Electric meter billing inspection method and device, electronic equipment and storage medium

By retrieving user information and billing readings from the billing inspection database, and using SQL programming tools to automatically determine whether a meter has been billed after installation, the system combines predicted electricity consumption with the contracted capacity ratio to solve the problems of low efficiency and poor accuracy in checking for unbilled meters after installation, thus achieving efficient and accurate intelligent detection.

CN119886704BActive Publication Date: 2025-12-16GUANGDONG POWER GRID CO LTD +1
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Patent Information

Application Number
CN202411973908.0
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-12-30
Publication Date
2025-12-16
Estimated Expiration
2044-12-30

AI Technical Summary

Technical Problem

In existing technologies, it is impossible to efficiently and accurately check cases where electricity meters have not been billed after installation, resulting in low verification efficiency and inaccurate results.

Method used

By obtaining basic user information and billing readings from the billing inspection database, and using structured query language programming tools, the system automatically determines whether the electricity meter has not been billed after installation. Combining the meter reading time difference, initial meter readings, total active power consumption, and comprehensive multiplier, the system determines the predicted daily electricity consumption and makes a ratio judgment based on the time coefficient and contract capacity.

Benefits of technology

It enables intelligent detection of unbilled electricity meters after installation, improving inspection efficiency and accuracy, avoiding missed detections, and reducing the need for manual verification.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

Embodiments of the present application disclose a meter charging inspection method and device, electronic equipment and a storage medium. User basic information and charging indication information are obtained from a charging inspection database; the user basic information includes a power-on time, total active power, a comprehensive multiplier and a contract capacity, and the charging indication information includes an initial meter reading time and an initial meter reading indication; whether the meter is not charged after installation is determined according to a meter reading time difference between the initial meter reading time and the power-on time; if not, a daily electricity consumption prediction value is determined according to the meter reading time difference, the initial meter reading indication, the total active power and the comprehensive multiplier; and whether the meter is not charged after installation is determined according to the daily electricity consumption prediction value, a time coefficient and the contract capacity. The embodiments of the present application improve the efficiency and accuracy of checking whether the meter is not charged after installation.
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Description

TECHNICAL FIELD

[0001] Embodiments of the present application relate to data processing technology, and in particular, to a meter billing inspection method and device, an electronic device, and a storage medium. BACKGROUND

[0002] In the process of installing a meter, after the line planning and meter installation are completed on site, the electricity engineering needs to pass the formal acceptance, and the marketing system needs to establish the electricity file, and then the electricity charge can be calculated. If the user installs the meter in advance, the electricity charge in the period before the marketing system establishes the electricity file cannot be settled.

[0003] In the prior art, manual on-site inspection and checking are needed to determine whether the meter is not charged after installation.

[0004] However, the manual checking has a large workload, is low in efficiency, and cannot guarantee the accuracy of the checking result, and is prone to missing detection. SUMMARY

[0005] The present application provides a meter billing inspection method and device, an electronic device, and a storage medium to improve the efficiency and accuracy of checking whether the meter is not charged after installation.

[0006] In a first aspect, the embodiments of the present application provide a meter billing inspection method, which comprises:

[0007] obtaining user basic information and billing indicator information from a billing inspection database; the user basic information comprises a power-on time, a total active power, a comprehensive multiplier, and a contract capacity, and the billing indicator information comprises an initial meter reading time and an initial meter reading indicator;

[0008] determining whether the meter is not charged after installation according to a meter reading time difference between the initial meter reading time and the power-on time;

[0009] If not, determining a daily electricity consumption prediction value according to the meter reading time difference, the initial meter reading indicator, the total active power, and the comprehensive multiplier;

[0010] determining whether the meter is not charged after installation according to the daily electricity consumption prediction value, a time coefficient, and the contract capacity.

[0011] In a second aspect, the embodiments of the present application further provide a meter billing inspection device, which comprises:

[0012] an information obtaining module, configured to obtain user basic information and billing indicator information from a billing inspection database; the user basic information comprises a power-on time, a total active power, a comprehensive multiplier, and a contract capacity, and the billing indicator information comprises an initial meter reading time and an initial meter reading indicator;

[0013] The unbilled time difference judgment module is used to determine whether the electricity meter has not been billed after installation based on the meter reading time difference between the initial meter reading time and the power supply time.

[0014] The daily electricity consumption forecast determination module is used to determine the daily electricity consumption forecast value based on the meter reading time difference, the initial meter reading, the total active power consumption, and the comprehensive multiplier, if not.

[0015] The unbilled electricity consumption determination module is used to determine whether the electricity meter has not been billed after installation, based on the daily electricity consumption forecast, time coefficient, and contract capacity.

[0016] Thirdly, embodiments of this application also provide an electronic device, which includes:

[0017] One or more processors;

[0018] Storage device for storing one or more programs;

[0019] When one or more programs are executed by one or more processors, the one or more processors implement any of the electricity meter billing check methods provided in the embodiments of this application.

[0020] Fourthly, embodiments of this application also provide a storage medium including computer-executable instructions, which, when executed by a computer processor, are used to perform any of the electricity meter billing check methods provided in embodiments of this application.

