Fee control task setting method and device for low-voltage user, equipment and medium

Abstract

The invention relates to the technical field of power systems, and discloses a cost control task setting method for low-voltage users, which comprises the following steps of: searching an electric meter in a station area of a concentrator, constructing a meter searching task, and acquiring electric meter parameters stored in the concentrator to obtain electric meter parameter data; analyzing the parameter data of the electric meter through the model, and extracting normal data in the data; setting an interrogation task through a user file and normal data; calling an identity authentication interface through the ammeter parameters, constructing an identity authentication message according to a ciphertext returned by the interface, and sending the identity authentication message and the ammeter interrogation task to the ammeter; generating an execution instruction according to the information returned by the electricity meter, and issuing the execution instruction; and acquiring interrogation data for executing the electric meter interrogation task, comparing the interrogation data with the historical data, and adjusting the cost control standard of the electric meter. The invention further provides a cost control task setting device and equipment for the low-voltage user and a storage medium. The cost control management level of the power system can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power systems, and in particular to a method, device, equipment and medium for setting fee control tasks for low-voltage users. Background Art

[0002] With the evolution and development of new power systems and the increase in installed capacity of new energy sources, due to the instability of new energy sources, it is necessary to increase the peak-valley electricity price difference to guide energy storage to promote the consumption of new energy power generation, narrow the peak-valley difference of the power grid, and guide users to use electricity in an orderly manner. Therefore, electricity price fluctuations will become more and more frequent, so as to reflect the value of electricity in different time and space. With the adjustment of national electricity prices, the power grid also needs to adjust the rate period of existing fee-controlled meters. Since a large number of meters have been installed on site, the method of removing the meters and returning them to the station cannot be handled.

[0003] At this time, the use of user fee control can improve the electricity fee recovery rate, optimize the electricity fee management process, and reduce the losses caused by users' arrears of electricity fees. It can effectively realize remote and comprehensive control of electricity fees, eliminate electricity theft, improve electricity fee recovery rate, reduce the economic risk of power companies' power marketing, and provide power users with better and more efficient services. However, the existing user fee control methods have a small coverage range, and the adjustment accuracy and security are relatively low, and there is a risk of data leakage. Summary of the invention

[0004] The present invention provides a method, device, equipment and medium for setting fee control tasks for low-voltage users, the main purpose of which is to improve the fee control management level of the power system.

[0005] To achieve the above object, the present invention provides a method for setting fee control tasks for low-voltage users, comprising:

[0006] Searching for electric meters in the area of ​​the concentrator based on a preset user fee control instruction, constructing a meter search task, and collecting electric meter parameters stored in the concentrator through the meter search task to obtain electric meter parameter data;

[0007] Analyzing the meter parameter data by using a preset data analysis model, and extracting normal data from the meter parameter data;

[0008] Setting a call test task for the electric meter by using a preset full low-voltage user profile and the normal data to obtain the electric meter call test task;

[0009] Calling the identity authentication interface through the meter parameter data, constructing an identity authentication message according to the ciphertext returned by the identity authentication interface, and sending the identity authentication message and the meter call task to the meter;

[0010] generating an execution instruction according to the identity authentication information returned by the electric meter, and sending the execution instruction to the electric meter;

[0011] Acquire the call test data of the electric meter performing the electric meter call test task, compare the call test data with the historical data in the electric meter parameter data based on a preset time zone period, and adjust the fee control standard of the electric meter.

[0012] Optionally, searching for electric meters in the substation of the concentrator based on a preset user fee control instruction, constructing a meter search task, and collecting electric meter parameters stored in the concentrator through the meter search task to obtain electric meter parameter data, includes:

[0013] Acquire a metering automation system based on the user fee control instruction, and search for electric meters within the area of ​​the concentrator through the metering automation system to construct a meter search task;

[0014] The meter search task controls whether the concentrator searches the meter and the duration of the search, and collects the meter parameters stored in each meter in the concentrator to obtain the meter parameter data.

[0015] Optionally, setting a call test task for the electric meter by using the preset full low-voltage user profile and the normal data to obtain the electric meter call test task includes:

[0016] Integrate the full amount of low-voltage user files and the normal data to obtain a data set for task setting;

[0017] According to the number of the electric meters and the system processing capacity, the data set is divided into a plurality of batches to obtain a plurality of batches of data subsets;

[0018] The plurality of batches of data subsets are matched one-to-one with the electric meters, and a setting task for the daily time period data is generated through the electric meters of the current batch, thereby obtaining a daily time period setting task;

[0019] Based on the preset annual time zone adjustment target, an annual time zone setting task is generated through the current batch of electric meters, and the time zone setting of the electric meters is updated;

[0020] Based on the preset electricity price policy, a rate period setting task is generated through the current batch of electricity meters, and necessary parameters are configured for the call test task to obtain configuration parameters;

[0021] According to the configuration parameters, the electric meter call task is generated by using the daily time period setting task, the annual time zone setting task and the rate period.

