CN116012087A - Electric charge accounting plan creation method based on dynamic strategy - Google Patents
Electric charge accounting plan creation method based on dynamic strategy Download PDFInfo
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Abstract
The invention discloses an electric charge accounting plan creation method based on a dynamic strategy, and relates to the field of user electric charge settlement. The method comprises the following steps: acquiring archival data and electricity consumption information of at least two target users in a target user set; determining a to-be-settled state of the target user based on the archive data and the electricity consumption information; user grading is carried out based on the to-be-settled state of the target user; establishing an electric charge settlement plan corresponding to the target user in response to the user grading level being a high-quality level; determining a critical time node corresponding to the target user set based on an electric charge settlement plan creation strategy; and creating an electric charge settlement plan for the target user set. And an electric charge settlement plan is created based on the user attributes, and the thought of the critical creation plan of the high-quality user and the bad user is combined, so that the electricity consumption information acquisition condition is fully considered, the effective pressure drop indication is carried out, the number of the missed meter reading work orders is increased, and the quality effect of electric charge distribution is improved.
Description
Technical Field
The invention relates to the field of user electricity charge settlement, in particular to an electricity charge accounting plan creation method based on a dynamic strategy.
Background
Along with the development of informatization and digitalization technologies, the traditional electricity fee settlement work which relies on a large amount of manpower gradually realizes centralization, standardization and intellectualization. The electric charge settlement mainly comprises business links such as electric charge settlement plan creation, meter reading and missing, electric charge calculation, abnormal auditing, electric charge issuing and the like, and the business links serve as the first link of a driving settlement flow, and the influence of the electric charge settlement plan creation efficiency on the electric charge settlement work quality effect is of great importance.
In the related technology, the power grid enterprises distinguish users according to geographic positions, integrate users based on the concept of accounting packages, draw an electric charge settlement plan by taking the accounting packages as the minimum units, and create the electric charge settlement plan in a preset time point and a regional mode by adopting a fixed strategy. If the electricity fee settlement plan is set at 9 points of 1 month, the electricity fee settlement plan is created zone by zone according to the set zone sequence.
The settlement plan creation method selected in the related art does not sufficiently consider the acquisition condition of the user electricity consumption information acquisition data. In one example, at 9 points 10 minutes, all users in the accounting package complete the receiving of the pushing data of the electricity collection system in the marketing system, but at 9 points, the accounting package establishes a settlement plan according to a strategy, at the moment, 5% of users in the accounting package do not complete the receiving of the collected data, the users are reminded to miss the reading of the prompt number, and the manual meter reading and defect elimination of service personnel are needed, so that the processing efficiency of electricity charge settlement is restricted, and the labor cost of a power grid enterprise is increased. Meanwhile, the existing electric charge settlement plan is created based on manual configuration accounting packages, and if the attribute of the accounting packages is set incorrectly or a new user does not distribute the accounting packages in time, the electric charge settlement plan can be wrongly sent or missed, so that the correct and on-time distribution of the electric charge of the user is seriously influenced. Therefore, the power fee settlement method adopting the fixed plan creation policy according to the accounting package in the related art has poor working quality.
Disclosure of Invention
The invention aims to overcome the defects existing in the prior art, thereby providing an electric charge accounting plan creation method based on a dynamic strategy, reducing the quantity of reading missed reading work orders, reducing the cost of eliminating the defects of manual meter reading and improving the quality effect of electric charge distribution. The method comprises the following steps:
acquiring archival data and electricity consumption information of at least two target users in a target user set, wherein the archival data are used for representing characteristic attributes of the target users, and the electricity consumption information comprises at least one of daily freezing readings and month end freezing readings;
determining a to-be-settled state of the target user based on the archive data and the electricity consumption information, wherein the to-be-settled state comprises a state in which an electricity charge settlement plan can be created, a state in which the electricity charge settlement plan cannot be created and a state in which automatic supplementary records are to be carried out;
user grading is carried out based on the to-be-settled state of the target user, wherein the user grading level comprises a high-quality level and a bad level;
establishing an electric charge settlement plan corresponding to the target user in response to the user grading level being a high-quality level;
determining a critical time node corresponding to the target user set, wherein the critical time node is associated with the file data of the target user and the acquisition rate of electricity consumption information in the target user set;
and in response to reaching the critical time node, creating an electricity charge settlement plan of the rest target users in the target user set.