[0021] This application obtains user basic information and billing reading information from a billing inspection database. User basic information includes power supply time, total active power, comprehensive multiplier, and contracted capacity. Billing reading information includes the initial meter reading time and initial meter reading. The billing inspection database stores all information for checking whether billing has not been completed after meter installation, facilitating automatic screening using structured query language programming tools. Based on the meter reading time difference between the initial meter reading time and the power supply time, it determines whether billing has not been completed after meter installation. The method is simple, the judgment logic is straightforward, and the efficiency is high, improving the safety of meter detection. The efficiency of checking whether billing has not been completed after installation is assessed. If not, the daily electricity consumption forecast is determined based on the meter reading time difference, initial meter reading, total active power, and comprehensive multiplier. Based on the daily electricity consumption forecast, time coefficient, and contracted capacity, it is determined whether billing has not been completed after meter installation. The theoretical and actual electricity consumption values ​​corresponding to the meter reading time difference are compared to determine whether billing has not been completed after meter installation. Further screening based on electricity consumption can avoid missed detections and improve the accuracy of checking whether billing has not been completed after meter installation. Furthermore, the entire process of detecting whether billing has not been completed after meter installation is automated, achieving intelligent detection of unbilled billing after meter installation, eliminating the need for manual verification and improving verification efficiency. Therefore, the technical solution of this application solves the problem of low efficiency and inability to guarantee the accuracy of verification results through manual verification, achieving the effect of improving the efficiency and accuracy of checking whether billing has not been completed after meter installation. Attached Figure Description

[0022] Figure 1 This is a flowchart of a meter billing inspection method according to Embodiment 1 of this application;

[0023] Figure 2 This is a flowchart of a meter billing inspection method according to Embodiment 2 of this application;

[0024] Figure 3 This is a flowchart of a meter billing inspection method according to Embodiment 3 of this application;

[0025] Figure 4 This is a schematic diagram of the structure of an electricity meter billing inspection device according to Embodiment 4 of this application;

[0026] Figure 5 This is a schematic diagram of the structure of an electronic device according to Embodiment 5 of this application. Detailed Implementation

[0027] In the following, the technical solutions in the embodiments of the present application will be described clearly and completely with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all the other embodiments obtained by a person of ordinary skill in the art without creative work should belong to the scope of protection of the present application.

[0028] It should be noted that the terms "first" and "second" and the like in the specification of the present application and claims and the above-described drawings are used to distinguish similar objects, and do not have to be used to describe a specific order or sequence. It should be understood that the data used in this way can be exchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device that includes a series of steps or units does not have to be limited to those steps or units clearly listed, but can include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0029] Embodiment One

[0030] Figure 1 A flowchart of a meter billing inspection method provided by Embodiment One of the present application, the present embodiment can be applicable to determining whether there is a case of not billing after installation of the user's meter by analyzing the relevant meter code data of the meter, and the method can be executed by a meter billing inspection device. The device can be implemented by software and / or hardware, and is specifically configured in the power system.

[0031] Referring to Figure 1 The meter billing inspection method shown in the figure specifically includes the following steps:

[0032] S110, obtaining user basic information and billing indication information from a billing inspection database; the user basic information includes power-on time, total active power, comprehensive multiplier and contract capacity, and the billing indication information includes initial meter reading time and initial meter reading indication.

[0033] The user basic information can be information describing basic parameters of the user and the electric meter installed by the user, and is used to determine whether the electric meter is not charged after installation. For example, the user basic information can include a power-on time, a total active power, a comprehensive ratio, and a contract capacity. The power-on time can be a time when the electric meter is connected to a power supply. The total active power is an index displayed by the electric meter, and can represent a total electric energy consumed by all electrical appliances of the user within a period of time. The comprehensive ratio can refer to a ratio of a constant of the electric meter to a transformer ratio, and can reflect a ratio relationship between the electric meter and the transformer, and can be used to determine the electric energy consumption. The contract capacity can refer to a total capacity of the electrical equipment of the user permitted by the power supply department and in the power supply contract, and can be used to determine whether the electric meter is not charged after installation in combination with the electric energy consumption. For a low-voltage user, the contract capacity can refer to a capacity of the electrical equipment allowed to be connected; and for a high-voltage user, the contract capacity can refer to a sum of a capacity of a transformer directly connected to a power supply voltage line and a capacity of a directly connected high-voltage motor.

[0034] The billing indication information can be information obtained when the electric meter installed by the user is charged, and is used to determine whether the electric meter is not charged after installation. For example, the billing indication information includes an initial meter reading time and an initial meter reading indication. The initial meter reading time can be a time when the earliest meter reading indication is collected in the meter reading record. The initial meter reading indication can be the earliest meter reading indication collected in the meter reading record.

[0035] The billing checking database can be a database pre-established to store the user basic information and the billing indication information, and is used to obtain the user basic information and the billing indication information to determine whether the electric meter is not charged after installation. The billing checking database can store a plurality of tables for storing corresponding information in the user basic information and the billing indication information. The plurality of tables in the billing checking database can be obtained from a database of a metering system and a database of a marketing system. For example, according to the user basic information and the billing indication information to be obtained, original tables containing corresponding information of the user can be obtained from the metering system and the marketing system, a table corresponding to the nature of the obtained original table can be created in the billing checking database, and corresponding data can be stored in the created table. The information in all tables can be associated through a user identifier. It should be noted that the obtained user basic information and the billing indication information both correspond to a user identifier, the user identifier is a unique identifier of the user, and whether the user basic information and the billing indication information are of the same user can be determined through the user identifier. The subsequent judgment process of the present application is based on the user basic information and the billing indication information of the same user. The user basic information and the billing indication information are stored in the billing checking database, which facilitates automatic implementation of the judgment process based on a structured query language (SQL) programming tool.

[0036] S120, determining whether the meter is not charged after installation according to the meter reading time difference between the initial meter reading time and the power supply time.

[0037] The meter reading time difference is the difference between the initial meter reading time and the power supply time, which is used to determine whether the meter is not charged after installation. In order to accurately obtain the user's electricity data for charging, it is necessary to collect the meter reading before the user is supplied with electricity, that is, to obtain the initial value of the meter when the user does not use electricity. In this way, after the user consumes electricity resources, the difference between the meter reading and the initial value can be used to determine the user's electricity consumption.

