Electricity meter charging checking method and device, electronic equipment and storage medium

Abstract

The embodiment of the invention discloses an electricity meter charging checking method and device, electronic equipment and a storage medium. Acquiring user basic information and charging reading information from a charging check database; the user basic information comprises power transmission time, active total electric quantity, comprehensive multiplying power and contract capacity, and the charging reading information comprises initial meter reading time and initial meter reading; according to the meter reading time difference between the initial meter reading time and the power transmission time, judging whether the electricity meter is not charged after being installed; if not, determining a daily electricity consumption predicted value according to the meter reading time difference, the initial meter reading numerical value, the active total electric quantity and the comprehensive multiplying power; and according to the daily electricity consumption predicted value, the time coefficient and the contract capacity, determining whether the electricity meter is not charged after being installed. According to the embodiment of the invention, the efficiency and accuracy of checking whether the electricity meter is not charged after being installed are improved.

Description

Technical Field

[0001] The embodiments of the present application relate to data processing technology, and more particularly to an electricity meter billing inspection method, device, electronic device and storage medium. Background Art

[0002] During the meter installation process, after the line planning and meter installation are completed on site, the electricity project needs to pass the formal acceptance and the marketing system needs to establish the electricity usage file before the electricity cost can be calculated. If the user installs the meter in advance, the electricity cost for this period before the marketing system establishes the electricity usage file cannot be settled.

[0003] In the prior art, manual on-site inspection and verification are required to determine whether there is a situation where the electricity meter is installed but not charged after use.

[0004] However, manual verification is labor-intensive and inefficient, and the accuracy of the verification results cannot be guaranteed, which makes it easy for missed detections to occur. Summary of the invention

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

[0006] In a first aspect, an embodiment of the present application provides an electricity meter billing inspection method, the electricity meter billing inspection method comprising:

[0007] Obtain user basic information and billing indication information from the billing inspection database; the user basic information includes power supply time, total active power, comprehensive multiple and contract capacity, and the billing indication information includes initial meter reading time and initial meter reading number;

[0008] Based on the time difference between the initial meter reading time and the power supply time, determine whether the electricity meter has not been charged after installation;

[0009] If not, determine the daily power consumption forecast based on the meter reading time difference, initial meter reading value, total active power and comprehensive multiple;

[0010] Determine whether no charges are made after the electricity meter is installed based on the daily electricity consumption forecast, time coefficient and contract capacity.

[0011] In a second aspect, an embodiment of the present application further provides an electric meter billing inspection device, the electric meter billing inspection device comprising:

[0012] The information acquisition module is used to obtain basic user information and billing indication information from the billing inspection database; the basic user information includes power supply time, total active power, comprehensive multiple and contract capacity, and the billing indication information includes initial meter reading time and initial meter reading number;

[0013] An unbilled time difference judgment module is used to judge whether the meter has not been charged after installation based on the meter reading time difference between the initial meter reading time and the power supply time;

[0014] A daily power consumption prediction value determination module is used to determine the daily power consumption prediction value according to the meter reading time difference, the initial meter reading value, the total active power and the comprehensive multiple;

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

[0016] In a third aspect, an embodiment of the present application further provides an electronic device, the electronic device comprising:

[0017] one or more processors;

[0018] A 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 one of the electricity meter billing inspection methods provided in the embodiments of the present application.

[0020] In a fourth aspect, an embodiment of the present application further provides a storage medium comprising computer executable instructions, which, when executed by a computer processor, are used to execute any one of the electricity meter billing inspection methods provided in the embodiments of the present application.

[0021] The present application obtains user basic information and billing indication information from a billing inspection database; the user basic information includes power supply time, total active power, comprehensive multiple and contract capacity; the billing indication information includes initial meter reading time and initial meter reading number; the billing inspection database stores all information for checking whether the meter has not been billed after installation, so as to facilitate automatic screening through structured query language programming tools; according to the meter reading time difference between the initial meter reading time and the power supply time, it is judged whether the meter has not been billed after installation, and the judgment is made according to the difference between the initial meter reading time and the power supply time. The method is simple, the judgment logic is simple, the efficiency is high, and the detection of meter installation is improved. The efficiency of whether the meter is not billed after installation; if not, determine the daily power consumption forecast value according to the meter reading time difference, the initial meter reading number, the total active power and the comprehensive multiple; determine whether the meter is not billed after installation according to the daily power consumption forecast value, the time coefficient and the contract capacity, compare the theoretical value and the actual value of the power consumption corresponding to the meter reading time difference, and judge whether the meter is not billed after installation. Further screening can be performed through power consumption to avoid missed detection, improve the accuracy of whether the meter is not billed after installation, and the entire process of detecting whether the meter is not billed after installation is automated, realizing intelligent detection of whether the meter is not billed after installation, without the need for manual verification one by one, and improving the efficiency of verification. Therefore, the technical solution of the present application solves the problem of low efficiency of manual verification and inability to guarantee the accuracy of the verification results, and achieves the effect of improving the efficiency and accuracy of checking whether the meter is not billed after installation. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is a flow chart of an electricity meter billing inspection method in Embodiment 1 of the present application;