In an alternative embodiment, the method further comprises:
responding to the user grading level as a bad level, and monitoring the data acquisition condition of the target user;
and responding to the data acquisition condition of the target user to indicate that the month end freezing indication of the target user is acquired, and adjusting the grading level of the user to be a high-quality level.
In an alternative embodiment, the profile data of the target subscriber includes at least one of a subscriber number, a subscriber name, a power supply unit, an accounting period, a power class, a subscriber class, an operating capacity, a marketization attribute class, a subscriber status, a power delivery date, a subscriber date, a transfer flag, a station area, metering point related information, transformer related information, and meter related information.
In an alternative embodiment, the determining the to-be-settled status of the target user based on the profile data and the electricity consumption information includes:
performing user cleaning based on the user profile data;
determining a to-be-settled status of the target user as an non-creative electricity charge settlement plan status in response to occurrence of at least one of the following conditions:
(1) The state of the target user is not normal electricity utilization;
(2) The settlement date is not consistent with the accounting period of the user;
(3) The metering points of the user are all in a deactivated state;
(4) No meter is installed under all actual metering points of the user;
(5) The user has an electricity fee settlement plan which is not terminated in transit.
In an alternative embodiment, after determining the to-be-settled status of the target user based on the profile data and the electricity consumption information, the method includes:
responding to the to-be-settled state of the target user as a non-creator electric charge settlement plan state, and adjusting the archive data of the target user;
and responding to the completion of the adjustment of the profile data of the target user, and determining the adjusted state to be settled of the target user through user cleaning.
In an alternative embodiment, the determining the to-be-settled status of the target user based on the profile data and the electricity consumption information includes:
judging whether the target user is a full-capacity pause user or not;
and responding to the condition that the target user is a full-capacity pause user and the month end frozen indication is empty, and determining that the state to be settled of the target user is a state to be automatically recorded.
In an alternative embodiment, determining whether the target user is a full-capacity pause user comprises:
after determining that the target user handles the volume reduction or suspension service, the state and the running capacity of the transformer corresponding to the target user;
and in response to the transformer state being in the disabled state and the running capacity being 0, determining that the target user is a full-capacity pause user.
In an alternative embodiment, after determining that the to-be-settled status of the target user is the to-be-automatically-recorded status, the method further includes:
determining the changing power utilization business action of the target user in a settlement period;
determining the effective date of full-capacity suspension of the target user and the changing electricity service in a settlement period;
responding to the fact that the effective date of the full-capacity pause of the target user is not in the settlement period, changing and changing electricity service is not handled in the settlement period, the month end freezing indication is empty, the day freezing indication of the last meter reading date and the day freezing indication of the day of the current meter reading date are both empty or the daily electricity quantity is 0, and automatically remedying the upper-period settlement release indication is the month end freezing indication of the current period;
and responding to the fact that the effective day of the full-capacity pause of the target user is in a settlement period, and the freezing indication number of the month is empty, and the freezing indication number of the day from the second day of the full-capacity pause effective day to the day of the meter reading in this time is empty or the daily electric quantity is 0, wherein the real-time recording indication number of the stopping of the full-capacity pause effective day is the freezing indication number of the month in this time.
In an alternative embodiment, in response to the user grading level being a high-quality level, creating an electricity charge settlement plan corresponding to the target user, comprising:
establishing a plan creation pool in response to the user grading level being a high-quality level;
and (5) performing virtual package distribution and electricity charge settlement plan creation according to the number of users.
In an alternative embodiment, determining a critical time node corresponding to the set of target users based on the electric charge settlement plan creation policy includes:
classifying the target users, wherein the classification comprises at least one of user type classification, platform region classification and marketization attribute classification;
setting an initial critical time node and a stepping period for target users under the same classification;
responding to the acquisition rate corresponding to the target user set reaching an acquisition rate threshold when the initial critical time node is used as the critical time node;
and in response to the acquisition rate corresponding to the target user set not reaching the acquisition rate threshold value at the initial critical time node, accumulating the step time periods on the initial critical time node until the moment after accumulating at least one step time period, and taking the moment after accumulating at least one step time period as the critical time node by combining the acquisition rate corresponding to the target user set.
