecting abnormal electricity and electricity charges are provided, users are classified in advance according to metering point structures, and corresponding auditing rules are set according to user categories, and the detection method comprises the following steps: 1) calculating the electric quantity and the electric charge of each user; 2) according to the user category, performing checking rule verification based on SQL query to generate an abnormal information table, and inserting main abnormal information of a query result into the abnormal information table; 3) judging whether a user exists in the abnormal information table or not, if so, intercepting the electric quantity and the electric charge of the user, switching to manual review and prompting violated review rules and abnormal information; if not, the electricity quantity and the electricity charge of the user are automatically issued. The method and the system can improve the interception precision, reduce unnecessary manual review resource investment, realize high automation of intelligent checking and greatly reduce the manual review resource investment of the accounting.
Description
Technical Field
The invention relates to the technical field of electric charge accounting, in particular to a method and a system for detecting abnormal electric quantity and electric charge.
Background
The electric charge accounting work is taken as a core component in the electric charge management, the quality of the accounting work can directly influence the normal operation of the electric marketing business of the power supply department, and the electric charge accounting work also has important influence and significance on the sustainable development of the electric power enterprise. Although the modern application system is adopted by the power supply department at present, the efficiency and the quality of the electricity charge accounting work are effectively improved.
The current working situation of the electric charge accounting is that a power supply department and an electric charge department, and the electric charge accounting staff is responsible for carrying out centralized calculation, auditing, electric charge issuing and reporting of relevant electric charge accounts. The electricity fee calculation system is realized by a computer, but calculation errors in the aspect of electricity fee can be found only by auditing by an accountant, and the current electricity fee calculation system influences the efficiency of electricity fee accounting of the accountant.
In the prior art, an "expression" check mode is adopted, each audit rule of the system independently generates each audit element field object, expression logic judgment is carried out on the audit elements, the judgment result is yes and no, and abnormal sample interception is carried out if the judgment result is yes. By adopting the method, only simple logic judgment can be supported, if optimization and adjustment are required regularly, re-development is required, the development period is generally three months, and great inconvenience is caused.
Disclosure of Invention
The invention mainly aims to overcome the defects in the prior art and provides a method and a system for detecting abnormal electricity charges, which are one-strategy and modularized, improve interception fine filtration and reduce the input of worker resources.
The invention adopts the following technical scheme:
the method for detecting the abnormal electricity quantity and electricity charge is characterized in that users are classified in advance according to metering point structures, and corresponding auditing rules are set according to user categories, and the detection method comprises the following steps:
1) calculating the electric quantity and the electric charge of each user;
2) according to the user category, performing checking rule verification based on SQL query to generate an abnormal information table, and inserting main abnormal information of a query result into the abnormal information table;
3) judging whether a user exists in the abnormal information table or not, if so, intercepting the electric quantity and the electric charge of the user, switching to manual review and prompting violated review rules and abnormal information; if not, the electricity quantity and the electricity charge of the user are automatically issued.
Preferably, the user category comprises a high-pressure single metering point, a high-pressure parallel primary metering point, a high-pressure complex metering structure and a low-pressure category.
Preferably, the user of the high-voltage single metering point executes the basic package auditing rule; and the high-voltage parallel primary metering point or the high-voltage complex metering structure or the low-voltage class user executes a basic package auditing rule and an exclusive package auditing rule.
Preferably, each audit rule corresponds to an SQL query, and the condition screening and the logic judgment corresponding to the audit rule are directly completed in the SQL query.
Preferably, in step 2), a temporary table of corresponding audit rules is formed first from the results of the SQL query, and then the user number, rule name, verification time, and exception remark information in the temporary table are inserted into the exception information table.
Preferably, the audit rule includes static file type exception, which is used to implement the audit of the comparison exception between the user various types of static file exception and the static file information.
Preferably, the audit rule includes a business expansion change exception, which is used to implement the audit of the change process exception.
Preferably, the auditing rule comprises meter reading indication type abnormity, and is used for checking and intercepting meter reading electric quantity and indication related explicit error risks.
Preferably, the auditing rule includes an electric quantity sudden increase and decrease exception, and is used for realizing invisible risk investigation and interception of electric quantity increase and decrease exception representation.