[0023] Figure 2 It is a flow chart of an electricity meter billing inspection method in Embodiment 2 of the present application;

[0024] Figure 3 It is a flow chart of an electricity meter billing inspection method in Embodiment 3 of the present application;

[0025] Figure 4 It is a structural schematic diagram of an electric meter billing inspection device in Embodiment 4 of the present application;

[0026] Figure 5 It is a structural diagram of an electronic device in Embodiment 5 of the present application. DETAILED DESCRIPTION

[0027] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0028] It should be noted that the terms "first" and "second" etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, 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 "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0029] Embodiment 1

[0030] Figure 1 A flow chart of an electricity meter billing inspection method provided in Example 1 of the present application. This embodiment can be used to determine whether there are any electricity meters that have not been billed after installation by analyzing the relevant meter code data of the user's electricity meter. The method can be executed by an electricity meter billing inspection device, which can be implemented using software and / or hardware and specifically configured in the power system.

[0031] See also Figure 1 The electricity 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 check database; the user basic information includes power supply time, total active power, comprehensive multiple and contract capacity, and the billing indication information includes initial meter reading time and initial meter reading number.

[0033] The basic user information may be information describing the basic parameters of the user and the electric meter installed by the user, which is used to determine whether the electric meter has not been charged after installation. Exemplarily, the basic user information may include the time of power transmission, total active power, comprehensive multiple and contract capacity. The time of power transmission may be the time of power transmission. The total active power is an indicator displayed by the electric meter, which can indicate the total amount of electric energy consumed by all the electric appliances of the user when they are working for a period of time. The comprehensive multiple may refer to the ratio of the electric energy meter constant to the transformer ratio, which can reflect the multiple relationship between the electric energy meter and the transformer, and can be used to determine the power consumption. The contract capacity may refer to the total capacity of the user's power receiving equipment permitted by the power supply department and in the power supply contract, which can be used to determine whether the electric meter has not been charged after installation in combination with the power consumption. For low-voltage users, the contract capacity may refer to the capacity of the power equipment allowed to be installed; for high-voltage users, the contract capacity may refer to the sum of the capacity of the transformer directly connected to the power receiving voltage line and the direct-matched high-voltage motor.

[0034] The billing indication information may be related information obtained when the electric meter installed by the user is billed, and is used to determine whether no billing has been performed after the electric meter is installed. Exemplarily, the billing indication information includes an initial meter reading time and an initial meter reading value. The initial meter reading time may be the time of the earliest meter reading value collected in the meter reading record. The initial meter reading value may be the earliest meter reading value collected in the meter reading record.

[0035] The billing inspection database may be a pre-established database for storing user basic information and billing indication information, and is used to obtain user basic information and billing indication information to determine whether the meter is not billed after installation. Multiple tables may be stored in the billing inspection database for storing corresponding information in user basic information and billing indication information. Multiple tables in the billing inspection database may be obtained from the database of the metering system and the database of the marketing system. Exemplarily, the original table containing the corresponding information of the user may be obtained from the metering system and the marketing system according to the user basic information and billing indication information to be obtained, and a table corresponding to the original table property obtained is created in the billing inspection database, and the corresponding data is stored in the created table, and the information in all tables may be associated through the user identifier. It should be noted that. The obtained user basic information and billing indication information both correspond to the user identifier, and the user identifier is the unique identifier of the user. The user basic information and billing indication information may be determined through the user identifier to determine whether the user basic information and billing indication information are for the same user. The subsequent judgment process of this application is based on the user basic information and billing indication information of the same user. The basic user information and billing indication information are stored in the billing check database, which facilitates the subsequent automation of the judgment process based on the Structured Query Language (SQL) programming tool.

[0036] S120: Determine whether no charges have been made after the installation of the electric meter based on 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 has not been charged after installation. In order to accurately obtain the user's electricity consumption data for billing, it is necessary to collect the meter reading before supplying electricity to the user who installed the meter, that is, to obtain the initial value of the meter when the user is not using electricity. In this way, after the user consumes electricity resources, the user's electricity consumption can be determined by the difference between the meter reading and the initial value.

[0038] Therefore, when the meter reading time difference is less than 0, the initial meter reading time of 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 the power is supplied for a period of time. Therefore, the meter reading time difference can be used to determine that no charges have been made after installation; when the meter reading time difference is greater than or equal to 0, the initial meter reading time of 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 during power supply. Therefore, the meter reading time difference can be used to determine that no charges have been made after installation.

[0039] S130: If not, determine the daily power consumption forecast value according to the meter reading time difference, the initial meter reading value, the total active power and the comprehensive multiple.