The technical scheme provided by the invention has the beneficial effects that at least:
after the target user set is set, determining a to-be-settled state based on user information in the target user set, performing user grading and electric charge settlement plan creation strategies according to the to-be-settled state, and executing plans at corresponding critical time nodes. And an electric charge settlement plan is created based on the user attributes, and the thought of the critical creation plan of the high-quality user and the bad user is combined, so that the electricity consumption data acquisition condition is fully considered, the effective pressure drop indication missing meter reading work order quantity is reduced, the manual meter reading defect eliminating cost is reduced, and the electric charge issuing quality is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of an electric charge accounting plan creation method based on a dynamic policy according to an exemplary embodiment of the present application;
fig. 2 is a flowchart illustrating another method for creating an electric charge accounting plan based on a dynamic policy according to an exemplary embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, the embodiments of the present invention will be described in further detail with reference to the accompanying drawings.
Fig. 1 is a schematic flow chart of a method for creating an electric charge settlement plan based on a dynamic policy according to an exemplary embodiment of the present application, and the method is applied to a computer device for explanation, and includes:
and step 101, acquiring archival data and electricity consumption information of at least two target users in the target user set.
In the embodiment of the present application, the target user set includes at least two target users, that is, users who need to participate in the present electric charge accounting. In the embodiment of the application, the profile data is used for characterizing the characteristic attribute of the target user, and the electricity consumption information comprises at least one of a day freezing indication and a month end freezing indication. Optionally, the day freezing indication is at least one day, the electricity consumption data generated and frozen by the electric energy meter used by the user at the time of 0 point per day, and the month end freezing indication is freezing data generated every month.
And 102, determining the to-be-settled state of the target user based on the archive data and the power consumption information.
In the embodiment of the application, the to-be-settled state includes a state in which an electric charge settlement plan can be created, a state in which an electric charge settlement plan cannot be created, and a state in which automatic supplementary recording is to be performed. Optionally, if the to-be-settled state of the target user is a state in which the electric charge settlement plan cannot be created, namely the target user is not included in the electric charge settlement plan; and if the to-be-settled state of the target user is the to-be-recorded state, automatically recording the to-be-recorded state according to the actual situation.
And step 103, user grading is carried out based on the to-be-settled state of the target user.
In the embodiment of the application, the classification of the user includes a quality level and a bad level. The bad level indicates a user's data loss, e.g., a loss of the end of month freeze indication.
And 104, responding to the user grading level as the high-quality level, and creating an electric charge settlement plan corresponding to the target user.
In the embodiment of the application, for different user grades, the computer equipment establishes different electric charge settlement plan creation strategies. In this case, the electric charge settlement plan determination is directly performed for the user of the high-quality class. Correspondingly, in the embodiment of the application, for users with bad levels, the computer equipment performs data calling and other works.
Step 105, determining a critical time node corresponding to the target user set based on the electric charge settlement plan creation policy.
Optionally, the critical time node is a time node for performing unified accounting, and in this embodiment of the present application, the critical time node is associated with an acquisition rate of file data and electricity consumption information of the target user in the target user set.
And step 106, in response to reaching the critical time node, creating an electricity charge settlement plan of the rest target users in the target user set.
In the embodiment of the application, when the critical time node is reached, the computer equipment automatically creates the electricity charge settlement plan of the remaining target users, and optionally, the specific measure of the electricity charge settlement plan of the remaining target users is to re-create the electricity charge settlement plan after manually recording the data.
In summary, after the target user set is set, the method provided in the embodiment of the present application determines the to-be-settled status based on the user information in the target user set, performs the user classification and the electricity fee settlement plan creation policy according to the to-be-settled status, and executes the plan at the corresponding critical time node. And an electric charge settlement plan is created based on the user attributes, and the thought of the critical creation plan of the high-quality user and the bad user is combined, so that the electricity consumption information acquisition condition is fully considered, the effective pressure drop indication is carried out, the number of the missed meter reading work orders is increased, and the quality effect of electric charge distribution is improved.
Fig. 2 is a flow chart of another method for creating an electric charge accounting plan based on a dynamic policy according to an exemplary embodiment of the present application, and the method is applied to a computer device for explanation, and includes:
step 201, acquiring profile data and electricity consumption information of at least two target users in a target user set.
This process corresponds to the process described in step 101, and will not be described in detail here. In this embodiment of the present application, the profile data of the target user includes at least one of a user number, a user name, a power supply unit, an accounting period, a power usage category, a user classification, an operation capacity, a marketization attribute classification, a user status, a power transmission date, a household date, a transfer sign, a station area, metering point related information, transformer related information, and meter related information.
And step 203, determining the state to be settled of the target user as a state in which the electric charge settlement plan cannot be created in response to at least one corresponding condition.
