CN113743894A - Method and system for establishing rechecking rule model for rechecking electric bill - Google Patents
Method and system for establishing rechecking rule model for rechecking electric bill Download PDFInfo
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Abstract
The invention provides a method and a system for establishing a rechecking rule model for rechecking an electric charge bill, which comprises the following steps of S1, obtaining the electric charge bill of an electric power user, and carrying out accounting on the electric charge bill of the electric power user through a preset accounting rule to obtain corresponding abnormal distribution data, accounting data and forward-flushing and backward-supplementing data; step S2, identifying exemption accounting items in the preset accounting rules corresponding to the abnormal distribution data; step S3, verifying the accounting data and the expected effect data to obtain verification data of an accounting item; step S4, acquiring accounting item data, user files and metering files according to the positive and negative compensation data; and step S5, inputting a preset intelligent rechecking rule engine model to obtain a rechecking rule model. The invention reduces the electric charge bill which does not need to be rechecked by the local area when being triggered, increases the probability of capturing abnormal bill data which can cause the positive charge and the negative charge, and improves the accuracy rate and the working efficiency of the electric charge accounting.
Description
Technical Field
The invention relates to the technical field of power system automation, in particular to a method and a system for establishing a rechecking rule model for rechecking an electric bill.
Background
The electricity charge accounting is an important link of marketing checking and receiving business, the current electricity charge abnormity checking rule of the marketing system is mainly subjective planning obtained by experience, and the current electricity charge abnormity checking rule is a single-effect rule, namely, one rule can only find one type of abnormity, and the setting of the rule is too rigid, so that comprehensive analysis and judgment can not be carried out according to actual business conditions. Some data which can be screened by the composite rule and does not need to be manually checked also enter a link of centralized abnormal distribution, and the workload of manual checking is increased. Meanwhile, other electric charge bills with accounting risks are directly issued because the bills are not checked by a single rule, so that complaints of the users are caused after the bills are found by the users. The existing checking work based on the electric charge checking and rechecking rule has the problems of low efficiency and poor accuracy.
Disclosure of Invention
The invention aims to provide a method for establishing a rechecking rule model for rechecking an electric bill, and solves the technical problems of low efficiency and poor accuracy of the conventional method.
In one aspect, a method for establishing a review rule model for reviewing an electric bill is provided, which includes the following steps:
step S1, acquiring an electric bill of the power consumer, and accounting the electric bill of the power consumer according to a preset accounting rule to obtain corresponding abnormal distribution data, accounting data and forward/backward compensation data;
step S2, identifying exemption accounting items in the preset accounting rules corresponding to the abnormal distribution data;
step S3, obtaining expected effect data corresponding to a preset accounting rule, verifying the accounting data and the expected effect data, and determining whether each accounting item in the accounting data meets the expected effect according to a verification result to obtain verification data of the accounting item;
step S4, acquiring accounting item data triggered in the electric charge calculation process according to the positive and negative compensation data, and acquiring a user file and a metering file called in the electric charge calculation process;
and step S5, inputting the exemption condition item, the accounting item data, the user file, the billing file and the check data of the accounting item as input items into a preset intelligent rechecking rule engine model to obtain a rechecking rule model.
Preferably, in step S1, the obtaining corresponding abnormal distribution data includes:
and acquiring an accounting item in the preset accounting rule triggered by the electric bill, judging whether the accounting item is related to other services, should not trigger accounting and needs manual review, and if the accounting item is related to other services, should not trigger accounting and needs manual review, judging that the accounting item is abnormal distribution data.
Preferably, in step S1, the obtaining corresponding positive-going backoff data includes:
judging whether the electric bill of the power consumer is a bill which is issued with the electric charge and has the electric charge error, if so, identifying electric charge error data, and offsetting and recalculating the electric charge of the electric bill according to the electric charge error data to obtain a correct electric bill;
and outputting the electric charge error data, the offset calculation charge data, the recalculated electric charge data and the correct electric charge bill as the forward-offset and backward-offset data.
Preferably, the step S2 includes:
identifying abnormal distribution data needing manual review to obtain all triggered accounting items;
identifying abnormal distribution data in a direct distribution or to-be-distributed state in the abnormal distribution data;
and screening the accounting items corresponding to the abnormal distribution data in the state of direct distribution or to-be-distributed from all the triggered accounting items, and determining exemption accounting items existing in the abnormal distribution data according to a screening result.