[0022] Optionally, analyzing the electric meter parameter data by using a preset data analysis model and extracting normal data from the electric meter parameter data includes:

[0023] Obtaining the determination range and standard of the meter parameter data, and querying the data type of the meter parameter data to obtain the meter parameter type;

[0024] Based on the meter parameter type, the data analysis model is called using the determination range and standard to analyze the meter parameter data, and abnormal data and normal data in the meter parameter data are extracted.

[0025] Optionally, constructing an identity authentication message according to the ciphertext returned by the identity authentication interface, and sending the identity authentication message and the meter call task to the meter includes:

[0026] Based on the identity authentication interface, relevant information of the electric meter is collected to obtain relevant information of the electric meter;

[0027] The ciphertext and the meter-related information are used to construct a message according to a preset format requirement to obtain the identity authentication message, and the identity authentication message and the meter call task are sent to the meter.

[0028] Optionally, after sending the identity authentication message and the meter test calling task to the meter, the method further includes:

[0029] Using the electric meter to receive the identity authentication message and decode it to obtain a decoded message;

[0030] Verifying the validity of the decoded message through the electric meter to obtain a verification result, and determining whether to respond to the electric meter test call task according to the verification result;

[0031] If it is decided to respond to the meter call task according to the verification result, the meter call task is executed through the meter, the current power consumption and status data are read, and the call data is obtained;

[0032] The call test data is sent to a metering automation system obtained according to the user fee control instruction.

[0033] Optionally, after generating the meter call task according to the configuration parameters by using the daily time period setting task, the annual time zone setting task and the rate period, the method further includes:

[0034] The meter call task is sent to the corresponding meter through a preset fair scheduling algorithm and a concentrator, and the execution status of the meter is monitored;

[0035] The test data returned by the electric meter are collected, the test data are verified to obtain a verification result, and the test data and the verification result are stored in a preset database.

[0036] In order to solve the above problems, the present invention also provides a fee control task setting device for low-voltage users, the device comprising:

[0037] A normal data extraction module is used to search for electric meters in the substation of the concentrator based on a preset user fee control instruction, construct a meter search task, and collect the electric meter parameters stored in the concentrator through the meter search task to obtain electric meter parameter data; analyze the electric meter parameter data through a preset data analysis model, and extract normal data from the electric meter parameter data;

[0038] A call test task construction module, used to set a call test task for the electric meter through a preset full amount of low-voltage user files and the normal data, so as to obtain the electric meter call test task;

[0039] An execution instruction sending module is used to call the identity authentication interface through the meter parameter data, construct an identity authentication message according to the ciphertext returned by the identity authentication interface, and send the identity authentication message and the meter call task to the meter; generate an execution instruction according to the identity authentication information returned by the meter, and send the execution instruction to the meter;

[0040] The fee control standard adjustment module is used to obtain the call test data of the electric meter when executing the electric meter call test task, and compare the call test data with the historical data in the electric meter parameter data based on a preset time zone period to adjust the fee control standard of the electric meter.

[0041] In order to solve the above problem, the present invention further provides an electronic device, the electronic device comprising:

[0042] at least one processor; and,

[0043] a memory communicatively connected to the at least one processor; wherein,

[0044] The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the fee control task setting method for low-voltage users as described above.

[0045] In order to solve the above problems, the present invention also provides a computer-readable storage medium, including a data storage area and a program storage area, the data storage area stores created data, and the program storage area stores a computer program; wherein, when the computer program is executed by a processor, the fee control task setting method for low-voltage users as described above is implemented.

[0046] The embodiment of the present invention searches for electric meters in the area of ​​the concentrator, constructs a table search task, and collects the electric meter parameters stored in the concentrator to obtain the electric meter parameter data; analyzes the electric meter parameter data through a model, and extracts normal data from the data; sets a call task through user files and normal data; calls the identity authentication interface through the electric meter parameters, and constructs an identity authentication message according to the ciphertext returned by the interface, and sends the identity authentication message and the electric meter call task to the electric meter; generates an execution instruction according to the information returned by the electric meter, and issues the execution instruction; obtains the call data for executing the electric meter call task, and compares the call data with the historical data to adjust the fee control standard of the electric meter. Therefore, the fee control task setting method, device, electronic device and computer-readable storage medium proposed by the present invention for low-voltage users obtain normal data from the electric meter by constructing a table search task, and constructs a call task based on normal data and user files. After the identity authentication of the electric meter is passed, the call data obtained by the electric meter executing the call task is obtained, and the existing fee control standard is adjusted according to the call data and historical data, so as to achieve precise regulation of the existing fee control standard and improve the fee control management level of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 A flowchart of a method for setting fee control tasks for low-voltage users provided in one embodiment of the present invention;