And 204, responding to the condition that the to-be-settled state of the target user is a non-creator electric charge settlement plan state, and optimally adjusting the file data of the user.
(1) The state of the target user is not normal electricity utilization;
(2) The settlement date is not consistent with the accounting period of the user;
(3) The metering points of the user are all in a deactivated state;
(4) No meter is installed under all actual metering points of the user;
(5) The user has an electricity fee settlement plan which is not terminated in transit.
In the embodiment of the application, when the situation occurs, that is, the creation of the electric charge settlement plan is not performed for the target user, and the profile data of the user is optimally adjusted. In this embodiment of the present application, after the adjustment of the profile data of the target user is completed, the to-be-settled state of the target user may be redetermined by means of a user cleaning again.
In the embodiment of the application, after user cleaning is performed, for the rest users, determining the state and the running capacity of the transformer corresponding to the target user after the target user handles the volume reduction or suspension service; and in response to the transformer state being in a disabled state and the running capacity being 0, determining that the target user is a full-capacity pause user.
And step 206, in response to the target user being a full-capacity pause user and the month end freeze indication being empty, determining that the state to be settled of the target user is a state to be automatically recorded.
In this embodiment, in response to the situation that the target user is a full-capacity pause user, it is determined that the to-be-settled state is the to-be-automatically-recorded state, and in this case, steps 207 to 209 provide corresponding recording modes.
Step 207, determining the business action of the target user in the settlement period.
And step 208, in response to the fact that the effective date of the full-capacity pause of the target user is not in the settlement period, the changing and changing power service is not handled in the settlement period, the month end freezing indication is null, the day freezing indication of each day in the last meter reading date and the current meter reading date is null or the daily electricity quantity is 0, and the upper-period settlement release indication is automatically recorded as the month end freezing indication of the current period.
Optionally, after determining the business action in the settlement period, the automatic supplementary record of the registration is not required for the rest target users in the state of automatic supplementary record except for the cases of step 207 to step 208.
In the embodiment of the application, the automatic repair of the power consumption information acquisition data is performed for the full-capacity pause user, so that the workload of follow-up defect elimination work can be reduced when the reading is missed.
Step 210, determining that the target user is in a state of creating an electricity charge settlement plan.
In the embodiment of the application, for the user with complete archive data and electricity consumption, the user is determined to be capable of creating an electricity charge settlement plan state.
Step 211, user classification is performed based on the to-be-settled status of the target user.
As shown in step 103, the user classification includes a quality level and a bad level, and in this embodiment of the present application, the user classification is performed based on the to-be-settled status of the target user and the acquisition of the month end freeze indication.
It should be noted that, users of bad level may be converted into users of good quality by supplementing and receiving the end-of-month freeze indication.
In response to the user ranking being a quality ranking, a plan creation pool is established, step 212.
And step 213, performing virtual package allocation and electric charge settlement plan creation corresponding to the number of users.
In the embodiment of the application, the virtual package is only used for judging when the user electricity charge settlement plan is created, and is not an actual attribute of the user. The upper limit of the number of users in the virtual package can be dynamically set according to the system performance. In one example, the upper limit of the number of users within a virtual package is 3000.
And step 214, monitoring the data acquisition condition of the target user in response to the user grading level being a bad level.
And step 215, adjusting the level of the user grading to be a high-quality level in response to the data acquisition condition of the target user indicating that the month end freeze indication of the target user is acquired.
In the embodiment of the present application, when the user classification level is a bad level, that is, the data collection condition of the target user is continuously monitored, and the critical month end freeze indication is obtained. After the corresponding data is acquired, the user grading level is adjusted to a high-quality level.
It should be noted that, when the user grades of the transferring sub-user and the transferring parent user are consistent, all the month end frozen readings must be received at the same time, and the user grade can be changed into high quality.
In an embodiment of the present application, the classification includes at least one of a user type classification, a region classification, and a marketization attribute classification. The user type classification comprises four types of high-voltage, low-voltage non-resident and low-voltage resident types and photovoltaic types. Marketization attributes include marketization, agent purchase, and non-marketization. The classification of the transformer areas is performed according to the power supply range of the transformer. In the embodiment of the application, the subsequent determination process of the critical time node and the acquisition rate is performed based on the classification of the target user.
In the embodiment of the application, the logic for creating all the electric charge settlement plans is that for target users under the same classification, when the time reaches a critical time node and the collection rate reaches a threshold value, the electric charge settlement plans are created.