[0040] If not, that is, the meter reading time difference is greater than or equal to 0, it can be determined through the meter reading time difference that no charges have been made after installation. At this time, it is necessary to further determine whether no charges have been made after the installation of the meter based on relevant parameters of electricity consumption.

[0041] The daily electricity consumption forecast value can be the daily electricity consumption estimated based on the meter reading time difference, initial meter reading value, total active electricity and comprehensive multiple, which is used to determine whether the meter is not billed after installation based on the time coefficient and contract capacity. The initial meter reading value minus the total active electricity can get the indication difference, and the product of the indication difference and the comprehensive multiple is the actual electricity consumption. The meter reading time difference is the corresponding usage time of the actual electricity consumption. The unit of actual electricity consumption is day. The actual electricity consumption is divided by the meter reading time difference to get the daily electricity consumption forecast value.

[0042] S140: Determine whether no charges have been made after the electricity meter is installed based on the predicted daily electricity consumption, the time coefficient and the contract capacity.

[0043] The time coefficient may be a predicted value or average value representing the duration of electricity consumption of the user over a period of time, and is used as a coefficient of the contract capacity. For example, the time coefficient may be a predicted value or average value of the duration of electricity consumption of the user per hour, day, or week. In this application, the daily electricity consumption prediction value is determined based on the meter reading time difference, the initial meter reading number, the total active power, and the comprehensive multiple. Therefore, in order to be the same as the duration of electricity consumption corresponding to the daily electricity consumption prediction value, the time coefficient corresponds to the average value or predicted value of the duration of electricity consumption in a day. For example, the time coefficient may be 12. The duration of electricity consumption of users is generally relatively stable every day, so the time coefficient uses the duration of electricity consumption of users every day, which can improve the accuracy of determining whether the electricity meter is not billed after installation.

[0044] The contract capacity represents the total capacity of the user's power receiving equipment in the power supply and use contract, which is generally determined based on the power demand forecast for a certain period of time, plus a certain amount of spare capacity. When the ratio of actual power consumption to contract capacity is greater than 1 within the time period corresponding to the contract capacity, it means that the actual power consumption is greater than the contract capacity. Since the contract capacity has limited the total capacity of the user's power receiving equipment, the situation where the power ratio is greater than 1 is theoretically impossible. Therefore, the power ratio of actual power consumption to contract capacity within a unit time period can be used to determine whether the meter has not been billed after installation. When the power ratio of actual power consumption to contract capacity within a unit time period is greater than 1, it can be determined that the meter has not been billed after installation. In practice, since the user's power consumption time is not fixed, it is necessary to estimate it through the average value or predicted value within a certain time period. Therefore, the threshold of the power ratio used to determine whether the meter has not been billed after installation can be greater than 1.

[0045] By using the time coefficient as the coefficient of the contract capacity, the total contract value of the user's electricity consumption determined according to the contract capacity within the same time period as the daily electricity consumption forecast value can be obtained. If the daily electricity consumption forecast value is greater than the preset multiple of the total electricity consumption contract value, it can be determined that no charges have been made after the meter is installed. The preset multiple can be determined by professional technicians based on actual conditions or historical data.

[0046] In an optional embodiment, whether no charges are made after the installation of the electricity meter is determined based on the daily electricity consumption forecast value, the time coefficient and the contract capacity, including: determining the daily electricity consumption contract value based on the time coefficient and the contract capacity, and the electricity ratio of the daily electricity consumption forecast value to the daily electricity consumption contract value; determining whether no charges are made after the installation of the electricity meter based on the ratio threshold and the electricity ratio.

[0047] When the time coefficient is the duration of electricity consumption in a day, the multiplication of the time coefficient and the contract capacity can get the daily electricity consumption contract value. The ratio of the daily electricity consumption forecast value to the daily electricity consumption contract value is the electricity ratio.

[0048] The ratio threshold is the maximum value of the preset electricity ratio, and is used to determine whether no charges have been made after the electricity meter is installed, based on the relationship between the electricity ratio and the ratio threshold. Specifically, when the electricity ratio is greater than the ratio threshold, it can be determined that no charges have been made after the electricity meter is installed; when the electricity ratio is less than or equal to the ratio threshold, it can be determined that the electricity meter has been charged after installation. For example, the preset electricity ratio threshold is 1. When the electricity ratio between the daily electricity consumption forecast value and the daily electricity consumption contract value is greater than 1, it is determined that no charges have been made after the electricity meter has been installed; otherwise, it is determined that the electricity meter has been charged after installation. The ratio threshold can be determined by professional technicians based on historical data or experience, and this application does not make any specific restrictions on this.