[0038] Therefore, when the meter reading time difference is less than 0, the initial meter reading time of the power supply is less than the power supply time, which means that the earliest time collected in the meter reading record is later than the power supply time, that is, the meter reading is collected after a period of time after the power supply. Therefore, the meter reading time difference can be used to determine whether the meter is not charged after installation; when the meter reading time difference is greater than or equal to 0, the initial meter reading time of the power supply is greater than or equal to the power supply time, which means that the earliest time collected in the meter reading record is not later than the power supply time, that is, the meter reading is collected before or at the time of power supply. Therefore, the meter reading time difference can be used to determine whether the meter is not charged after installation.

[0039] S130, if not, determining the daily electricity consumption prediction value according to the meter reading time difference, the initial meter reading, the total active power and the comprehensive multiplier.

[0040] If not, that is, the meter reading time difference is greater than or equal to 0, the meter reading time difference can be used to determine whether the meter is not charged after installation. At this time, it is necessary to further determine whether the meter is not charged after installation according to the related parameters of the electricity consumption.

[0041] The daily electricity consumption prediction value can be the daily electricity consumption estimated according to the meter reading time difference, the initial meter reading, the total active power and the comprehensive multiplier, which is used to determine whether the meter is not charged after installation according to the time coefficient and the contract capacity. The difference between the initial meter reading and the total active power can be obtained. The product of the difference and the comprehensive multiplier is the actual electricity consumption. The meter reading time difference is the corresponding use time of the actual electricity consumption. The unit of the actual electricity consumption is day. The daily electricity consumption prediction value can be obtained by dividing the actual electricity consumption by the meter reading time difference.

[0042] S140, determining whether the meter is not charged after installation according to the daily electricity consumption prediction value, the time coefficient and the contract capacity.

[0043] The time coefficient can be a predicted value or an average value of the power consumption time length of the user in a period of time, and is used as a coefficient of the contract capacity. For example, the time coefficient can be a predicted value or an average value of the power consumption time length of the user per hour, per day, or per week. In this application, the daily power consumption predicted value is determined according to the meter reading time difference, the initial meter reading value, the total active power, and the comprehensive multiplier. Therefore, in order to correspond to the same power consumption time length of the daily power consumption predicted value, the time coefficient corresponds to the average value or the predicted value of the power consumption time length in a day. For example, the time coefficient can be 12. The power consumption time length of the user per day is generally stable, and therefore, the time coefficient adopts the power consumption time length of the user per day, which can improve the accuracy of determining whether the meter is not charged after installation.

[0044] The contract capacity represents the total capacity of the power receiving equipment of the user in the power supply contract, which is generally determined based on the power demand prediction in a certain period of time, plus a certain standby capacity. When the ratio of the actual power consumption to the contract capacity is greater than 1 in the corresponding time length, it means that the actual power consumption is greater than the contract capacity. Since the contract capacity has limited the total capacity of the power receiving equipment of the user, theoretically, the case that the ratio of the actual power consumption to the contract capacity is greater than 1 cannot occur. Therefore, the ratio of the actual power consumption to the contract capacity in a unit time length can be used to determine whether the meter is not charged after installation. When the ratio of the actual power consumption to the contract capacity in a unit time length is greater than 1, it can be determined that the meter is not charged after installation. In practice, since the user's power consumption time is not fixed, the average value or the predicted value in a certain time length needs to be estimated, and therefore, the threshold value of the ratio of the actual power consumption to the contract capacity for determining whether the meter is not charged after installation can be greater than 1.

[0045] Using the time coefficient as the coefficient of the contract capacity, the contract value of the total power consumption of the user in the same time length as the daily power consumption predicted value can be obtained according to the contract capacity. If the daily power consumption predicted value is greater than a preset multiple of the total power consumption contract value, it can be determined that the meter is not charged after installation. The preset multiple can be determined by professional technicians according to the actual situation or historical data.

[0046] In an optional embodiment, whether the meter is not charged after installation is determined according to the daily power consumption predicted value, the time coefficient, and the contract capacity, including: determining the daily power consumption contract value according to the time coefficient and the contract capacity, and determining the ratio of the daily power consumption predicted value to the daily power consumption contract value; and determining whether the meter is not charged after installation according to the ratio threshold value and the ratio of the actual power consumption to the contract capacity.

[0047] When the time coefficient is the power consumption time length in a day, the multiplication of the time coefficient and the contract capacity can obtain the daily power consumption contract value. The ratio of the daily power consumption predicted value to the daily power consumption contract value is the ratio of the actual power consumption to the contract capacity.

[0048] The ratio threshold is a preset maximum value of the power ratio, and is used to determine whether the electric meter is not charged after installation according to the size relationship between the power ratio and the ratio threshold. Specifically, when the power ratio is greater than the ratio threshold, it can be determined that the electric meter is not charged after installation; when the power ratio is less than or equal to the ratio threshold, it can be determined that the electric meter is charged after installation. For example, the preset power ratio threshold is 1, and when the power ratio of the daily power consumption prediction value and the daily power consumption contract value is greater than 1, it is determined that the electric meter is not charged after installation, otherwise, it is determined that the electric meter is charged after installation. The ratio threshold can be determined by professional technicians according to historical data or experience, and the present application does not make specific limitations thereto.