Thus, in the embodiment of the present application, the initial critical time node T0 is set. Meanwhile, a stepping period t0 is set corresponding to the condition that the acquisition rate does not reach the standard when the initial critical time node is reached.
Step 218, in response to the acquisition rate corresponding to the target user set reaching the acquisition rate threshold at the initial critical time node, taking the initial critical time node as the critical time node.
Step 219, in response to the collection rate corresponding to the target user set not reaching the collection rate threshold at the initial critical time node, accumulating the step periods on the initial critical time node until the time after accumulating the at least one step period, the target user combines the corresponding collection rate to reach the collection rate threshold, and taking the time after accumulating the at least one step period as the critical time node.
Step 218 and step 219 illustrate the updating process of the critical time node. That is, the final critical time node is t0+n×t0, where n is a natural number.
In the embodiment of the present application, the collection rate is calculated by using the number of users in user class i that received the month end freeze indication/the total number of remaining users in user class i. Optionally, the collection rate threshold is greater than or equal to 95%, and in one example, the collection rate threshold for high voltage users is 98% and the collection rate threshold for low voltage residents is 96%. It should be noted that the acquisition rate threshold may be determined according to expert experience, or a machine learning model may be established corresponding to the selection of the acquisition rate threshold to determine the acquisition rate threshold.
And 220, dividing the virtual package for the rest target users under the same classification and creating an electric charge settlement plan.
The process is a process of creating an electric charge settlement plan for the remaining target users.
In summary, after the target user set is set, the method provided in the embodiment of the present application determines the to-be-settled status based on the user information in the target user set, performs the user classification and the electricity fee settlement plan creation policy according to the to-be-settled status, and executes the plan at the corresponding critical time node. And an electric charge settlement plan is created based on the user attributes, and the thought of the critical creation plan of the high-quality user and the bad user is combined, so that the electricity consumption information acquisition condition is fully considered, the effective pressure drop indication is carried out, the number of the missed meter reading work orders is increased, and the quality effect of electric charge distribution is improved.
That is, the present invention includes at least three beneficial effects:
(1) The invention provides an automatic supplementary recording function of the month end frozen indication number aiming at the full-capacity pause user, which can practically reduce the workload of manual meter reading and defect elimination and improve the automation degree of the electric charge settlement process.
(2) The invention realizes the dynamic adjustment of the electric charge settlement plan creation strategy by dynamically adjusting the user classification and the critical time based on the thought of the high-quality user creating plan and the bad user critical creation plan, fully considers the electricity consumption information acquisition condition, effectively reduces the pressure, displays the number of missed meter reading work orders and powerfully improves the electric charge issue quality effect.
(3) The invention does not judge the accounting package attribute which is manually set in the past, but only creates the electric charge settlement plan based on the user attribute, thereby avoiding the bad influence caused by the error of the accounting package attribute or the uncoupling of the new user.
The foregoing description of the preferred embodiments of the present invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, alternatives, and improvements within the spirit and principles of the present invention.
Claims (10)
1. An electric charge accounting plan creation method based on a dynamic policy, wherein the method is applied to a computer device, and the method comprises:
acquiring archival data and electricity consumption information of at least two target users in a target user set, wherein the archival data are used for representing characteristic attributes of the target users, and the electricity consumption information comprises at least one of daily freezing readings and month end freezing readings;
determining a to-be-settled state of the target user based on the archive data and the electricity consumption information, wherein the to-be-settled state comprises a state in which an electricity charge settlement plan can be created, a state in which the electricity charge settlement plan cannot be created and a state in which automatic supplementary records are to be carried out;
user grading is carried out based on the to-be-settled state of the target user, wherein the user grading level comprises a high-quality level and a bad level;
establishing an electric charge settlement plan corresponding to the target user in response to the user grading level being a high-quality level;
determining a critical time node corresponding to the target user set, wherein the critical time node is associated with the file data of the target user and the acquisition rate of electricity consumption information in the target user set;
and in response to reaching the critical time node, creating an electricity charge settlement plan of the rest target users in the target user set.
2. The method according to claim 1, wherein the method further comprises:
responding to the user grading level as a bad level, and monitoring the data acquisition condition of the target user;
and responding to the data acquisition condition of the target user to indicate that the month end freezing indication of the target user is acquired, and adjusting the grading level of the user to be a high-quality level.