[0049] By determining the daily electricity consumption contract value according to the time coefficient and the contract capacity, and the electricity ratio of the daily electricity consumption forecast value and the daily electricity consumption contract value; according to the ratio threshold and the electricity ratio, determine whether the electricity meter has not been charged after installation, and based on the daily electricity consumption contract value and the daily electricity consumption contract value of the electricity consumption, detect whether the electricity meter has not been charged after installation from the perspective of electricity consumption, avoid missed detection, and improve the accuracy of detecting whether the electricity meter has not been 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 meter, there may be users who secretly install the meter on site in advance, or the staff may install the meter in advance due to improper operation. In the case of pre-installation of the meter, the line planning and meter installation have been completed on site, the power project has not passed the formal acceptance, the safety of power use on site cannot be guaranteed, and the marketing system has not established a power use file. Therefore, the electricity charges and basic electricity charges during this period cannot be settled. Traditional data analysis cannot accurately obtain the actual power consumption of users. In addition, manual on-site inspections are inefficient and difficult to find problems.

[0052] The technical solution of this embodiment obtains user basic information and billing indication information from a billing inspection database; the user basic information includes power supply time, total active power, comprehensive multiple and contract capacity, and the billing indication information includes initial meter reading time and initial meter reading number. The billing inspection database stores all information for checking whether the meter has not been billed after installation, which is convenient for automatic screening through structured query language programming tools; according to the meter reading time difference between the initial meter reading time and the power supply time, it is judged whether the meter has not been billed after installation, and the judgment is made according to the difference between the initial meter reading time and the power supply time. The method is simple, the judgment logic is simple, the efficiency is high, and the detection is improved. The efficiency of measuring whether the meter is not billed after installation; if not, determine the daily power consumption forecast value according to the meter reading time difference, initial meter reading number, total active power and comprehensive multiple; determine whether the meter is not billed after installation according to the daily power consumption forecast value, time coefficient and contract capacity, compare the theoretical value and actual value of power consumption corresponding to the meter reading time difference, and judge whether the meter is not billed after installation. Further screening can be performed through power consumption to avoid missed detection, improve the accuracy of whether the meter is not billed after installation, and the entire process of detecting whether the meter is not billed after installation is automated, and realizes intelligent detection of whether the meter is not billed after installation, without manual verification one by one, and improves the efficiency of verification. Therefore, the technical solution of the present application solves the problem of low efficiency and inability to guarantee the accuracy of verification results through manual verification, and achieves the effect of improving the efficiency and accuracy of checking whether the meter is not billed after installation.

[0053] Embodiment 2

[0054] Figure 2 This is a flow chart of an electricity meter billing inspection method provided in Example 2 of the present application. The technical solution of this embodiment is further refined on the basis of the above technical solution.

[0055] Furthermore, the basic user information also includes the user type, and the "determine whether no charges are made after the electricity meter is installed based on the daily electricity consumption forecast and the contract capacity" is refined into: "determine whether the user type is a high-voltage user; if so, determine the high-voltage daily electricity consumption contract value based on the high-voltage time coefficient and the contract capacity, and determine the high-voltage electricity ratio based on the daily electricity consumption forecast and the high-voltage daily electricity consumption contract value; determine whether no charges are made after the electricity meter is installed based on the high-voltage ratio threshold and the high-voltage electricity ratio" to determine whether no charges are made after the electricity meter is installed based on the user type.

[0056] See also Figure 2 A method for checking electricity meter billing is shown, comprising:

[0057] S210, obtaining user basic information and billing indication information from a billing check database; the user basic information includes power supply time, total active power, comprehensive multiple and contract capacity, and the billing indication information includes initial meter reading time and initial meter reading number.

[0058] S220: Determine whether no charges have been made after the installation of the electric meter based on the meter reading time difference between the initial meter reading time and the power supply time.

[0059] S230: If not, determine the daily power consumption forecast value according to the meter reading time difference, the initial meter reading value, the total active power and the comprehensive multiple.

[0060] S240: Determine whether the user type is a high-voltage user.

[0061] The user basic information also includes the user type, which may include at least two types. The user type may be determined based on the user's work order when the user installs the meter, and the user type is stored in a corresponding table in the billing check database. When determining whether the meter is not billed after installation, the user type is obtained from the billing check database.

[0062] User types can generally be distinguished according to the type of distribution network connected and the power load. Different regions have different ways of dividing user types. For example, user types may include: ultra-high voltage users, high voltage users, medium voltage users, and low voltage users. In this application, in order to determine the corresponding time coefficient and ratio threshold according to the law of electricity consumption, user types are divided into high voltage users and low voltage users. High voltage users may be users connected to a high voltage distribution network, and the power load of high voltage users is usually large. For example, high voltage users may refer to users who receive electricity at 35kV (potential difference unit, kilovolts) and above. High voltage users are generally large enterprises. Low voltage users may be users connected to a low voltage distribution network, and the power load of low voltage users is usually small. Low voltage users are generally small enterprises and individuals.

[0063] There are significant differences in the electricity consumption characteristics of different user types, so it is necessary to judge the user type. Subsequently, the corresponding time coefficient and ratio threshold can be determined based on the user type. Each user type corresponds to a different time coefficient and ratio threshold, which improves the accuracy of judging whether charges have not been made after the electricity meter is installed.