[0049] By determining the daily power consumption contract value according to the time coefficient and the contract capacity, and determining the power ratio of the daily power consumption prediction value and the daily power consumption contract value, and determining whether the electric meter is not charged after installation according to the ratio threshold and the power ratio, the detection of whether the electric meter is not charged after installation is performed from the perspective of power consumption, avoiding missed detection, and improving the accuracy of detecting whether the electric meter is not charged after installation.

[0050] The judgment process in the above steps can be implemented based on the SQL programming tool of the data cloud platform.

[0051] During the installation of the electric meter, there may be a phenomenon that the user privately installs the electric meter in advance on site, or that the electric meter is installed in advance due to non-standard operation of the staff. In the case of installing the electric meter in advance, the line planning and electric meter installation on site have been completed, the power utilization engineering cannot pass the formal acceptance, the safety of power utilization on site cannot be guaranteed, and the marketing system does not establish the power utilization file, so the power consumption fee, basic power consumption fee and the like in this period cannot be settled. The traditional data analysis cannot accurately know the actual power utilization of the user, in addition, through manual on-site inspection, the efficiency is low and it is difficult to find problems.

[0052] The technical scheme of the embodiment obtains user basic information and charging index information from a charging inspection database; the user basic information includes power-on time, total active power, comprehensive multiplier and contract capacity, and the charging index information includes initial meter reading time and initial meter reading index; the charging inspection database stores all information about whether the meter is not charged after installation, so that automatic screening is realized through a structured query language programming tool; whether the meter is not charged after installation is determined according to a meter reading time difference between the initial meter reading time and the power-on time; the method is simple, the determination logic is simple, the efficiency is high, and the efficiency of detecting whether the meter is not charged after installation is improved; if not, a daily power consumption prediction value is determined according to the meter reading time difference, the initial meter reading index, the total active power and the comprehensive multiplier; whether the meter is not charged after installation is determined according to the daily power consumption prediction value, a time coefficient and the contract capacity; the theoretical value and the actual value of the power consumption corresponding to the meter reading time difference are compared to determine whether the meter is not charged after installation; the meter can be further screened by the power consumption to avoid missed detection, improve the accuracy of whether the meter is not charged after installation, and the entire process of detecting whether the meter is not charged after installation is automated, realizing intelligent detection of whether the meter is not charged after installation without manual checking, improving the checking efficiency.

[0053] Embodiment Two

[0054] Figure 2 A flowchart of a meter charging inspection method provided by Embodiment Two of the application, the technical scheme of the embodiment is further refined on the basis of the above technical scheme.

[0055] Further, the user basic information further includes a user type, and the step of “determining whether the meter is not charged after installation according to the daily power consumption prediction value and the contract capacity” is refined into “determining whether the user type is a high-voltage user; if yes, determining a high-voltage daily power consumption contract value according to a high-voltage time coefficient and the contract capacity, and determining a high-voltage power consumption ratio according to the daily power consumption prediction value and the high-voltage daily power consumption contract value; and determining whether the meter is not charged after installation according to a high-voltage ratio threshold and the high-voltage power consumption ratio”, so as to determine whether the meter is not charged after installation according to the user type.

[0056] Referring to the meter charging inspection method shown in Figure 2 The meter charging inspection method comprises the following steps.

[0057] S210, obtaining user basic information and charging index information from the charging checking database; the user basic information includes power-on time, total active power, comprehensive multiplier and contract capacity, and the charging index information includes initial meter reading time and initial meter reading index.

[0058] S220, judging whether the meter is not charged after installation according to the meter reading time difference between the initial meter reading time and the power-on time.

[0059] S230, if not, determining the daily electricity consumption prediction value according to the meter reading time difference, the initial meter reading index, the total active power and the comprehensive multiplier.

[0060] S240, judging whether the user type is a high-voltage user.

[0061] The user basic information further includes the user type, and the user type can include at least two types. The user type can be determined according to the user's work sheet at the time of installing the meter, and the user type is stored in the corresponding table in the charging checking database, and the user type is obtained from the charging checking database when judging whether the meter is not charged after installation.

[0062] The user type can be generally distinguished according to the connected power distribution network type and the electricity load. Different regions have different ways of dividing user types, for example, the user type can include super-high-voltage users, high-voltage users, medium-voltage users and low-voltage users, etc. In this application, in order to determine the corresponding time coefficient and the ratio threshold according to the electricity consumption law, the user type is divided into high-voltage users and low-voltage users. The high-voltage user can be a user connected to a high-voltage power distribution network, and the electricity load of the high-voltage user is usually large. For example, the high-voltage user can refer to a user receiving power with a voltage of 35kV (potential difference unit, kilovolt) or above. The high-voltage user is generally a large enterprise. The low-voltage user can be a user connected to a low-voltage power distribution network, and the electricity load of the low-voltage user is usually small, and the low-voltage user is generally a small enterprise and an individual, etc.

[0063] The electricity consumption characteristics of different user types are quite different, so it is necessary to judge the user type, and the corresponding time coefficient and ratio threshold can be determined according to the user type subsequently, each user type corresponds to different time coefficient and ratio threshold, and the accuracy of judging whether the meter is not charged after installation is improved.

[0064] S250, if yes, determining the high-voltage daily electricity consumption contract value according to the high-voltage time coefficient and the contract capacity, and determining the high-voltage electricity consumption ratio according to the daily electricity consumption prediction value and the high-voltage daily electricity consumption contract value.

[0065] If yes, that is, the user type is a high-voltage user. The high-voltage user can be a large industrial enterprise and a large commercial complex connected to a high-voltage power distribution network, etc. The daily electricity consumption and electricity consumption time of the high-voltage user are relatively fixed.