An abnormal detection system of electric quantity and electric charge is characterized in that: comprises that
The electric quantity and electric charge calculation module is used for calculating the electric quantity and electric charge of the user;
the database SQL query module executes examination rule verification based on SQL query according to the user category to generate an abnormal information table and inserts the main abnormal information of the query result into the abnormal information table;
the judging module is used for judging whether the user exists in the abnormal information table or not and determining whether the user is automatically issued or not according to the judging result;
the manual auditing module is used for intercepting the electric quantity and the electric charge existing in the abnormal information table, and corresponding violated auditing rules and abnormal information for manual auditing;
and the automatic issuing module automatically issues the electric quantity and the electric charge of the user.
As can be seen from the above description of the present invention, compared with the prior art, the present invention has the following advantages:
1. the method of the invention executes the intelligent auditing method of 'one-class-one-strategy', 'program-passing' and 'modular' of electric quantity and electric charge, classifies users through the metering point structure and executes the auditing strategy of execution corresponding to the auditing rule of corresponding independent classes. The method is refined to carry out logic verification according to the metering points, different auditing rule strategies are executed for users with different metering point structures, and the problems of interception noise, misplaced interception targets and interception omission can be avoided to the maximum extent, so that the accuracy and completeness of machine auditing are greatly improved, and the controllable and controllable automatic issuing risk is ensured.
2. The method can fully utilize the characteristic of multi-table association queried by the SQL database to support more complex and fine abnormal condition judgment and retrieval, improve the accuracy of abnormal interception to the maximum extent, and achieve the objective of sample interception required by the electric charge accounting service, thereby forming the core foundation and technical guarantee for implementing the risk control of the automatic electric charge and electric charge issuance. Meanwhile, the service development cost and time are greatly reduced, dynamic optimization and adjustment of the audit rules can be completed only by optimizing and adjusting the SQL query in the process packet, and redevelopment is not needed.
Drawings
FIG. 1 is a main flow diagram of the present invention;
FIG. 2 is a flow chart of an audit rule of the present invention;
FIG. 3 is a diagram of user category and audit element relationships according to the present invention;
the invention is described in further detail below with reference to the figures and specific examples.
Detailed Description
The invention is further described below by means of specific embodiments.
Referring to fig. 1, a method for detecting abnormal electricity consumption is to classify users in advance according to a metering point structure. The metering point is a virtual entity for collecting the electricity quantity read by the electricity meter, calculating line loss electricity quantity and variable loss electricity quantity, and finally generating electricity quantity calculation for settling the electricity quantity; and each metering point executes unique electricity price, and electricity fee calculation is to finally form electricity fee through the calculation of the metering electric quantity and corresponding electricity price parameters.
Metering point electric quantity calculation mode: each metering point may be associated with a physical energy meter or no physical energy meter. The calculation mode is real reading, and the electric quantity of the metering point is calculated based on the reading electric quantity of the electric energy meter; the calculation mode is quantitative, and the electric quantity of the metering point is calculated based on the quantitative value; the calculation mode is constant ratio, and the metering point electric quantity is calculated based on the constant ratio value of the associated main meter electric quantity.
The incidence relation can be set between different metering points, including principal components, reference and the like. If the main division relationship is set, the electric quantity of the main metering point is deducted by the electric quantity of the branch metering point, and then the electric charge is calculated. If the reference relation is set, the reference metering point does not calculate the fee. And calculating the fee by referring to the metering point.
The specific metering point structure classification of the invention is as follows: if a user has only one metering point, the user is a single metering point user. If one user has a plurality of metering points and no correlation exists between the metering points, the user is a parallel metering point user. If a user has a plurality of metering points and the metering points have an association relationship, the user is a complex metering point user.
The metering point is a calculation container of a key relay for converting the electric quantity into the electric charge, and the final settlement electric quantity and the settlement electric charge are calculated through related parameters of the metering point, so that the abnormal metering charge is mainly focused on the metering point. The conventional auditing rule is mainly used for logical verification according to users, and the problems of abnormal interception noise, misplaced intercepted targets and interception omission caused by the influence of a metering point structure are not considered.