[0048] Figure 2 A schematic diagram of a module of a device for setting fee control tasks for low-voltage users provided in one embodiment of the present invention;

[0049] Figure 3 A schematic diagram of the internal structure of an electronic device for implementing a method for setting fee control tasks for low-voltage users provided in one embodiment of the present invention.

[0050] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0051] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0052] The embodiment of the present application provides a method for setting fee control tasks for low-voltage users. The execution subject of the fee control task setting method for low-voltage users includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided in the embodiment of the present application. Among them, the server can be an independent server, or it can be a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (Content Delivery Network, CDN), and big data and artificial intelligence platforms. In other words, the fee control task setting method for low-voltage users can be executed by software or hardware installed on a remote device or a server device, and the software can be a blockchain platform. The server is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc.

[0053] Reference Figure 1 FIG. 1 is a flow chart of a method for setting fee control tasks for low-voltage users provided in an embodiment of the present invention. In this embodiment, the method for setting fee control tasks for low-voltage users includes the following steps S1-S6:

[0054] S1. Searching for electric meters in the substation of the concentrator based on a preset user fee control instruction, constructing a meter search task, and collecting electric meter parameters stored in the concentrator through the meter search task to obtain electric meter parameter data.

[0055] In an embodiment of the present invention, the user fee control instruction refers to a notification and instruction by the power supplier to manage the user's electricity usage behavior and payment of electricity fees, which may include electricity fee adjustment, electricity usage restrictions, prepayment reminders, payment characteristics and other measures, aiming to optimize the allocation of power resources, ensure the stability of the power grid, and at the same time guide users to use electricity reasonably and effectively control electricity bill expenditures.

[0056] In the embodiment of the present invention, the concentrator can also be called a field concentrator, which is the central management device and control device of the remote centralized exceeding standard system in the power grid, responsible for functions such as regular reading of terminal data, system command transmission, data communication, network management, event recording, and horizontal transmission of data.

[0057] The substation in the concentrator usually refers to an area in the power supply network, which is powered by one or more transformers and serves a certain number of users. The concentrator is the central node for substation power management, responsible for the centralized control and management of the electric meters in the substation. Through the concentrator, unified scheduling, data collection and fee control management of all electric meters in the substation can be achieved, improving the efficiency and intelligence level of power management.

[0058] In detail, the electric meter is an electric meter corresponding to a low-voltage user.

[0059] Furthermore, the method of searching the electric meter in the station area of ​​the concentrator based on the preset user fee control instruction, constructing a meter search task, and collecting the electric meter parameters stored in the concentrator through the meter search task to obtain the electric meter parameter data includes:

[0060] Acquire a metering automation system based on the user fee control instruction, and search for electric meters within the area of ​​the concentrator through the metering automation system to construct a meter search task;

[0061] The meter search task controls whether the concentrator searches the meter and the duration of the search, and collects the meter parameters stored in each meter in the concentrator to obtain the meter parameter data.

[0062] In the embodiment of the present invention, the metering automation system is a highly integrated intelligent platform in the power grid, which uses advanced information technology and automation technology to achieve efficient and accurate calibration of electric energy meters, real-time operation monitoring, and high-frequency collection and big data analysis of electricity consumption information, thereby improving the accuracy and efficiency of electricity metering, ensuring the fairness and reliability of electricity supply, and supporting electricity market reform and the development of new power systems.

[0063] Furthermore, after searching for the electric meter, the concentrator can read and store relevant parameter information from the electric meter, such as the reading, status, rate setting, etc. of the electric meter.

[0064] Further, the controlling of whether the concentrator searches the table and the duration of the table search through the table search task includes:

[0065] The timer switch of the concentrator is controlled by the table search task, and the table search switch setting task of the substation is generated. The table search switch setting task is used to control whether to search the table and the duration of the table search.

[0066] In the embodiment of the present invention, a switch task is generated to determine whether to search the table and the duration of the table search.

[0067] S2. Analyze the meter parameter data using a preset data analysis model, and extract normal data from the meter parameter data.