[0066] The high-voltage time coefficient can be a time coefficient corresponding to the high-voltage user. For example, the high-voltage time coefficient can be 24. The high-voltage time coefficient can be determined by a professional technical personnel based on historical data, through data analysis or experience, which is not specifically limited in the present application.

[0067] The high-voltage time coefficient and the contract capacity are multiplied to obtain a high-voltage daily power consumption contract value. The ratio of the daily power consumption prediction value to the high-voltage daily power consumption contract value is taken as a high-voltage power ratio.

[0068] S260, determining whether the electric meter is not charged after installation according to the high-voltage ratio threshold and the high-voltage power ratio.

[0069] Since the daily power consumption and the power consumption duration of the high-voltage user are relatively regular, the high-voltage ratio threshold can be a value close to 1. For example, the high-voltage ratio threshold can be 1. Specifically, the high-voltage ratio threshold can be determined by a professional technical personnel based on historical data, through data analysis or experience, which is not specifically limited in the present application. When the high-voltage power ratio is greater than the high-voltage ratio threshold, it is determined that the electric meter is not charged after installation, otherwise, it is determined that the electric meter is charged after installation.

[0070] In an optional embodiment, after determining whether the user type is a high-voltage user, it further includes: if not, determining a low-voltage daily power consumption contract value according to a low-voltage time coefficient and the contract capacity, and determining a low-voltage power ratio according to the daily power consumption prediction value and the low-voltage daily power consumption contract value; determining whether the electric meter is not charged after installation according to a low-voltage ratio threshold and the low-voltage power ratio.

[0071] If not, that is, the user type is a low-voltage user. The low-voltage user can be a personal household, a small shop, an office and other small power enterprises and individuals connected to a low-voltage distribution network in a power system. The power load of the low-voltage user is relatively small, but the daily power consumption duration and power consumption will fluctuate, even with a large jump.

[0072] The low-voltage time coefficient can be a time coefficient corresponding to the low-voltage user. For example, the low-voltage time coefficient can be 12. The low-voltage time coefficient can be determined by a professional technical personnel based on historical data, through data analysis or experience, which is not specifically limited in the present application.

[0073] The low-voltage time coefficient and the contract capacity are multiplied to obtain a low-voltage daily power consumption contract value. The ratio of the daily power consumption prediction value to the low-voltage daily power consumption contract value is taken as a low-voltage power ratio.

[0074] Since the daily power consumption and the power consumption time of the low-voltage user are fluctuant, the low-voltage ratio threshold value can be a value greater than 1. For example, the low-voltage ratio threshold value can be 1.3. Specifically, the low-voltage ratio threshold value can be determined by a professional technical personnel based on historical data, through data analysis or experience, and the present application does not make specific limitation thereto. When the low-voltage power consumption ratio is greater than the low-voltage ratio threshold value, it is determined that the electric meter is not charged after installation, otherwise, it is determined that the electric meter is charged after installation.

[0075] If yes, the low-voltage daily power consumption contract value is determined according to the low-voltage time coefficient and the contract capacity, and the low-voltage power consumption ratio is determined according to the daily power consumption prediction value and the low-voltage daily power consumption contract value; whether the electric meter is not charged after installation is determined according to the low-voltage ratio threshold value and the low-voltage power consumption ratio, and the corresponding low-voltage time coefficient and low-voltage ratio threshold value are determined according to the power consumption characteristics of the low-voltage user, thereby improving the accuracy of the judgment of whether the electric meter of the low-voltage user is not charged after installation.

[0076] The technical scheme of the embodiment, by judging whether the user type is a high-voltage user; if yes, the high-voltage daily power consumption contract value is determined according to the high-voltage time coefficient and the contract capacity, and the high-voltage power consumption ratio is determined according to the daily power consumption prediction value and the high-voltage daily power consumption contract value; whether the electric meter is not charged after installation is determined according to the high-voltage ratio threshold value and the high-voltage power consumption ratio, and the corresponding high-voltage time coefficient and high-voltage ratio threshold value are determined according to the power consumption characteristics of the high-voltage user, thereby improving the accuracy of the judgment of whether the electric meter of the high-voltage user is not charged after installation.

[0077] Embodiment three

[0078] Figure 3 The technical scheme of the embodiment provides a flowchart of an electric meter billing inspection method, and the technical scheme of the embodiment is further refined on the basis of the above technical scheme.

[0079] Further, before obtaining the user basic information and the billing indication information from the billing inspection database, the following is added: "monitoring the billing indication information in the metering automation system and the user basic information in the marketing system; when the billing indication information and / or the user basic information changes, adding the changed data to the corresponding table in the billing inspection database", so as to obtain the updated data in the billing inspection database.

[0080] Referring to Figure 3 The electric meter billing inspection method shown in the figure comprises the following steps:

[0081] S310, monitoring the billing indication information in the metering automation system and the user basic information in the marketing system.

[0082] The metering automation system and the marketing system are subsystems in the power system. A database in the metering automation system stores meter code reading data of an acquired electric energy meter and an acquisition time. A database of the marketing system stores a work sheet of a user. The work sheet type can include a low-voltage resident new installation work sheet, a low-voltage non-resident new installation work sheet, a low-voltage temporary power use work sheet, a large customer new installation work sheet, a high-voltage new installation work sheet, and a high-voltage temporary power use work sheet, etc. The work sheet information content includes a user number, a contract capacity, an electric energy meter asset number, a comprehensive multiple, a power supply time, and a meter code of an installation and removal entry link, etc.

[0083] Therefore, the billing reading information in the metering automation system and the user basic information in the marketing system can be monitored, and the latest data in the billing reading information and the user basic information can be obtained in time.

[0084] S320, when the billing reading information and / or the user basic information changes, the changed data is added to the corresponding table in the billing checking database.