[0064] S250: If yes, determine the high-voltage daily electricity consumption contract value according to the high-voltage time coefficient and the contract capacity, and determine the high-voltage electricity ratio according to the daily electricity consumption forecast value and the high-voltage daily electricity consumption contract value.

[0065] If yes, the user type is a high-voltage user. High-voltage users can be large-scale corporate users such as large industrial enterprises and large commercial complexes connected to the high-voltage distribution network. The daily power consumption and power consumption duration of high-voltage users are relatively fixed.

[0066] The high-voltage time coefficient may be a time coefficient corresponding to a high-voltage user. For example, the high-voltage time coefficient may be 24. The high-voltage time coefficient may be determined by professional technicians based on historical data, through data analysis or experience, and this application does not specifically limit this.

[0067] Multiply the high-voltage time coefficient and the contract capacity to obtain the high-voltage daily power consumption contract value. The ratio of the daily power consumption forecast value to the high-voltage daily power consumption contract value is used as the high-voltage power ratio.

[0068] S260: Determine whether no charges are made after the electricity meter is installed based on the high voltage ratio threshold and the high voltage power ratio.

[0069] Since the daily electricity consumption and duration of electricity consumption of high-voltage users are relatively regular, the high-voltage ratio threshold can be a value closer to 1. For example, the high-voltage ratio threshold can be 1. Specifically, the high-voltage ratio threshold can be determined by professional technicians based on historical data, through data analysis or experience, and this application does not make specific limitations on this. When the high-voltage electricity ratio is greater than the high-voltage ratio threshold, it is determined that the electricity meter is not billed after installation, otherwise, it is determined that the electricity meter is billed after installation.

[0070] In an optional embodiment, after determining whether the user type is a high-voltage user, it also includes: if not, determining the low-voltage daily electricity consumption contract value based on the low-voltage time coefficient and the contract capacity, and determining the low-voltage electricity ratio based on the daily electricity consumption forecast value and the low-voltage daily electricity consumption contract value; based on the low-voltage ratio threshold and the low-voltage electricity ratio, determining whether no charges have been made after the electricity meter is installed.

[0071] If not, the user type is a low-voltage user. Low-voltage users can be small electricity-consuming enterprises and individuals such as individual households, small shops, offices, etc. connected to the low-voltage distribution network in the power system. The power load of low-voltage users is relatively small, but the daily power consumption time and power consumption will fluctuate, or even jump greatly.

[0072] The low-voltage time coefficient may be a time coefficient corresponding to a low-voltage user. For example, the low-voltage time coefficient may be 12. The low-voltage time coefficient may be determined by professional technicians based on historical data, through data analysis or experience, and this application does not specifically limit this.

[0073] Multiply the low voltage time coefficient and the contract capacity to obtain the low voltage daily electricity consumption contract value. The ratio of the daily electricity consumption forecast value and the low voltage daily electricity consumption contract value is used as the low voltage electricity ratio.

[0074] Since the daily power consumption and power consumption duration of low-voltage users may fluctuate, the low-voltage ratio threshold may be a value greater than 1. For example, the low-voltage ratio threshold may be 1.3. Specifically, the low-voltage ratio threshold may be determined by professional technicians based on historical data, through data analysis or experience, and this application does not make specific limitations on this. When the low-voltage power ratio is greater than the low-voltage ratio threshold, it is determined that no charges are made after the meter is installed; otherwise, it is determined that the meter is installed and charged.

[0075] If not, determine the low-voltage daily electricity consumption contract value according to the low-voltage time coefficient and the contract capacity, and determine the low-voltage electricity ratio according to the daily electricity consumption forecast value and the low-voltage daily electricity consumption contract value; determine whether the meter has not been charged after installation based on the low-voltage ratio threshold and the low-voltage electricity ratio, and determine the corresponding low-voltage time coefficient and low-voltage ratio threshold based on the electricity consumption characteristics of the low-voltage user, so as to improve the accuracy of judging whether the low-voltage user's electricity meter has not been charged after installation.

[0076] The technical solution of this embodiment is to determine whether the user type is a high-voltage user; if so, determine the high-voltage daily electricity consumption contract value according to the high-voltage time coefficient and the contract capacity, and determine the high-voltage electricity ratio according to the daily electricity consumption forecast value and the high-voltage daily electricity consumption contract value; determine whether no charges have been made after the installation of the meter based on the high-voltage ratio threshold and the high-voltage electricity ratio, and determine the corresponding high-voltage time coefficient and high-voltage ratio threshold based on the electricity consumption characteristics of the high-voltage user, so as to improve the accuracy of judging whether the high-voltage user's electricity meter has not been charged after installation.

[0077] Embodiment 3

[0078] Figure 3 This is a flow chart of an electricity meter billing inspection method provided in Example 3 of the present application. The technical solution of this embodiment is further refined on the basis of the above technical solution.