[0068] In an embodiment of the present invention, the normal data in the electric meter refers to data points that are within the expected or standard range, indicating that the electric meter is operating normally without obvious errors or problems. The normal data is usually consistent with the technical specifications of the electric meter, historical reading trends, and data of other electric meters under similar conditions. These data can be used for normal business processes such as billing, electricity consumption analysis, and power grid management.

[0069] In addition, there are abnormal data in the meter parameter data. The abnormal data refers to data points that are significantly inconsistent with expected or standard values, which may indicate problems or errors. Abnormal data may be caused by various reasons, such as meter failure, communication errors, external interference, data entry errors, etc.

[0070] Further, analyzing the electric meter parameter data by a preset data analysis model and extracting normal data from the electric meter parameter data includes:

[0071] Obtaining the determination range and standard of the meter parameter data, and querying the data type of the meter parameter data to obtain the meter parameter type;

[0072] Based on the meter parameter type, the data analysis model is called using the determination range and standard to analyze the meter parameter data, and abnormal data and normal data in the meter parameter data are extracted.

[0073] In the embodiment of the present invention, the analysis result of the data analysis model is called by sending an instruction after providing necessary parameters, which is used for cost control settings and time calibration raw data.

[0074] In the embodiment of the present invention, if the model used is a machine learning model, a portion of historical data must be obtained for training so that it can identify normal and abnormal meter parameter patterns.

[0075] Furthermore, the machine learning algorithm may include cluster analysis, regression analysis, time series analysis or other algorithms for anomaly detection, such as isolation forest, One-Class SVM, etc.

[0076] In the embodiment of the present invention, specific types of models include but are not limited to statistical models, machine learning models and time series classification models, wherein the regression model is used to detect outliers in the data.

[0077] Furthermore, before calling the data analysis model to analyze the meter parameter data based on the meter parameter type and using the determination range and standard, the method further includes:

[0078] Cleaning and formatting the electric meter parameter data to obtain cleaned electric meter data;

[0079] Features or variables that are helpful for abnormality detection are selected from the cleaning meter data, and the cleaning meter data are labeled to obtain labeled meter data.

[0080] S3. Setting a call test task for the electric meter using the preset full low-voltage user profile and the normal data to obtain the electric meter call test task.

[0081] In an embodiment of the present invention, the full low-voltage user profile refers to a collection of detailed electricity usage information of all low-voltage users maintained by the power company, covering the user's basic information, account details, meter data, electricity usage records, rate settings, service history, etc., providing the power company with basic information for customer service, data analysis, billing management and power grid optimization.

[0082] In an embodiment of the present invention, the meter call task refers to a series of instructions initiated by the power company through the automation system, which is used to read or monitor the status and data of the meter in real time, including but not limited to the current reading of the meter, daily power consumption, annual time zone settings, and rate period configuration, etc., to ensure the accuracy and timeliness of the meter numbers.

[0083] In addition, by constructing the meter call task, the operating status of the meter is also monitored at the same time, supporting the efficient management of the power grid and the reasonable billing of users' electricity consumption.

[0084] Further, the setting of the call test task for the electric meter by using the preset full low-voltage user profile and the normal data to obtain the electric meter call test task includes:

[0085] Integrate the full amount of low-voltage user files and the normal data to obtain a data set for task setting;

[0086] According to the number of the electric meters and the system processing capacity, the data set is divided into a plurality of batches to obtain a plurality of batches of data subsets;

[0087] The plurality of batches of data subsets are matched one-to-one with the electric meters, and a setting task for the daily time period data is generated through the electric meters of the current batch, thereby obtaining a daily time period setting task;

[0088] Based on the preset annual time zone adjustment target, an annual time zone setting task is generated through the current batch of electric meters, and the time zone setting of the electric meters is updated;

[0089] Based on the preset electricity price policy, a rate period setting task is generated through the current batch of electricity meters, and necessary parameters are configured for the call test task to obtain configuration parameters;

[0090] According to the configuration parameters, the electric meter call task is generated by using the daily time period setting task, the annual time zone setting task and the rate period.

[0091] In an embodiment of the present invention, by generating a setting task for daily time period data and a setting task for annual time zone, electricity prices and electricity usage rules for different time periods can be defined. By generating a rate period task, different electricity price standards can be implemented in different time periods to reflect the demand and cost of electricity in different time periods, and the power consumption of the power system can be adjusted through electricity prices.

[0092] In the embodiment of the present invention, the annual time zone adjustment target refers to a target for adapting to seasonal changes or policy adjustments.

[0093] Furthermore, after generating the meter call task according to the configuration parameters by using the daily time period setting task, the annual time zone setting task and the rate period, the method further includes:

[0094] The meter call task is sent to the corresponding meter through a preset fair scheduling algorithm and a concentrator, and the execution status of the meter is monitored;

[0095] The test data returned by the electric meter are collected, the test data are verified to obtain a verification result, and the test data and the verification result are stored in a preset database.