Preferably, the step S3 includes:
when the accounting data corresponding to the accounting item accords with the corresponding expected effect, judging that the accounting item meets the expected effect, and outputting the check data of the accounting item to be normal;
and when the accounting data corresponding to the accounting item does not accord with the corresponding expected effect, judging that the accounting item does not meet the expected effect, and outputting the check data of the accounting item as abnormal.
Preferably, the step S5 includes:
the preset intelligent rechecking rule engine model identifies the input exemption condition item, the accounting item data, the user file, the charging file and the check data of the accounting item through a preset semantic module, and associates according to an identified semantic result to obtain association relation data;
arranging and combining or independently combining the associated exemption condition items, the accounting item data, the user file, the charging file and the checking data of the accounting items according to the association relation data to obtain a re-accounting item;
and outputting all the rechecking calculation items as a rechecking rule model.
On the other hand, a system for establishing a rechecking rule model for rechecking an electric bill is further provided, so as to implement the method for establishing the rechecking rule model for rechecking the electric bill, including:
the first acquisition module is used for acquiring the electric charge bill of the power consumer and accounting the electric charge bill of the power consumer according to a preset accounting rule to obtain corresponding abnormal distribution data, accounting data and forward-buffering and backward-supplementing data;
the second acquisition module is used for identifying exemption accounting items in the preset accounting rules corresponding to the abnormal distribution data;
the third acquisition module is used for acquiring expected effect data corresponding to a preset accounting rule, verifying the accounting data and the expected effect data, and determining whether each accounting item in the accounting data meets the expected effect according to a verification result to obtain verification data of the accounting item;
the fourth acquisition module is used for acquiring accounting item data triggered in the electric charge calculation process according to the positive and negative compensation data, and acquiring a user file and a metering file called in the electric charge calculation process;
and the model acquisition module is used for inputting the exemption condition item, the accounting item data, the user file, the charging file and the check data of the accounting item as input items into a preset intelligent rechecking rule engine model to obtain a rechecking rule model.
Preferably, the first obtaining module is further configured to obtain an accounting item in the preset accounting rule triggered by the electric bill, determine whether the accounting item is related to other services, should not trigger accounting, and needs manual review, and if the accounting item is related to other services, should not trigger accounting, and needs manual review, determine that the accounting item is abnormal distribution data;
and the electric bill is used for judging whether the electric bill of the power consumer is the bill which is issued by the electric charge and has the electric charge error, if the electric bill is the bill which is issued by the electric charge and has the electric charge error, identifying the electric charge error data, and offsetting and calculating the electric charge of the electric bill and recalculating the electric charge according to the electric charge error data to obtain the correct electric bill; and outputting the electric charge error data, the offset calculation charge data, the recalculated electric charge data and the correct electric charge bill as the forward-offset and backward-offset data.
Preferably, the second obtaining module is further configured to identify abnormal distribution data that needs to be manually reviewed, and obtain all triggered accounting items;
identifying abnormal distribution data in a direct distribution or to-be-distributed state in the abnormal distribution data;
and screening the accounting items corresponding to the abnormal distribution data in the state of direct distribution or to-be-distributed from all the triggered accounting items, and determining exemption accounting items existing in the abnormal distribution data according to a screening result.
Preferably, the model obtaining module is further configured to identify, by the preset intelligent rechecking rule engine model, the exempting condition item, the accounting item data, the user profile, the billing profile, and the check data of the accounting item that are input through a preset semantic module, and perform association according to an identified semantic result to obtain association relationship data;
arranging and combining or independently combining the associated exemption condition items, the accounting item data, the user file, the charging file and the checking data of the accounting items according to the association relation data to obtain a re-accounting item;
and outputting all the rechecking calculation items as a rechecking rule model.
In summary, the embodiment of the invention has the following beneficial effects:
the method and the system for establishing the rechecking rule model for rechecking the electric bill provided by the invention have the advantages that various rechecking rules are arranged and combined through the intelligent rechecking rule engine model to recheck the data again, the human reasoning mode is simulated, and the reasoning is carried out by using a tentative method; the new rechecking rule model is generated by inputting the rule (single electric charge accounting rule) and the related data (the electric quantity and the electric charge related data of the user) into the model, so that the electric charge bill which does not need to be rechecked in a district is reduced, the probability of capturing the data which can cause the abnormal bill to be filled forward or backward is increased, and the accuracy and the working efficiency of the electric charge accounting are improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is within the scope of the present invention for those skilled in the art to obtain other drawings based on the drawings without inventive exercise.
Fig. 1 is a main flow diagram of a method for establishing a review rule model for reviewing an electric bill according to an embodiment of the present invention.