Based on the above, referring to fig. 2 and fig. 3, the present invention divides the user categories into high-voltage single metering point, high-voltage parallel primary metering point, low-voltage category, high-voltage complex metering structure, etc.
The invention relates to an intelligent checking system for electricity quantity and electricity charge, which is a 'one-class one-plan', 'program-passing' and 'modular' intelligent checking system, and is used for classifying users based on the above and executing system abnormity check of corresponding independent checking rule systems for various users. The specific method comprises the following steps:
1) and calculating the electricity quantity and the electricity charge of the user. In the invention, the calculation method of the electric quantity and the electric charge can be a conventional general calculation method. For example, a timescale including a non-timescale and a timescale that performs timescale electricity prices, the non-timescale table: the total electric charge is time-sharing peak electric charge, time-sharing valley electric charge and time-sharing average electric charge.
2) And performing checking rule verification based on SQL query according to the user category to generate an abnormal information table, and inserting the main abnormal information of the query result into the abnormal information table.
Specifically, referring to fig. 3, all the information of the user stored in the user database includes user profile information, change flow information, meter reading and number indicating information, and electric quantity increasing and decreasing information.
The user profile information comprises an electricity utilization type, a unit price type, an execution variable line loss mark, a client profile capacity, a transformer capacity, and transformer multiplying power setting and capacity; performing peak-to-valley marking and capacity; executing the electricity price category and the peak-valley mark; the type of electricity price and the basic electricity charge charging method.
The change flow information includes information such as business expansion volume reduction, suspension, recovery, change of basic electricity charge charging mode, failure of the metering device, and cycle alternation.
The information of the meter reading and the number reading comprises information of a meter reading mode, a meter reading example date change, a last meter reading year and month, a meter reading section attribute, a current meter reading date and a last meter reading date, a meter reading number, a change meter reading data, a measurement number and the like.
The electric quantity increasing and decreasing information comprises electric quantity sudden increase and decrease amount, same ratio, ring ratio, ratio and capacity increasing and decreasing flow, file capacity, innovation height, second high point and the like.
Different user categories adopt different auditing rules, which are as follows:
and the user of the high-voltage single metering point executes basic package auditing rules, wherein the basic package auditing rules comprise static archive type exception, business expansion change type exception, meter reading indication type exception, electric quantity sudden increase and decrease exception and the like.
Wherein: the static file type exception mainly focuses on comparison exceptions between various static file exceptions and static file information of a user, particularly errors which are conducted to a power charge result due to mismatching of logic relations among files and point to business, business expansion and use inspection professional errors (such as a client file power utilization type and a power price type, execution of a variable line loss mark, client file capacity and transformer capacity, transformer multiplying power setting and capacity, execution of a peak valley mark and capacity, execution of a power price type and a peak valley mark, a power price type and a basic power charge charging mode and the like) and ensures that all hooking relations of file contents, numerical values and marks influencing power charges are completely matched with audit rules, wherein the hooking relations of the file contents, the numerical values and the marks are used for realizing abnormal audit of a change flow.
The business expansion change exception mainly focuses on locking the business expansion process of the change user, and particularly business expansion business processes such as business expansion capacity reduction, suspension, recovery and basic power charge charging mode change are easy to cause power charge charging errors and electric quantity error risks such as metering device faults, periodic alternation, meter changing and virtual dismantling.
The meter reading and indicating type abnormity mainly focuses on meter reading electric quantity and explicit error risk investigation and interception related to the indicating number, and comprises logic errors of comparison of static archive information and dynamic electric quantity information, meter reading modes, meter reading example daily change, last meter reading year and month, meter reading section attributes, current and last meter reading date abnormity, discontinuous meter reading indicating number, discontinuous meter reading data change (loss), discontinuous metering indicating number and other related meter reading and metering professional errors.
The power sudden increase and decrease abnormity mainly focuses on invisible risk investigation and interception of power increase and decrease abnormity representation, and is the last protection of the three programs, and mainly comprises power sudden increase and decrease quantity, identity comparison, ring comparison, comparison with capacity increase and decrease flow, file capacity, innovation height, second high point and the like, and power abnormity needing machine learning and difficult perception of human body.