[0096] Furthermore, by verifying the test data, obtaining the verification results, and storing them in a preset database, the integrity and accuracy of the data can be ensured.

[0097] In another embodiment of the present invention, when the meter call test task is issued, the starvation problem or the fleet effect problem can be solved through a polling algorithm (RoundRobin), and the meters of low-voltage users in the substation are polled in sequence, so that the meters of the terminals all obtain fair task distribution, reducing the risk of excessive delays or downtime of the terminal.

[0098] S4. Calling the identity authentication interface through the meter parameter data, constructing an identity authentication message according to the ciphertext returned by the identity authentication interface, and sending the identity authentication message and the meter call task to the meter.

[0099] In the embodiment of the present invention, an identity authentication message is constructed by calling the ciphertext returned by the identity authentication interface and sent to the electric meter to ensure secure communication between the electric meter and the power system, realize remote verification and control, and ensure the security and accuracy of the data.

[0100] Furthermore, the purpose of authenticating the meter call task is to ensure the security of communication, the integrity of data and the compliance of operations, prevent unauthorized access and potential malicious operations, and thus ensure the stable and reliable operation of the power grid.

[0101] In an embodiment of the present invention, the assembly of identity authentication is to integrate key authentication information into a unified format or data packet, which not only ensures the completeness and integrity of the data transmission process, but also improves processing efficiency, simplifies the communication process, and facilitates system compatibility and subsequent record auditing.

[0102] Further, constructing an identity authentication message according to the ciphertext returned by the identity authentication interface, and sending the identity authentication message and the meter call task to the meter, includes:

[0103] Based on the identity authentication interface, relevant information of the electric meter is collected to obtain relevant information of the electric meter;

[0104] The ciphertext and the meter-related information are used to construct a message according to a preset format requirement to obtain the identity authentication message, and the identity authentication message and the meter call task are sent to the meter.

[0105] In the embodiment of the present invention, after the identity authentication message is obtained, the format and content of the identity authentication message may be verified to ensure that it meets the requirements of the electric meter.

[0106] Furthermore, after sending the identity authentication message and the meter test calling task to the meter, the method further includes:

[0107] Using the electric meter to receive the identity authentication message and decode it to obtain a decoded message;

[0108] Verifying the validity of the decoded message through the electric meter to obtain a verification result, and determining whether to respond to the electric meter test call task according to the verification result;

[0109] If it is decided to respond to the meter call task according to the verification result, the meter call task is executed through the meter, the current power consumption and status data are read, and the call data is obtained;

[0110] The call test data is sent to a metering automation system obtained according to the user fee control instruction.

[0111] In the embodiment of the present invention, the ciphertext includes not only the ciphertext but also possible random numbers.

[0112] S5. Generate an execution instruction according to the identity authentication information returned by the electricity meter, and send the execution instruction to the electricity meter.

[0113] In the embodiment of the present invention, the process of sending the execution instruction to the electric meter needs to assemble the ciphertext and MAC to obtain the 645 instruction, and then send it to the electric meter.

[0114] Among them, MAC stands for Message Authentication Code, which is a short message used to verify the integrity and source of a message. It is usually sent together with the message. The receiver can use the sender's key to verify the integrity and authenticity of the message. MAC can prevent the message from being tampered with during transmission and ensure that the message is indeed sent by the claimed sender. The 645 instruction follows the DL / T645-2007 protocol and is used for remote monitoring and control of power system automation equipment.

[0115] Furthermore, the execution instruction is sent to the electric meter to obtain the result of the electric meter call task, which can be achieved through the main station, ensuring the security of communication between the electric meter and the main station and the integrity of the instruction. At the same time, the main station is allowed to send control instructions to the electric meter to remotely update parameters or configurations, thereby enhancing the safety and reliability of the entire power system.

[0116] In an embodiment of the present invention, the master station call parameters are key configuration and operation data required for the interaction between the master station and the substation in the automation control system, including communication settings, access rights, control commands, time synchronization, new energy indicators, safety measures, log records, and exception handling rules, etc. These parameters together ensure the accuracy, security and efficiency of system communication.

[0117] S6. Acquire the call test data of the electric meter when executing the electric meter call test task, compare the call test data with the historical data in the electric meter parameter data based on a preset time zone period, and adjust the fee control standard of the electric meter.

[0118] In the embodiment of the present invention, the above operation can identify and supplement the data that is not correctly recorded or omitted, ensuring the data integrity and accuracy of all electricity meters. This process helps to improve the operating efficiency of the power grid, ensure the fairness of billing, and promptly discover and solve problems in the collection process.