Fig. 2 is a schematic diagram of a system for establishing a review rule model for reviewing an electric bill according to an embodiment 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 will be described in further detail with reference to the accompanying drawings.
Fig. 1 is a schematic diagram illustrating an embodiment of a method for establishing a review rule model for reviewing an electric bill according to the present invention. In this embodiment, the method comprises the steps of:
step S1, acquiring an electric bill of the power consumer, and accounting the electric bill of the power consumer according to a preset accounting rule to obtain corresponding abnormal distribution data, accounting data and forward/backward compensation data; it can be understood that the electric charge bill is taken as a main body, the data which triggers the accounting rule and needs to be intensively and abnormally distributed is obtained from the marketing system, the existing accounting rule data is obtained, and the forward-charging and backward-charging data is obtained.
In a specific embodiment, obtaining the corresponding abnormal distribution data includes: and acquiring an accounting item in the preset accounting rule triggered by the electric bill, judging whether the accounting item is related to other services, should not trigger accounting and needs manual review, and if the accounting item is related to other services, should not trigger accounting and needs manual review, judging that the accounting item is abnormal distribution data. It will be appreciated that analysis of the data distributed on a monthly basis for anomalies that trigger accounting rules identifies data that triggered accounting rules but in fact should not trigger accounting rules due to other business facts and require manual review. For example: according to the fact that the calendar is suspended for more than 180 days in the calendar year in the electricity charge accounting process, the full basic electricity charge needs to be paid in a supplementing mode, users with generated supplementing capacity are actually screened, and the users with the supplementing capacity but without the supplementing capacity are mainly concerned. And (3) analyzing the pause record of the 'supplementary receiving capacity maintenance' at the end of a normal 6 months to confirm that no recording problem exists, if the pause record of a vacuum period of about one month cannot be synchronized to the 'supplementary receiving capacity maintenance' and the later-stage brushing record logic has problems, clearing partial abnormity through preliminary verification, and correspondingly triggering the rule user to still perform full distribution in the last two periods, so that the distributed data at the moment are abnormal.
More specifically, obtaining the corresponding positive-going backoff data includes: judging whether the electric bill of the power consumer is a bill which is issued with the electric charge and has the electric charge error, if so, identifying electric charge error data, and offsetting and recalculating the electric charge of the electric bill according to the electric charge error data to obtain a correct electric bill; and outputting the electric charge error data, the offset calculation charge data, the recalculated electric charge data and the correct electric charge bill as the forward-offset and backward-offset data. It can be understood that the forward charging and the backward charging refer to the processes of charging and canceling the charging result and recalculating the electric charge for the bill which has completed the electric charge issuance and has the electric charge error, and charging or returning the charge for the client according to the correct bill, and the forward charging and the backward charging data can be directly identified through the data identification.
Step S2, identifying exemption accounting items in the preset accounting rules corresponding to the abnormal distribution data; it can be understood that the centralized abnormal distribution data which needs to be manually reviewed is analyzed, the data which is directly issued or to be issued after manual review is analyzed, and exempting conditions or rules existing in the accounting rules triggered by the data are identified.
In the specific embodiment, abnormal distribution data needing manual review is identified to obtain all triggered accounting items; identifying abnormal distribution data in a direct distribution or to-be-distributed state in the abnormal distribution data; and screening the accounting items corresponding to the abnormal distribution data in the state of direct distribution or to-be-distributed from all the triggered accounting items, and determining exemption accounting items existing in the abnormal distribution data according to a screening result.
Step S3, obtaining expected effect data corresponding to a preset accounting rule, verifying the accounting data and the expected effect data, and determining whether each accounting item in the accounting data meets the expected effect according to a verification result to obtain verification data of the accounting item; it will be appreciated that existing accounting rules need to be analyzed to identify the associations between rules and the data that is triggered a large number of times but does not require local rechecks.
In a specific embodiment, when the accounting data corresponding to the accounting item conforms to the corresponding expected effect, the accounting item is judged to meet the expected effect, and the check data of the accounting item is output to be normal; and when the accounting data corresponding to the accounting item does not accord with the corresponding expected effect, judging that the accounting item does not meet the expected effect, and outputting the check data of the accounting item as abnormal. For example: the quantitative users are screened out, due to the charging particularity of the quantitative users, each charging is carried out according to a set quantitative value (irrelevant to the meter reading period), the current meter reading period is mostly 'once-per-month meter reading', whether the charging exists in the last charging period of the users can be compared, if no charging exists, the regional recheck is not needed, and the data belong to abnormal data.