[0079] Furthermore, before obtaining the user basic information and billing indication information from the billing inspection database, add "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, add the changed data to the corresponding table in the billing inspection database" to obtain the updated data in the billing inspection database.

[0080] See also Figure 3 A method for checking electricity meter billing is shown, comprising:

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

[0082] The metering automation system and the marketing system are subsystems in the power system. The database in the metering automation system stores the meter code indication data and collection time of the collected electric energy meter. The database of the marketing system stores the user's work order. The work order types can include low-voltage residential new installation work order, low-voltage non-residential new installation work order, low-voltage temporary power work order, large customer new installation work order, high-voltage new installation work order and high-voltage temporary power work order. The work order information content includes user number, contract capacity, electric energy meter asset number, comprehensive multiple, power supply time and meter code of the installation and disassembly entry link.

[0083] Therefore, the billing indication information in the metering automation system and the user basic information in the marketing system can be monitored, and the latest billing indication information and data in the user basic information can be obtained in a timely manner.

[0084] S320: When the billing indication information and / or the user basic information changes, the changed data is added to the corresponding table in the billing check database.

[0085] When the billing indication information and / or user basic information changes, for example, when new user basic information or new billing indication information is added, the changed data is added to the corresponding table in the billing inspection database, so that the billing inspection database can obtain the corresponding data in a timely manner, and then provide data for the subsequent judgment of whether the electricity meter has not been billed after installation, to ensure the timeliness of the inspection, and then deal with the unbilled users in a timely manner, and reduce the unbilled losses. By adding the changed data to the corresponding table in the billing inspection database, it is convenient to directly search for all data through the billing inspection database for subsequent judgments, and there is no need for the metering automation system and the marketing system to detect the relevant data changes themselves, and then notify the data processing end of whether the electricity meter has not been billed after installation, and then the data processing end accesses the databases in multiple systems one by one, reducing the number of communications between different databases and improving the efficiency of subsequent judgments.

[0086] In an optional embodiment, before adding the changed data to the corresponding table in the billing check database, it also includes: initializing the billing check database, and creating a table corresponding to the properties of the metering table storing billing indication information in the metering automation system, and a table corresponding to the properties of the basic information table storing user basic information in the marketing system.

[0087] Initializing the database ensures that there is no irrelevant data in the billing inspection database, avoiding interference from irrelevant data. By creating a table corresponding to the nature of the metering table that stores billing indication information in the metering automation system, and a table corresponding to the nature of the basic information table that stores basic user information in the marketing system, the data obtained from the metering automation system and the marketing system can be directly added to the corresponding table in the billing inspection database without the need for data conversion, thereby improving the efficiency of data acquisition, avoiding errors caused by data conversion, and improving the accuracy of subsequent judgments on whether the meter has not been billed after installation.

[0088] S330, obtaining user basic information and billing indication information from the billing check database; the user basic information includes power supply time, total active power, comprehensive multiple and contract capacity, and the billing indication information includes initial meter reading time and initial meter reading number.

[0089] S340: Determine whether no charges have been made after the installation of the electric meter based on the meter reading time difference between the initial meter reading time and the power supply time.

[0090] S350: If not, determine the daily power consumption forecast value based on the meter reading time difference, the initial meter reading value, the total active power and the comprehensive multiple.

[0091] S360. Determine whether no charges are made after the electricity meter is installed based on the predicted daily electricity consumption, the time coefficient and the contract capacity.

[0092] The technical solution of this embodiment actively detects the data in the metering automation system and the marketing system, obtains data changes in a timely manner, and improves the timeliness of obtaining user basic information and billing indication information by 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, the changed data is added to the corresponding table in the billing inspection database, so as to facilitate the subsequent direct acquisition of data from the billing inspection database without the need to communicate with other systems, thereby improving the efficiency of subsequent judgment on whether no billing has been charged after the installation of the meter.

[0093] Embodiment 4

[0094] Figure 4 The figure shows a schematic diagram of the structure of an electric meter billing inspection device provided in the fourth embodiment of the present application. This embodiment can be applied to determine whether there is a situation where the electric meter is not billed after installation by analyzing the relevant meter code data of the user's electric meter. The specific structure of the electric meter billing inspection device is as follows:

[0095] The information acquisition module 410 is used to obtain user basic information and billing indication information from the billing inspection database; the user basic information includes power supply time, total active power, comprehensive multiple and contract capacity, and the billing indication information includes initial meter reading time and initial meter reading number;

[0096] The unbilled time difference determination module 420 is used to determine whether the electricity meter has not been charged after installation based on 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 used to determine the daily power consumption prediction value according to the meter reading time difference, the initial meter reading value, the total active power and the comprehensive multiple if no;

[0098] The unbilled electricity quantity determination module 440 is used to determine whether the electricity meter has not been billed after installation based on the daily electricity consumption forecast value, time coefficient and contract capacity.