[0119] The test call data is compared with historical data in the meter parameter data based on a preset time zone period, and the most recent success or failure data can be selected as the test result.

[0120] The embodiment of the present invention searches for electric meters in the area of ​​the concentrator, constructs a table search task, and collects the electric meter parameters stored in the concentrator to obtain the electric meter parameter data; analyzes the electric meter parameter data through a model, and extracts normal data from the data; sets a call task through user files and normal data; calls the identity authentication interface through the electric meter parameters, and constructs an identity authentication message according to the ciphertext returned by the interface, and sends the identity authentication message and the electric meter call task to the electric meter; generates an execution instruction according to the information returned by the electric meter, and issues the execution instruction; obtains the call data for executing the electric meter call task, and compares the call data with the historical data to adjust the fee control standard of the electric meter. Therefore, the fee control task setting method, device, electronic device and computer-readable storage medium proposed by the present invention for low-voltage users obtain normal data from the electric meter by constructing a table search task, and constructs a call task based on normal data and user files. After the identity authentication of the electric meter is passed, the call data obtained by the electric meter executing the call task is obtained, and the existing fee control standard is adjusted according to the call data and historical data, so as to achieve precise regulation of the existing fee control standard and improve the fee control management level of the power system.

[0121] like Figure 2 The figure shows a module diagram of a fee control task setting device for low-voltage users of the present invention.

[0122] The fee control task setting device 100 for low-voltage users of the present invention can be installed in an electronic device. According to the functions to be implemented, the fee control task setting device for low-voltage users may include a normal data extraction module 101, a call test task construction module 102, an execution instruction issuing module 103, and a fee control standard adjustment module 104. The module of the present invention can also be referred to as a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0123] In this embodiment, the functions of each module / unit are as follows:

[0124] The normal data extraction module 101 is used to search for electric meters in the station area of ​​the concentrator based on the preset user fee control instruction, construct a meter search task, and collect the electric meter parameters stored in the concentrator through the meter search task to obtain electric meter parameter data; analyze the electric meter parameter data through a preset data analysis model, and extract normal data from the electric meter parameter data;

[0125] A call test task construction module 102 is used to set a call test task for the electric meter through a preset full low-voltage user profile and the normal data to obtain the electric meter call test task;

[0126] The execution instruction sending module 103 is used to call the identity authentication interface through the meter parameter data, construct the identity authentication message according to the ciphertext returned by the identity authentication interface, and send the identity authentication message and the meter call task to the meter; generate an execution instruction according to the identity authentication information returned by the meter, and send the execution instruction to the meter;

[0127] The fee control standard adjustment module 104 is used to obtain the call test data of the electric meter performing the electric meter call test task, and compare the call test data with the historical data in the electric meter parameter data based on a preset time zone period to adjust the fee control standard of the electric meter.

[0128] In detail, each module described in the fee control task setting device 100 for low-voltage users in the embodiment of the present invention is used in the same manner as described above. Figure 1 The technical means used in setting the fee control task for low-voltage users are the same and can produce the same technical effects, so they will not be repeated here.

[0129] like Figure 3 , which is a schematic diagram of the structure of an electronic device for implementing a method for setting fee control tasks for low-voltage users according to the present invention.

[0130] The electronic device may include a processor 10, a memory 11, a communication bus 12 and a communication interface 13, and may also include a computer program stored in the memory 11 and executable on the processor 10, such as a fee control task setting program for low-voltage users.

[0131] The processor 10 may be composed of an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or a plurality of integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and combinations of various control chips. The processor 10 is the control core (ControlUnit) of the electronic device, and uses various interfaces and lines to connect various components of the entire electronic device, and executes or executes programs or modules stored in the memory 11 (for example, executing a fee control task setting program for low-voltage users, etc.), and calls data stored in the memory 11 to execute various functions of the electronic device and process data.

[0132] The memory 11 includes at least one type of readable storage medium, and the readable storage medium includes a flash memory, a mobile hard disk, a multimedia card, a card-type memory (for example, an SD or DX memory, etc.), a magnetic memory, a disk, an optical disk, etc. In some embodiments, the memory 11 may be an internal storage unit of an electronic device, such as a mobile hard disk of the electronic device. In other embodiments, the memory 11 may also be an external storage device of an electronic device, such as a plug-in mobile hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device. Further, the memory 11 may also include both an internal storage unit of the electronic device and an external storage device. The memory 11 can not only be used to store application software and various types of data installed in the electronic device, such as the code of the fee control task setting program of a low-voltage user, but also can be used to temporarily store data that has been output or is to be output.