Step S4, acquiring accounting item data triggered in the electric charge calculation process according to the positive and negative compensation data, and acquiring a user file and a metering file called in the electric charge calculation process; it is understood that the cause of the overshoot and backoff may be caused by the omission of the accounting rules. The specific reasons can be determined by identifying the electric charge error data, the charging and canceling calculation charge data, the recalculating electric charge data and the correct electric charge bill in the charging and returning data, and the specific reasons and the data are associated with the accounting rules through subsequent steps, so that the charging and returning caused by the same reasons can be identified in time in the subsequent accounting process, and the identification efficiency is improved.
And step S5, inputting the exemption condition item, the accounting item data, the user file, the billing file and the check data of the accounting item as input items into a preset intelligent rechecking rule engine model to obtain a rechecking rule model. It can be understood that the summary set associates the abnormal distribution data, the accounting rules and the positive and negative compensation data, and a new electric charge checking composite rule (rechecking rule model) can be established according to the association result; the association process establishes a rechecking rule model by inputting the data into an intelligent rechecking rule engine model.
In a specific embodiment, the preset intelligent rechecking rule engine model identifies the input exemption condition item, the accounting item data, the user file, the charging file and the check data of the accounting item through a preset semantic module, and associates according to an identified semantic result to obtain association relation data; arranging and combining or independently combining the associated exemption condition items, the accounting item data, the user file, the charging file and the checking data of the accounting items according to the association relation data to obtain a re-accounting item; and outputting all the rechecking calculation items as a rechecking rule model. It can be understood that the summary set distributes data in abnormal mode, calculates rules and compensates data in forward and backward mode, and combs out rules which eliminate abnormal mode or need to be checked in various abnormal conditions. For example, the transformer change rules such as "first charging after recovery (non-periodic charging link exists) filing", "first charging after increasing (decreasing) capacity (non-periodic charging link exists) filing", "first charging after non-permanent decreasing capacity (non-periodic charging link exists) filing", "first charging after suspending (non-periodic charging link exists) filing" are comprehensively triggered, and if synchronous triggering is performed, distribution is not performed. The rule is triggered independently, and the condition that whether the charging in the previous period or the charging in the current period is inconsistent in the transformer section or period can be checked one by one, and the distribution can be avoided when the condition is met. Part of the metering points exist with a large number of high-demand subsection relations, the basic electricity charge sharing mark of the metering points is 'according to the electricity quantity proportion' or is empty, so that the sharing charging capacities of the metering points are different every month, if the total charging capacity is consistent, the metering points can not be distributed, the metering points can be set in subsequent specification files, and the method is used as a complete rechecking rule; the repeating operation establishes a plurality of rechecking rules.
Specifically, the intelligent rechecking rule engine model rechecks data by arranging and combining various rechecking rules, simulates a human reasoning mode, uses a heuristic method for reasoning, realizes the separation of business rules from application program codes, uses a predefined semantic module to write business decisions, receives data input and explains the business rules, and makes the business decisions according to the rules. The rechecking rule model for the electric charge accounting is constructed, the rules and related data are input into the model to generate the rechecking rules (a plurality of independent or combined accounting items) for the electric charge accounting, the electric charge bills which do not need to be rechecked in a local area are reduced, the probability of capturing abnormal bill data which can cause forward and backward compensation is increased, and the accuracy and the working efficiency of the electric charge accounting are improved.
Fig. 2 is a schematic diagram illustrating an embodiment of a system for establishing a review rule model for reviewing an electric bill according to the present invention. In this embodiment, the method for establishing the review rule model for reviewing the electric bill includes:
the first acquisition module is used for acquiring the electric charge bill of the power consumer and accounting the electric charge bill of the power consumer according to a preset accounting rule to obtain corresponding abnormal distribution data, accounting data and forward-buffering and backward-supplementing data;
the second acquisition module is used for identifying exemption accounting items in the preset accounting rules corresponding to the abnormal distribution data;
the third acquisition module is used for acquiring expected effect data corresponding to a preset accounting rule, verifying the accounting data and the expected effect data, and determining whether each accounting item in the accounting data meets the expected effect according to a verification result to obtain verification data of the accounting item;
the fourth acquisition module is used for acquiring accounting item data triggered in the electric charge calculation process according to the positive and negative compensation data, and acquiring a user file and a metering file called in the electric charge calculation process;
and the model acquisition module is used for inputting the exemption condition item, the accounting item data, the user file, the charging file and the check data of the accounting item as input items into a preset intelligent rechecking rule engine model to obtain a rechecking rule model.