For the high-voltage parallel first-stage metering point user, besides the basic packet auditing rule, a special packet auditing rule is adopted, and in the static file exception rule, the auditing rule that a large-industry metering point is not in the first stage or other electricity price first-stage metering points exist in the first stage of the large industry, the capacity change affects the electricity price category, the power rate execution error exception, the peak-valley execution error exception, the metering point corresponding region is empty, and the like is added.
For low-voltage users, the basic package auditing rule and the exclusive package auditing rule are adopted, and the exclusive rules can be respectively added in static file class abnormity, meter reading indication class abnormity and electric quantity sudden increase class abnormity. For example, in the static class file abnormality, the force rate file abnormality is increased, and two or more execution step metering points exist; adding abnormal peak-valley electric quantity of non-resident users (capacity is compared with electric quantity), wrong peak-valley programming of non-resident and resident meter meters (no problem exists in the records and the meters are counted), wrong execution of the resident peak-valley (wrong effective time of the resident peak-valley is taken into effect \ peak-valley is not successfully executed), abnormal meter disassembly and replacement, abnormal first-order electric quantity of step electricity price users and users of the first-order meter in a third period and a second level and a second period; and in the electric quantity sudden increase type abnormity, the absolute value of the increase and decrease amount of the electric quantity is increased to be more than 13 months of electric quantity standard deviation.
For the users with complex metering structure, besides the basic packet auditing rule, the basic packet auditing rule and the exclusive packet auditing rule are adopted, and rules that the relation of metering points is 'addition' or 'subtraction', three-stage metering points exist, the metering point accounting property is abnormal, the sample days of meter reading of the transferred users are inconsistent, the transferred users are in the transferred relation according to the required quantity, the users in the three-stage and two-stage tables of the first-stage and the third-stage tables of the second-stage tables, the sample days of meter reading of the shared special variable users are inconsistent with the corresponding regions of the first-stage tables, the sample days of meter reading of the shared special variable users are abnormal, the deduction sequence of the main tables is abnormal and the like can be added in the abnormal rules of static files.
The exclusive packet rule is not limited to this, and may be set according to the specific and actual requirements of the user category.
In this step, each audit rule corresponds to an SQL query. And the condition screening and logic judgment corresponding to the auditing rule are directly finished in the SQL query. In practical application, each accounting worksheet executes corresponding SQL query corresponding to the auditing rule during system auditing, the SQL query result forms a temporary table of the corresponding rule, and the query result includes specific abnormal information of the user. And then, inserting the main abnormal information in the temporary table which is inquired each time into the abnormal information table, wherein the main abnormal information comprises but is not limited to a user number, a rule name, verification time, abnormal remark information and the like.
3) Judging whether the information of the user exists in an abnormal information table, if so, intercepting the electricity quantity and the electricity charge, namely, checking a work order, and switching to manual checking and prompting violated checking rules and abnormal information; if not, the electricity quantity and the electricity charge of the user are automatically issued.
In practical application, for example, the user number can be used for judging, if the user number is located in the abnormal information table, the electric quantity and the electric charge of the user need to be manually checked, verified and subjected to abnormal processing, then the manual electric charge is issued, and if the user number is not located in the abnormal information table, the user number is automatically issued. The issuing refers to the settlement of the electric charge, the realization of the electric charge sales income and the generation of the receivable electric charge.
The invention also provides a system for detecting the abnormal electricity quantity and electricity charge, which adopts the method for detecting the abnormal electricity quantity and electricity charge to comprise
And the electric quantity and electric charge calculation module is used for calculating the electric quantity and electric charge of the user and automatically calculating the electric quantity and electric charge according to the information of the user.
And the database SQL query module executes examination rule verification based on SQL query according to the user category to generate an abnormal information table and inserts the main abnormal information of the query result into the abnormal information table.
And the judging module is used for judging whether the user exists in the abnormal information table or not and determining whether the user is automatically issued or not according to the judging result.
And the manual auditing module is used for intercepting the accounting work order, namely the electric quantity and the electric charge of the user existing in the abnormal information table, and correspondingly violating auditing rules and abnormal information for manual auditing.