[0133] The communication bus 12 may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is configured to realize connection and communication between the memory 11 and at least one processor 10, etc.

[0134] The communication interface 13 is used for communication between the above-mentioned electronic device and other devices, including a network interface and a user interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device and other electronic devices. The user interface may be a display (Display), an input unit (such as a keyboard (Keyboard)), and optionally, the user interface may also be a standard wired interface, a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode, organic light-emitting diode) touch device, etc. Among them, the display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device and to display a visual user interface.

[0135] Figure 3 Only an electronic device with components is shown, and those skilled in the art will understand that Figure 3The structure shown does not constitute a limitation on the electronic device, and may include fewer or more components than shown in the figure, or combine certain components, or arrange the components differently.

[0136] For example, although not shown, the electronic device may also include a power source (such as a battery) for supplying power to each component. Preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that the power management device can realize functions such as charging management, discharging management, and power consumption management. The power source may also include one or more DC or AC power sources, recharging devices, power failure detection circuits, power converters or inverters, power status indicators, and other arbitrary components. The electronic device may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

[0137] It should be understood that the embodiment is for illustration only and the scope of the patent application is not limited to this structure.

[0138] The fee control task setting program for low-voltage users stored in the memory 11 in the electronic device is a combination of multiple computer programs. When running in the processor 10, it can achieve:

[0139] Searching for electric meters in the area of ​​the concentrator based on a preset user fee control instruction, constructing a meter search task, and collecting electric meter parameters stored in the concentrator through the meter search task to obtain electric meter parameter data;

[0140] Analyzing the meter parameter data by using a preset data analysis model, and extracting normal data from the meter parameter data;

[0141] Setting a call test task for the electric meter by using a preset full low-voltage user profile and the normal data to obtain the electric meter call test task;

[0142] Calling the identity authentication interface through the meter parameter data, constructing an identity authentication message according to the ciphertext returned by the identity authentication interface, and sending the identity authentication message and the meter call task to the meter;

[0143] generating an execution instruction according to the identity authentication information returned by the electric meter, and sending the execution instruction to the electric meter;

[0144] Acquire the call test data of the electric meter performing the electric meter call test task, compare the call test data with the historical data in the electric meter parameter data based on a preset time zone period, and adjust the fee control standard of the electric meter.

[0145] Specifically, the specific implementation method of the processor 10 for the above computer program can refer to Figure 1The description of the relevant steps in the corresponding embodiments will not be repeated here.

[0146] Furthermore, if the module / unit integrated in the electronic device is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a non-volatile computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).

[0147] The present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor of an electronic device, the computer program can implement:

[0148] Searching for electric meters in the area of ​​the concentrator based on a preset user fee control instruction, constructing a meter search task, and collecting electric meter parameters stored in the concentrator through the meter search task to obtain electric meter parameter data;

[0149] Analyzing the meter parameter data by using a preset data analysis model, and extracting normal data from the meter parameter data;

[0150] Setting a call test task for the electric meter by using a preset full low-voltage user profile and the normal data to obtain the electric meter call test task;

[0151] Calling the identity authentication interface through the meter parameter data, constructing an identity authentication message according to the ciphertext returned by the identity authentication interface, and sending the identity authentication message and the meter call task to the meter;

[0152] generating an execution instruction according to the identity authentication information returned by the electric meter, and sending the execution instruction to the electric meter;

[0153] Acquire the call test data of the electric meter performing the electric meter call test task, compare the call test data with the historical data in the electric meter parameter data based on a preset time zone period, and adjust the fee control standard of the electric meter.

[0154] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, apparatuses and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation.

[0155] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0156] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0157] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0158] Therefore, no matter from which point of view, the embodiments should be regarded as illustrative and non-restrictive, and the scope of the present invention is limited by the appended claims rather than the above description, so it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims are included in the present invention. Any attached figure mark in the claims should not be regarded as limiting the claims involved.

[0159] The blockchain referred to in this invention is a new application mode of computer technologies such as distributed data storage, peer-to-peer transmission, consensus mechanism, encryption algorithm, etc. Blockchain is essentially a decentralized database, a string of data blocks generated by cryptographic methods. Each data block contains a batch of network transaction information, which is used to verify the validity of its information (anti-counterfeiting) and generate the next block. Blockchain can include the underlying blockchain platform, platform product service layer, and application service layer.

[0160] The embodiments of the present application can acquire and process relevant data based on artificial intelligence technology. Among them, artificial intelligence (AI) is the theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results.