In a specific embodiment, the first obtaining module is further configured to obtain an accounting item in the preset accounting rule triggered by the electric bill, determine whether the accounting item is related to other services, should not trigger accounting, and needs manual review, and if the accounting item is related to other services, should not trigger accounting, and needs manual review, determine that the accounting item is abnormal distribution data;
and the electric bill is used for judging whether the electric bill of the power consumer is the bill which is issued by the electric charge and has the electric charge error, if the electric bill is the bill which is issued by the electric charge and has the electric charge error, identifying the electric charge error data, and offsetting and calculating the electric charge of the electric bill and recalculating the electric charge according to the electric charge error data to obtain the correct electric bill; and outputting the electric charge error data, the offset calculation charge data, the recalculated electric charge data and the correct electric charge bill as the forward-offset and backward-offset data.
Specifically, the second obtaining module is further configured to identify abnormal distribution data that needs to be manually reviewed, and obtain all triggered accounting items;
identifying abnormal distribution data in a direct distribution or to-be-distributed state in the abnormal distribution data;
and screening the accounting items corresponding to the abnormal distribution data in the state of direct distribution or to-be-distributed from all the triggered accounting items, and determining exemption accounting items existing in the abnormal distribution data according to a screening result.
More specifically, the model obtaining module is further configured to identify, by the preset intelligent rechecking rule engine model, the exempting condition item, the accounting item data, the user profile, the billing profile, and the check data of the accounting item that are input through a preset semantic module, and perform association according to an identified semantic result to obtain association relationship data;
arranging and combining or independently combining the associated exemption condition items, the accounting item data, the user file, the charging file and the checking data of the accounting items according to the association relation data to obtain a re-accounting item;
and outputting all the rechecking calculation items as a rechecking rule model.
For the implementation process of the system for establishing the rechecking rule model for rechecking the electric bill, reference may be made to the specific process of the method for establishing the rechecking rule model for rechecking the electric bill, which is not described herein again.
In summary, the embodiment of the invention has the following beneficial effects:
the method and the system for establishing the rechecking rule model for rechecking the electric bill provided by the invention have the advantages that various rechecking rules are arranged and combined through the intelligent rechecking rule engine model to recheck the data again, the human reasoning mode is simulated, and the reasoning is carried out by using a tentative method; the new rechecking rule model is generated by inputting the rule (single electric charge accounting rule) and the related data (the electric quantity and the electric charge related data of the user) into the model, so that the electric charge bill which does not need to be rechecked in a district is reduced, the probability of capturing the data which can cause the abnormal bill to be filled forward or backward is increased, and the accuracy and the working efficiency of the electric charge accounting are improved.
The above disclosure is only for the purpose of illustrating the preferred embodiments of the present invention, and it is therefore to be understood that the invention is not limited by the scope of the appended claims.
Claims (10)
1. A method for establishing a rechecking rule model for rechecking an electric bill is characterized by comprising the following steps of:
step S1, acquiring an electric bill of the power consumer, and accounting the electric bill of the power consumer according to a preset accounting rule to obtain corresponding abnormal distribution data, accounting data and forward/backward compensation data;
step S2, identifying exemption accounting items in the preset accounting rules corresponding to the abnormal distribution data;
step S3, obtaining expected effect data corresponding to a preset accounting rule, verifying the accounting data and the expected effect data, and determining whether each accounting item in the accounting data meets the expected effect according to a verification result to obtain verification data of the accounting item;
step S4, acquiring accounting item data triggered in the electric charge calculation process according to the positive and negative compensation data, and acquiring a user file and a metering file called in the electric charge calculation process;
and step S5, inputting the exemption condition item, the accounting item data, the user file, the billing file and the check data of the accounting item as input items into a preset intelligent rechecking rule engine model to obtain a rechecking rule model.
2. The method of claim 1, wherein in step S1, the obtaining corresponding abnormal distribution data comprises:
and acquiring an accounting item in the preset accounting rule triggered by the electric bill, judging whether the accounting item is related to other services, should not trigger accounting and needs manual review, and if the accounting item is related to other services, should not trigger accounting and needs manual review, judging that the accounting item is abnormal distribution data.