[0085] When the billing reading information and / or the user basic information changes, for example, new user basic information or new billing reading information is added, the changed data is added to the corresponding table in the billing checking database, so that the billing checking database can obtain the corresponding data in time, and then provide data for subsequent judgment of whether the electric meter is not billed after installation, guarantee the timeliness of the check, and then process the user not billed in time, reduce the loss of not billing. By adding the changed data to the corresponding table in the billing checking database, all data can be directly searched through the billing checking database for subsequent judgment, without the need for the metering automation system and the marketing system to monitor the change of the related data, notify the data processing end of whether the electric meter is not billed after installation, and then access the databases in multiple systems one by one by the data processing end, thereby reducing the communication times between different databases and improving the efficiency of subsequent judgment.

[0086] In an optional embodiment, before the changed data is added to the corresponding table in the billing checking database, the method further includes: initializing the billing checking database, and creating a table corresponding to the metering table property of storing the billing reading information in the metering automation system, and a table corresponding to the basic information table property of storing the user basic information property in the marketing system.

[0087] The initialization database guarantees that the billing checking database does not have irrelevant data, and avoids interference of irrelevant data. By creating a table corresponding to a meter table property storing billing information in the metering automation system and a table corresponding to a basic information table property storing user basic information in the marketing system, data obtained from the metering automation system and the marketing system can be directly added to the corresponding table in the billing checking database, without data conversion, improving the efficiency of data acquisition, avoiding errors caused by data conversion, and improving the accuracy of subsequent judgment on whether the meter is not billed after installation.

[0088] S330, obtaining user basic information and billing information from the billing checking database; the user basic information includes power-on time, total active power, comprehensive multiplier and contract capacity, and the billing information includes initial meter reading time and initial meter reading value.

[0089] S340, judging whether the meter is not billed after installation according to the meter reading time difference between the initial meter reading time and the power-on time.

[0090] S350, if not, determining the daily electricity consumption prediction value according to the meter reading time difference, the initial meter reading value, the total active power and the comprehensive multiplier.

[0091] S360, determining whether the meter is not billed after installation according to the daily electricity consumption prediction value, the time coefficient and the contract capacity.

[0092] The technical scheme of the embodiment can actively detect data in the metering automation system and the marketing system by monitoring billing information in the metering automation system and user basic information in the marketing system, and timely obtain data changes, thereby improving the timeliness of obtaining user basic information and billing information; when the billing information and / or the user basic information changes, the changed data is added to the corresponding table in the billing checking database, which facilitates subsequent direct data acquisition from the billing checking database without communication with other systems, and improves the efficiency of subsequent judgment on whether the meter is not billed after installation.

[0093] Embodiment Four

[0094] Figure 4 The embodiment four provides a kind of electric meter billing checking device structure schematic diagram, the embodiment can be applicable to by analyzing the relevant table code data of user's electric meter, determine whether there is the case that electric meter is not billed after installation, configure in power system, the specific structure of this electric meter billing checking device is as follows:

[0095] The information acquisition module 410 is configured to obtain user basic information and billing information from the billing checking database; the user basic information includes power-on time, total active power, comprehensive multiplier and contract capacity, and the billing information includes initial meter reading time and initial meter reading value.

[0096] The uncharged time difference judgment module 420 is configured to judge whether the electric meter is uncharged after installation according to the meter reading time difference between the initial meter reading time and the power supply time.

[0097] The daily power consumption prediction value determination module 430 is configured to, if not, determine the daily power consumption prediction value according to the meter reading time difference, the initial meter reading number, the total active power and the comprehensive multiplier.

[0098] The uncharged power quantity judgment module 440 is configured to determine whether the electric meter is uncharged after installation according to the daily power consumption prediction value, the time coefficient and the contract capacity.

[0099] The technical scheme of the embodiment, by obtaining the user basic information and the charging number information from the charging inspection database; the user basic information includes the power supply time, the total active power, the comprehensive multiplier and the contract capacity, the charging number information includes the initial meter reading time and the initial meter reading number, the charging inspection database stores all the information for checking whether the electric meter is uncharged after installation, which is convenient for automatic screening through the structured query language programming tool; according to the meter reading time difference between the initial meter reading time and the power supply time, whether the electric meter is uncharged after installation is judged, the difference between the initial meter reading time and the power supply time is judged, the method is simple, the judgment logic is simple, the efficiency is high, and the efficiency of detecting whether the electric meter is uncharged after installation is improved; if not, the daily power consumption prediction value is determined according to the meter reading time difference, the initial meter reading number, the total active power and the comprehensive multiplier; whether the electric meter is uncharged after installation is determined according to the daily power consumption prediction value, the time coefficient and the contract capacity, the theoretical value and the actual value of the power consumption corresponding to the meter reading time difference are compared to judge whether the electric meter is uncharged after installation, which can be further screened through the power consumption, avoiding missed detection, improving the accuracy of whether the electric meter is uncharged after installation, and the whole process of detecting whether the electric meter is uncharged after installation is realized. Automatic, realizing the intelligent detection of whether the electric meter is uncharged after installation, without manual checking, improving the efficiency of checking. Therefore, through the technical scheme of the application, the problem of low efficiency of manual checking and inability to guarantee the accuracy of the checking result is solved, and the efficiency and accuracy of checking whether the electric meter is uncharged after installation are improved.

[0100] Optionally, the uncharged power quantity judgment module 440 comprises:

[0101] The power ratio determination unit is configured to determine the daily power consumption contract value according to the time coefficient and the contract capacity, and determine the power ratio of the daily power consumption prediction value and the daily power consumption contract value.