[0099] The technical solution of this embodiment obtains user basic information and billing indication information from a billing inspection database; the user basic information includes power supply time, total active power, comprehensive multiple and contract capacity, and the billing indication information includes initial meter reading time and initial meter reading number. The billing inspection database stores all information for checking whether the meter has not been billed after installation, which is convenient for automatic screening through structured query language programming tools; according to the meter reading time difference between the initial meter reading time and the power supply time, it is judged whether the meter has not been billed after installation, and the judgment is made according to the difference between the initial meter reading time and the power supply time. The method is simple, the judgment logic is simple, the efficiency is high, and the detection is improved. The efficiency of measuring whether the meter is not billed after installation; if not, determine the daily power consumption forecast value according to the meter reading time difference, initial meter reading number, total active power and comprehensive multiple; determine whether the meter is not billed after installation according to the daily power consumption forecast value, time coefficient and contract capacity, compare the theoretical value and actual value of power consumption corresponding to the meter reading time difference, and judge whether the meter is not billed after installation. Further screening can be performed through power consumption to avoid missed detection, improve the accuracy of whether the meter is not billed after installation, and the entire process of detecting whether the meter is not billed after installation is automated, and realizes intelligent detection of whether the meter is not billed after installation, without manual verification one by one, and improves the efficiency of verification. Therefore, the technical solution of the present application solves the problem of low efficiency and inability to guarantee the accuracy of verification results through manual verification, and achieves the effect of improving the efficiency and accuracy of checking whether the meter is not billed after installation.

[0100] Optionally, the unbilled electricity quantity determination module 440 includes:

[0101] An electricity ratio determination unit is used to determine the daily electricity consumption contract value according to the time coefficient and the contract capacity, and the electricity ratio between the daily electricity consumption forecast value and the daily electricity consumption contract value;

[0102] The non-billed judgment unit is used to determine whether the electricity meter has not been charged after installation according to the ratio threshold and the electricity quantity ratio.

[0103] Optionally, the basic user information also includes the user type;

[0104] Correspondingly, the unbilled electricity quantity determination module 440 includes:

[0105] A high-voltage user determination unit, used to determine whether the user type is a high-voltage user;

[0106] a high-voltage electricity ratio determination unit, for 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 ratio according to the daily electricity consumption forecast value and the high-voltage daily electricity consumption contract value;

[0107] The high-voltage user unbilled judgment unit is used to determine whether the electricity meter has not been charged after installation based on the high-voltage ratio threshold and the high-voltage power ratio.

[0108] Optionally, the unbilled electricity quantity determination module 440 further includes:

[0109] A low-voltage electricity ratio determination unit is used to determine the low-voltage daily electricity contract value according to the low-voltage time coefficient and the contract capacity if no, and to determine the low-voltage electricity ratio according to the daily electricity forecast value and the low-voltage daily electricity contract value;

[0110] The low-voltage user unbilled judgment unit is used to determine whether the electricity meter has not been charged after installation based on the low-voltage ratio threshold and the low-voltage electricity ratio.

[0111] Optionally, the electricity meter billing inspection device further includes:

[0112] Data monitoring module, used to monitor the billing information in the metering automation system and the basic user information in the marketing system;

[0113] The changed data adding module is used to add the changed data to the corresponding table in the billing inspection database when the billing indication information and / or the user basic information changes.

[0114] Optionally, the electricity meter billing inspection device further includes:

[0115] The billing check database establishment module is used to initialize the billing check database and create a table corresponding to the nature of the metering table storing billing indication information in the metering automation system, and a table corresponding to the nature of the basic information table storing user basic information in the marketing system.

[0116] The electricity meter billing inspection device provided in the embodiment of the present application can execute the electricity meter billing inspection method provided in any embodiment of the present application, and has the corresponding functional modules and beneficial effects for executing the electricity meter billing inspection method.

[0117] Embodiment 5

[0118] Figure 5 A schematic diagram of the structure of an electronic device provided in Embodiment 5 of the present application is shown in FIG. Figure 5 As shown, the electronic device includes a processor 510, a memory 520, an input device 530, and an output device 540; the number of the processor 510 in the electronic device can be one or more. Figure 5 A 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 via a bus or other means. Figure 5 The example of connecting through bus is taken in the following.

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

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

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

[0122] According to an embodiment of the present invention, the present invention also provides an electronic device, a readable storage medium and a computer program product.

[0123] Embodiment 6

[0124] Embodiment 6 of the present application also provides a storage medium containing computer executable instructions, which are used to execute a meter billing inspection method when executed by a computer processor, the method comprising: obtaining user basic information and billing indication information from a billing inspection database; the user basic information includes power supply time, total active power, comprehensive multiple and contract capacity, and the billing indication information includes initial meter reading time and initial meter reading number; judging whether no billing has been made after the installation of the meter based on the meter reading time difference between the initial meter reading time and the power supply time; if not, determining a daily power consumption forecast value based on the meter reading time difference, the initial meter reading number, the total active power and the comprehensive multiple; determining whether no billing has been made after the installation of the meter based on the daily power consumption forecast value, the time coefficient and the contract capacity.