3. The method according to claim 2, wherein in step S1, the obtaining corresponding positive-going backoff data comprises:
judging whether the electric bill of the power consumer is a bill which is issued with the electric charge and has the electric charge error, if so, identifying electric charge error data, and offsetting and recalculating the electric charge of the electric bill according to the electric charge error data to obtain a correct electric bill;
and outputting the electric charge error data, the offset calculation charge data, the recalculated electric charge data and the correct electric charge bill as the forward-offset and backward-offset data.
4. The method of claim 3, wherein the step S2 includes:
identifying abnormal distribution data needing manual review to obtain all triggered accounting items;
identifying abnormal distribution data in a direct distribution or to-be-distributed state in the abnormal distribution data;
and screening the accounting items corresponding to the abnormal distribution data in the state of direct distribution or to-be-distributed from all the triggered accounting items, and determining exemption accounting items existing in the abnormal distribution data according to a screening result.
5. The method of claim 4, wherein the step S3 includes:
when the accounting data corresponding to the accounting item accords with the corresponding expected effect, judging that the accounting item meets the expected effect, and outputting the check data of the accounting item to be normal;
and when the accounting data corresponding to the accounting item does not accord with the corresponding expected effect, judging that the accounting item does not meet the expected effect, and outputting the check data of the accounting item as abnormal.
6. The method of claim 5, wherein the step S5 includes:
the preset intelligent rechecking rule engine model identifies the input exemption condition item, the accounting item data, the user file, the charging file and the check data of the accounting item through a preset semantic module, and associates according to an identified semantic result to obtain association relation data;
arranging and combining or independently combining the associated exemption condition items, the accounting item data, the user file, the charging file and the checking data of the accounting items according to the association relation data to obtain a re-accounting item;
and outputting all the rechecking calculation items as a rechecking rule model.
7. A system for establishing a review rule model for review of an electric bill, for implementing the method according to any one of claims 1 to 6, comprising:
the first acquisition module is used for acquiring the electric charge bill of the power consumer and accounting the electric charge bill of the power consumer according to a preset accounting rule to obtain corresponding abnormal distribution data, accounting data and forward-buffering and backward-supplementing data;
the second acquisition module is used for identifying exemption accounting items in the preset accounting rules corresponding to the abnormal distribution data;
the third acquisition module is used for acquiring expected effect data corresponding to a preset accounting rule, verifying the accounting data and the expected effect data, and determining whether each accounting item in the accounting data meets the expected effect according to a verification result to obtain verification data of the accounting item;
the fourth acquisition module is used for acquiring accounting item data triggered in the electric charge calculation process according to the positive and negative compensation data, and acquiring a user file and a metering file called in the electric charge calculation process;
and the model acquisition module is used for inputting the exemption condition item, the accounting item data, the user file, the charging file and the check data of the accounting item as input items into a preset intelligent rechecking rule engine model to obtain a rechecking rule model.
8. The system of claim 7, wherein the first obtaining module is further configured to obtain an accounting item in the preset accounting rule triggered by the electric bill, determine whether the accounting item is related to other businesses and should not trigger accounting and needs manual review, and if the accounting item is related to other businesses and should not trigger accounting and needs manual review, determine that the accounting item is abnormal distribution data;
and the electric bill is used for judging whether the electric bill of the power consumer is the bill which is issued by the electric charge and has the electric charge error, if the electric bill is the bill which is issued by the electric charge and has the electric charge error, identifying the electric charge error data, and offsetting and calculating the electric charge of the electric bill and recalculating the electric charge according to the electric charge error data to obtain the correct electric bill; and outputting the electric charge error data, the offset calculation charge data, the recalculated electric charge data and the correct electric charge bill as the forward-offset and backward-offset data.
9. The system of claim 8, wherein the second obtaining module is further configured to identify abnormal distribution data that needs to be manually reviewed, and obtain all triggered accounting terms;
identifying abnormal distribution data in a direct distribution or to-be-distributed state in the abnormal distribution data;
and screening the accounting items corresponding to the abnormal distribution data in the state of direct distribution or to-be-distributed from all the triggered accounting items, and determining exemption accounting items existing in the abnormal distribution data according to a screening result.
10. The system of claim 9, wherein the model obtaining module is further configured to identify, by the preset intelligent review rule engine model, the input exemption condition item, the accounting item data, the user profile, the billing profile, and the check data of the accounting item through a preset semantic module, and perform association according to an identified semantic result to obtain association relationship data;
arranging and combining or independently combining the associated exemption condition items, the accounting item data, the user file, the charging file and the checking data of the accounting items according to the association relation data to obtain a re-accounting item;
and outputting all the rechecking calculation items as a rechecking rule model.
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