[0102] The uncharged judgment unit is configured to determine whether the electric meter is uncharged after installation according to the ratio threshold and the power ratio.

[0103] Optionally, the user basic information further comprises a user type;

[0104] Correspondingly, the uncharged electricity amount judging module 440 comprises:

[0105] a high-voltage user judging unit, configured to judge whether the user type is a high-voltage user;

[0106] a high-voltage electricity amount ratio determining unit, configured to, if yes, determine a high-voltage daily electricity amount contract value according to a high-voltage time coefficient and a contract capacity, and determine a high-voltage electricity amount ratio according to the daily electricity amount prediction value and the high-voltage daily electricity amount contract value;

[0107] a high-voltage user uncharged judging unit, configured to determine whether the electric meter is uncharged after installation according to a high-voltage ratio threshold and the high-voltage electricity amount ratio.

[0108] Optionally, the uncharged electricity amount judging module 440 further comprises:

[0109] a low-voltage electricity amount ratio determining unit, configured to, if no, determine a low-voltage daily electricity amount contract value according to a low-voltage time coefficient and the contract capacity, and determine a low-voltage electricity amount ratio according to the daily electricity amount prediction value and the low-voltage daily electricity amount contract value;

[0110] a low-voltage user uncharged judging unit, configured to determine whether the electric meter is uncharged after installation according to a low-voltage ratio threshold and the low-voltage electricity amount ratio.

[0111] Optionally, the electric meter charging inspection device further comprises:

[0112] a data monitoring module, configured to monitor charging display information in a metering automation system and user basic information in a marketing system;

[0113] a change data adding module, configured to add changed data to a corresponding table in the charging inspection database when the charging display information and / or the user basic information changes.

[0114] Optionally, the electric meter charging inspection device further comprises:

[0115] a charging inspection database establishing module, configured to initialize the charging inspection database, and create a table corresponding to a metering table property storing the charging display information in the metering automation system, and a table corresponding to a basic information table property storing a property of the user basic information in the marketing system.

[0116] The electric meter charging inspection device provided in the embodiments of the present application can execute the electric meter charging inspection method provided in any of the embodiments of the present application, and has the corresponding functional modules and beneficial effects of executing the electric meter charging inspection method.

[0117] Embodiment five

[0118] Figure 5 FIG. 5 is a structural schematic diagram of an electronic device according to an embodiment of the present application. Figure 5 As shown in FIG. 5, the electronic device includes a processor 510, a memory 520, an input device 530, and an output device 540; the number of processors 510 in the electronic device can be one or more, and in this embodiment, one processor 510 is taken as an example; the processor 510, the memory 520, the input device 530, and the output device 540 in the electronic device can be connected through a bus or other means, and in this embodiment, the connection through the bus is taken as an example. Figure 5 Figure 5 The processor 510 can be a general purpose processor, a single chip system, or a system including a plurality of chips. The processor 510 can be a central processing unit (CPU) or a microprocessor, and can be a single core processor or a multi-core processor.

[0119] The memory 520 can be a computer readable storage medium, and can be used to store software programs, computer executable programs, and modules, such as program instructions / modules (for example, the information acquisition module 410, the uncharged time difference judgment module 420, the daily power consumption prediction value determination module 430, and the uncharged power consumption judgment module 440) corresponding to the electric meter charging inspection method in the embodiments of the present application. The processor 510 executes various function applications and data processing of the electronic device by running the software programs, instructions, and modules stored in the memory 520, that is, implements the electric meter charging inspection method described above.

[0120] The memory 520 can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system and application programs required by at least one function; the data storage area can store data created according to the use of the terminal, etc. In addition, the memory 520 can include a high-speed random access memory, and can also include a non-volatile memory, such as at least one magnetic disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some examples, the memory 520 can further include a memory remotely arranged with respect to the processor 510, and these remote memories can be connected to the electronic device through a network. Examples of the above network include but are not limited to the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof.

[0121] The input device 530 can be used to receive input character information, and to generate key signal inputs related to user settings and function control of the electronic device. The output device 540 can include a display device such as a display screen.

[0122] According to the embodiments of the present application, the present application further provides an electronic device, a readable storage medium, and a computer program product.

[0123] Embodiment six

[0124] ​The embodiment six of the application further provides a storage medium comprising computer executable instructions, which are used for executing an electricity meter billing checking method when executed by a computer processor, and the method comprises the following steps: obtaining user basic information and billing display information from a billing checking database; the user basic information comprises power supply time, total active power, comprehensive multiplier and contract capacity, and the billing display information comprises initial meter reading time and initial meter reading display; determining whether the electricity meter is not billed after installation according to a meter reading time difference between the initial meter reading time and the power supply time; if not, determining a daily electricity consumption prediction value according to the meter reading time difference, the initial meter reading display, the total active power and the comprehensive multiplier; and determining whether the electricity meter is not billed after installation according to the daily electricity consumption prediction value, a time coefficient and the contract capacity.

[0125] Of course, the storage medium comprising computer executable instructions provided by the embodiment of the application is not limited to the method operations described above, and can also execute the related operations in the electricity meter billing checking method provided by any embodiment of the application.

[0126] Through the above description of the embodiments, those skilled in the art can clearly understand that the application can be realized by means of software and necessary general hardware, and of course can also be realized by hardware, but in many cases the former is a better embodiment. Based on such understanding, the technical solutions of the application can be embodied in the form of a software product, and the computer software product can be stored in a computer readable storage medium, such as a floppy disk, a read-only memory (ROM), a random access memory (RAM), a FLASH memory, a hard disk or an optical disk, and includes a number of instructions for making an electronic device (which can be a personal computer, a server, or a network device, etc.) execute the methods described in various embodiments of the application.