And the automatic issuing module is used for automatically issuing the electric quantity and the electric charge of the user which are not intercepted by the abnormal information table.
The method and the system of the invention are characterized in that in the intelligent auditing of the electric quantity and the electric charge, the sample is totally distinguished to form 'class' according to the combination of different metering point structures and different electric price classes of the audited sample, and a set of auditing rules with 'procedural' and 'modular' characteristics are pertinently and independently implemented on the different 'classes', so that the overall essential point overall process auditing effect of 'manual user-by-user auditing' of machine simulation is realized.
The invention furthest plays the role of machine symbol intelligence, improves the interception precision, reduces meaningless manual audit resource investment, realizes high automation of intelligent checking and checking, and greatly reduces the manual audit resource investment of accounting.
The above description is only an embodiment of the present invention, but the design concept of the present invention is not limited thereto, and any insubstantial modifications made by using the design concept should fall within the scope of infringing the present invention.
Claims (10)
1. The method for detecting the abnormal electricity quantity and electricity charge is characterized in that users are classified in advance according to metering point structures, and corresponding auditing rules are set according to user categories, and the detection method comprises the following steps:
1) calculating the electric quantity and the electric charge of each user;
2) according to the user category, performing checking rule verification based on SQL query to generate an abnormal information table, and inserting main abnormal information of a query result into the abnormal information table;
3) judging whether a user exists in the abnormal information table or not, if so, intercepting the electric quantity and the electric charge of the user, switching to manual review and prompting violated review rules and abnormal information; if not, the electricity quantity and the electricity charge of the user are automatically issued.
2. The method as claimed in claim 1, wherein the method comprises the following steps: the user category comprises a high-voltage single metering point, a high-voltage parallel primary metering point, a high-voltage complex metering structure and a low-voltage category.
3. The method as claimed in claim 2, wherein the method comprises the following steps: the user of the high-voltage single metering point executes a basic package auditing rule; and the high-voltage parallel primary metering point or the high-voltage complex metering structure or the low-voltage class user executes a basic package auditing rule and an exclusive package auditing rule.
4. The method as claimed in claim 1, wherein the method comprises the following steps: and each audit rule corresponds to one SQL query, and the condition screening and the logic judgment corresponding to the audit rule are directly finished in the SQL query.
5. The method as claimed in claim 1, wherein the method comprises the following steps: in step 2), a temporary table of corresponding auditing rules is formed firstly according to the result of the SQL query, and then the user number, the rule name, the verification time and the abnormal remark information in the temporary table are inserted into the abnormal information table.
6. The method as claimed in claim 1, wherein the method comprises the following steps: the auditing rule comprises static file exception and is used for auditing comparison exception between various static file exceptions and static file information of the user.
7. The method as claimed in claim 1, wherein the method comprises the following steps: the auditing rule comprises business expansion change exception which is used for auditing change process exception.
8. The method as claimed in claim 1, wherein the method comprises the following steps: the auditing rule comprises meter reading and number indicating type abnormity and is used for realizing the examination and interception of the meter reading electric quantity and the number indicating related dominant error risks.
9. The method as claimed in claim 1, wherein the method comprises the following steps: the auditing rule comprises electric quantity sudden increase and decrease abnormity and is used for realizing invisible risk investigation and interception of electric quantity increase and decrease abnormity representation.
10. An abnormal detection system of electric quantity and electric charge is characterized in that: comprises that
The electric quantity and electric charge calculation module is used for calculating the electric quantity and electric charge of the user;
the database SQL query module executes examination rule verification based on SQL query according to the user category to generate an abnormal information table and inserts the main abnormal information of the query result into the abnormal information table;
the judging module is used for judging whether the user exists in the abnormal information table or not and determining whether the user is automatically issued or not according to the judging result;
the manual auditing module is used for intercepting the electric quantity and the electric charge existing in the abnormal information table, and corresponding violated auditing rules and abnormal information for manual auditing;
and the automatic issuing module automatically issues the electric quantity and the electric charge of the user.
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| CN115099650A (en) * | 2022-07-01 | 2022-09-23 | 国网江苏省电力有限公司镇江供电分公司 | Meter reading error monitoring method and system based on meter reading error risk model |
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