[0125] Of course, the storage medium containing computer executable instructions provided in the embodiment of the present application, whose computer executable instructions are not limited to the method operations described above, can also execute related operations in the electricity meter billing inspection method provided in any embodiment of the present application.

[0126] Through the above description of the implementation method, the technicians in the relevant field can clearly understand that the present application can be implemented with the help of software and necessary general hardware, and of course it can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present application can be essentially or the part that contributes to the prior art 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 computer floppy disk, read-only memory (ROM), random access memory (RAM), flash memory (FLASH), hard disk or optical disk, etc., including a number of instructions for an electronic device (which can be a personal computer, server, or network device, etc.) to execute the methods described in each embodiment of the present application.

[0127] It is worth noting that in the embodiment of the above-mentioned electricity meter billing inspection device, the various units and modules included are only divided according to functional logic, but are not limited to the above-mentioned division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application.

[0128] Note that the above are only preferred embodiments of the present application and the technical principles used. Those skilled in the art will understand that the present application is not limited to the specific embodiments described herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the scope of protection of the present application. Therefore, although the present application is described in more detail through the above embodiments, the present application is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present application, and the scope of the present application is determined by the scope of the appended claims.

Claims

1. A method for checking electricity meter billing, characterized in that: include: Obtaining user basic information and billing indication information from a billing inspection database; the user basic information includes power supply time, total active power, comprehensive multiple and contract capacity, and the billing indication information includes initial meter reading time and initial meter reading number; Based on the time difference between the initial meter reading time and the power supply time, determine whether the electricity meter has not been charged after installation; If not, determine the daily power consumption forecast value according to the meter reading time difference, the initial meter reading value, the total active power and the comprehensive multiple; It is determined whether no charges have been made after the electricity meter is installed based on the predicted daily electricity consumption value, the time coefficient and the contract capacity.

2. The method according to claim 1, characterized in that The determining whether no charges have been made after the electric meter is installed according to the daily power consumption forecast value, the time coefficient and the contract capacity includes: Determine the daily electricity consumption contract value according to the time coefficient and the contract capacity, and the electricity ratio between the daily electricity consumption forecast value and the daily electricity consumption contract value; It is determined whether no charges are made after the electricity meter is installed according to the ratio threshold and the electricity quantity ratio.

3. The method according to claim 1, characterized in that The user basic information also includes user type; Accordingly, determining whether no charges are made after the electricity meter is installed according to the daily electricity consumption forecast value, the time coefficient and the contract capacity includes: Determining whether the user type is a high-voltage user; If yes, the high-voltage daily electricity consumption contract value is determined according to the high-voltage time coefficient and the contract capacity, and the high-voltage electricity ratio is determined according to the daily electricity consumption forecast value and the high-voltage daily electricity consumption contract value; According to the high voltage ratio threshold and the high voltage power ratio, it is determined whether no charges are made after the electricity meter is installed.

4. The method according to claim 3, characterized in that After determining whether the user type is a high-voltage user, the method further includes: If not, the low-voltage daily electricity consumption contract value is determined according to the low-voltage time coefficient and the contract capacity, and the low-voltage electricity ratio is determined according to the daily electricity consumption forecast value and the low-voltage daily electricity consumption contract value; According to the low-voltage ratio threshold and the low-voltage power ratio, it is determined whether no charges have been made after the electricity meter is installed.

5. The method according to claim 1, characterized in that: Before acquiring the user basic information and the billing indication information from the billing inspection database, the method further includes: Monitoring the billing 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, the changed data is added to a corresponding table in the billing inspection database.

6. The method according to claim 5, characterized in that Before adding the changed data to the corresponding table in the billing inspection database, the method further includes: Initialize the billing check database, and create a table corresponding to the nature of the metering table storing the billing indication information in the metering automation system, and a table corresponding to the nature of the basic information table storing the user basic information in the marketing system.

7. An electric meter billing inspection device, characterized in that: include: An information acquisition module is used to acquire user basic information and billing indication information from a billing inspection database; the user basic information includes power transmission time, total active power, comprehensive multiple and contract capacity, and the billing indication information includes initial meter reading time and initial meter reading number; An unbilled time difference judgment module is used to judge whether the meter has not been charged after installation based on the meter reading time difference between the initial meter reading time and the power supply time; A daily power consumption prediction value determination module, for determining the daily power consumption prediction value according to the meter reading time difference, the initial meter reading value, the total active power and the comprehensive multiple; The unbilled electricity quantity determination module is used to determine whether the electricity meter has not been billed after installation according to the daily electricity consumption forecast value, the time coefficient and the contract capacity.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the electricity meter billing inspection method as described in any one of claims 1-6 is implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the electricity meter billing inspection method as described in any one of claims 1 to 6 is implemented.

10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the computer program implements the electricity meter billing inspection method according to any one of claims 1 to 6.

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