[0127] It is worth noting that in the above embodiment of the electricity meter billing checking device, each unit and module included is only divided according to the function logic, but is not limited to the above division, as long as the corresponding function can be realized; in addition, the specific name of each functional unit is only for easy mutual distinction, and does not limit the protection scope of the application.

[0128] It is to be noted that the above-mentioned embodiments illustrate rather than limit the application, and that those skilled in the art will be able to design many alternative embodiments without departing from the scope of the application. The word "comprising" does not exclude the presence of elements or steps other than those listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. It is further noted that characteristics relating to the different embodiments can be combined, and not just those within respective sections of the description.

Claims

1. An electricity metering checking method, characterized by, The method comprises the following steps: obtaining user basic information and charging index information from a charging checking database; the user basic information comprises power-on time, total active power, comprehensive multiplier and contract capacity, and the charging index information comprises initial meter reading time and initial meter reading index; judging whether the meter is not charged after installation according to the meter reading time difference between the initial meter reading time and the power-on time; if not, determining a daily power consumption prediction value according to the meter reading time difference, the initial meter reading index, the total active power and the comprehensive multiplier; determining whether the meter is not charged after installation according to the daily power consumption prediction value, a time coefficient and the contract capacity; the step of determining whether the meter is not charged after installation according to the daily power consumption prediction value, the time coefficient and the contract capacity comprises the following steps: determining a daily power consumption contract value according to the time coefficient and the contract capacity, and determining a power consumption ratio of the daily power consumption prediction value and the daily power consumption contract value; determining whether the meter is not charged after installation according to the ratio threshold and the power consumption ratio; the user basic information further comprises a user type; correspondingly, the step of determining whether the meter is not charged after installation according to the daily power consumption prediction value, the time coefficient and the contract capacity comprises the following steps: judging whether the user type is a high-voltage user; if yes, determining a high-voltage daily power consumption contract value according to a high-voltage time coefficient and the contract capacity, and determining a high-voltage power consumption ratio according to the daily power consumption prediction value and the high-voltage daily power consumption contract value; determining whether the meter is not charged after installation according to a high-voltage ratio threshold and the high-voltage power consumption ratio; after the step of judging whether the user type is a high-voltage user, the method further comprises the following steps: if not, determining a low-voltage daily power consumption contract value according to a low-voltage time coefficient and the contract capacity, and determining a low-voltage power consumption ratio according to the daily power consumption prediction value and the low-voltage daily power consumption contract value; determining whether the meter is not charged after installation according to a low-voltage ratio threshold and the low-voltage power consumption ratio.

2. The method of claim 1, wherein, before the step of obtaining user basic information and charging index information from a charging checking database, the method further comprises the following steps: monitoring the charging index information in a metering automation system and the user basic information in a marketing system; when the charging index information and / or the user basic information changes, adding the changed data to corresponding tables in the charging checking database.

3. The method of claim 2, wherein, before the step of adding the changed data to corresponding tables in the charging checking database, the method further comprises the following steps: initializing the charging checking database, and creating tables corresponding to meter table properties storing the charging index information in the metering automation system and basic information table properties storing user basic information properties in the marketing system.

4. An electricity metering checking device, characterized by The method comprises the following steps: an information obtaining module is configured to obtain user basic information and charging index information from a charging checking database; the user basic information comprises power-on time, total active power, comprehensive multiplier and contract capacity, and the charging index information comprises initial meter reading time and initial meter reading index; an uncharged time difference judging module is configured to judge whether the meter is not charged after installation according to the meter reading time difference between the initial meter reading time and the power-on time; The daily power consumption prediction value determination module is configured to determine a daily power consumption prediction value according to the meter reading time difference, the initial meter reading value, the total active power and the comprehensive multiplier if not. The uncharged power determination module is configured to determine whether the meter is uncharged after installation according to the daily power consumption prediction value, the time coefficient and the contract capacity. The uncharged power determination module includes: The power ratio determination unit is configured to determine a daily power consumption contract value according to the time coefficient and the contract capacity, and determine a power ratio of the daily power consumption prediction value and the daily power consumption contract value. The uncharged determination unit is configured to determine whether the meter is uncharged after installation according to the ratio threshold and the power ratio. The user basic information further includes a user type. Correspondingly, the uncharged power determination module includes: The high-voltage user determination unit is configured to determine whether the user type is a high-voltage user. The high-voltage power ratio determination unit is configured to determine a high-voltage daily power consumption contract value according to a high-voltage time coefficient and the contract capacity if yes, and determine a high-voltage power ratio according to the daily power consumption prediction value and the high-voltage daily power consumption contract value. The high-voltage user uncharged determination unit is configured to determine whether the meter is uncharged after installation according to a high-voltage ratio threshold and the high-voltage power ratio. The uncharged power determination module further includes: The low-voltage power ratio determination unit is configured to determine a low-voltage daily power consumption contract value according to a low-voltage time coefficient and the contract capacity if not, and determine a low-voltage power ratio according to the daily power consumption prediction value and the low-voltage daily power consumption contract value. The low-voltage user uncharged determination unit is configured to determine whether the meter is uncharged after installation according to a low-voltage ratio threshold and the low-voltage power ratio.

5. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor implements the meter charging inspection method according to any one of claims 1-3 when executing the program.

6. A computer-readable storage medium having stored thereon a computer program, characterized in that, The program is executed by the processor to implement the meter charging inspection method according to any one of claims 1-3.

7. A computer program product, characterised in that, The computer program product includes a computer program which, when executed by a processor, implements the meter charging inspection method according to any one of claims 1-3.

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