3. The method of claim 1, wherein the profile data of the target user includes at least one of a user number, a user name, a power supply unit, a accounting period, a power class, a user classification, an operating capacity, a marketization attribute classification, a user status, a power delivery date, a household date, a transfer sign, a bay area, metering point related information, transformer related information, meter related information.
4. The method according to claim 1, wherein the determining a to-be-settled status of the target user based on the profile data and the electricity consumption information includes:
performing user cleaning based on the user profile data;
determining a to-be-settled status of the target user as an non-creative electricity charge settlement plan status in response to occurrence of at least one of the following conditions:
(1) The state of the target user is not normal electricity utilization;
(2) The settlement date is not consistent with the accounting period of the user;
(3) The metering points of the user are all in a deactivated state;
(4) No meter is installed under all actual metering points of the user;
(5) The user has an electricity fee settlement plan which is not terminated in transit.
5. The method according to claim 4, wherein after determining the state to be settled of the target user based on the profile data and the electricity consumption information, comprising:
responding to the state to be settled of the target user as a state in which an electric charge settlement plan cannot be created, and adjusting the archive data of the target user;
and responding to the completion of the adjustment of the archival data of the target user, and determining the adjusted state to be settled of the target user through user cleaning.
6. The method according to claim 1, wherein the determining a to-be-settled status of the target user based on the profile data and the electricity consumption information includes:
judging whether the target user is a full-capacity pause user or not;
and responding to the target user being a full-capacity pause user, and the month end freezing indication being empty, and determining the state to be settled of the target user as the state to be automatically recorded.
7. The method of claim 6, wherein said determining whether the target user is a full capacity pause user comprises:
after determining that the target user handles volume reduction or suspension service, the state and the running capacity of a transformer corresponding to the target user;
and in response to the transformer state being a disabled state and the running capacity being 0, determining that the target user is a full capacity pause user.
8. The method of claim 6, wherein after the determining that the state to be settled of the target user is a state to be automatically re-recorded, the method further comprises:
determining the effective date of full-capacity suspension of the target user and the changing electricity service in a settlement period;
responding to the fact that the effective date of the full-capacity pause of the target user is not in a settlement period, changing and changing electricity service is not handled in the settlement period, the frozen indication number of the month is empty, the frozen indication number of the day in the period of the last meter reading date and the current meter reading date is empty or the daily electricity quantity is 0, and automatically remedying the frozen indication number of the month in the last period;
and responding to the fact that the effective day of the full-capacity pause of the target user is in a settlement period, and the freezing indication number of the month is empty, and the freezing indication number of the day from the second day of the full-capacity pause effective day to the day of the meter reading in this time is empty or the daily electric quantity is 0, and automatically recording the non-use real-time recording indication number of the full-capacity pause effective day as the freezing indication number of the month in this time.
9. The method of claim 1, wherein the creating an electricity charge settlement plan corresponding to the target user in response to the user grading being of a high-quality level comprises:
establishing a plan creation pool in response to the user grading level being a high-quality level;
and (5) performing virtual package distribution and electricity charge settlement plan creation according to the number of users.
10. The method of claim 1, wherein the determining a critical time node corresponding to the target user set based on the electric charge settlement plan creation policy comprises:
classifying the target user, wherein the classification comprises at least one of user type classification, platform region classification and marketization attribute classification;
setting an initial critical time node and a stepping period for the target users under the same classification;
responding to the acquisition rate corresponding to the target user set reaching an acquisition rate threshold when the initial critical time node is used as the critical time node;
and in response to the acquisition rate corresponding to the target user set does not reach the acquisition rate threshold value when the initial critical time node is reached, accumulating the stepping time periods on the initial critical time node until the moment after accumulating at least one stepping time period, wherein the target user is combined with the corresponding acquisition rate to reach the acquisition rate threshold value, and taking the moment after accumulating at least one stepping time period as the critical time node.
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| CN202310146053.3A CN116012087B (en) | 2023-02-22 | 2023-02-22 | Electric charge settlement plan creation method based on dynamic strategy |
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| CN202310146053.3A CN116012087B (en) | 2023-02-22 | 2023-02-22 | Electric charge settlement plan creation method based on dynamic strategy |
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| CN116012087A true CN116012087A (en) | 2023-04-25 |
| CN116012087B CN116012087B (en) | 2023-06-30 |
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| CN117455418A (en) * | 2023-12-22 | 2024-01-26 | 光大环境科技（中国）有限公司 | Automatic settlement method and system for industrial and commercial photovoltaic benefits |
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