[0161] In addition, it is clear that the word "comprising" does not exclude other units or steps, and the singular does not exclude the plural. Multiple units or devices stated in the system claim can also be implemented by one unit or device through software or hardware. The second and other words are used to indicate names, but not to indicate any particular order.

[0162] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A method for setting fee control tasks for low-voltage users, characterized in that: The method comprises: Searching for electric meters in the area of ​​the concentrator based on a preset user fee control instruction, constructing a meter search task, and collecting electric meter parameters stored in the concentrator through the meter search task to obtain electric meter parameter data; Analyze the meter parameter data by using a preset data analysis model, and extract normal data from the meter parameter data; Setting a call test task for the electric meter by using a preset full low-voltage user profile and the normal data to obtain the electric meter call test task; Calling the identity authentication interface through the meter parameter data, constructing an identity authentication message according to the ciphertext returned by the identity authentication interface, and sending the identity authentication message and the meter call task to the meter; generating an execution instruction according to the identity authentication information returned by the electric meter, and sending the execution instruction to the electric meter; Acquire the call test data of the electric meter performing the electric meter call test task, compare the call test data with the historical data in the electric meter parameter data based on a preset time zone period, and adjust the fee control standard of the electric meter.

2. The method for setting fee control tasks for low-voltage users according to claim 1, characterized in that: The method of searching the electric meter in the station area of ​​the concentrator based on the preset user fee control instruction, constructing a meter search task, and collecting the electric meter parameters stored in the concentrator through the meter search task to obtain the electric meter parameter data includes: Acquire a metering automation system based on the user fee control instruction, and search for electric meters within the area of ​​the concentrator through the metering automation system to construct a meter search task; The meter search task controls whether the concentrator searches the meter and the duration of the search, and collects the meter parameters stored in each meter in the concentrator to obtain the meter parameter data.

3. The method for setting fee control tasks for low-voltage users according to claim 1, characterized in that: The step of setting a call test task for the electric meter by using the preset full low-voltage user profile and the normal data to obtain the electric meter call test task includes: Integrate the full amount of low-voltage user files and the normal data to obtain a data set for task setting; According to the number of the electric meters and the system processing capacity, the data set is divided into a plurality of batches to obtain a plurality of batches of data subsets; The plurality of batches of data subsets are matched one-to-one with the electric meters, and a setting task for the daily time period data is generated through the electric meters of the current batch, thereby obtaining a daily time period setting task; Based on the preset annual time zone adjustment target, an annual time zone setting task is generated through the current batch of electric meters, and the time zone settings of the electric meters are updated; Based on the preset electricity price policy, a rate period setting task is generated through the current batch of electricity meters, and necessary parameters are configured for the call test task to obtain configuration parameters; According to the configuration parameters, the electric meter call task is generated by using the daily time period setting task, the annual time zone setting task and the rate period.

4. The method for setting fee control tasks for low-voltage users according to claim 1, characterized in that: The analyzing the electric meter parameter data by using a preset data analysis model and extracting normal data from the electric meter parameter data includes: Obtaining the determination range and standard of the meter parameter data, and querying the data type of the meter parameter data to obtain the meter parameter type; Based on the meter parameter type, the data analysis model is called using the determination range and standard to analyze the meter parameter data, and abnormal data and normal data in the meter parameter data are extracted.

5. The method for setting fee control tasks for low-voltage users according to claim 1, characterized in that: The step of constructing an identity authentication message according to the ciphertext returned by the identity authentication interface, and sending the identity authentication message and the meter call task to the meter includes: Based on the identity authentication interface, relevant information of the electric meter is collected to obtain relevant information of the electric meter; The ciphertext and the meter-related information are used to construct a message according to a preset format requirement to obtain the identity authentication message, and the identity authentication message and the meter call task are sent to the meter.

6. The method for setting fee control tasks for low-voltage users according to claim 1, characterized in that: After the identity authentication message and the meter test calling task are sent to the meter, the method further includes: Using the electric meter to receive the identity authentication message and decode it to obtain a decoded message; Verifying the validity of the decoded message through the electric meter to obtain a verification result, and determining whether to respond to the electric meter test call task according to the verification result; If it is decided to respond to the meter call task according to the verification result, the meter call task is executed through the meter, the current power consumption and status data are read, and the call data is obtained; The call test data is sent to a metering automation system obtained according to the user fee control instruction.

7. The method for setting fee control tasks for low-voltage users according to any one of claims 1 to 6, characterized in that: After the electric meter call task is generated according to the configuration parameters by using the daily time period setting task, the annual time zone setting task and the rate period, the method further includes: The meter call task is sent to the corresponding meter through a preset fair scheduling algorithm and a concentrator, and the execution status of the meter is monitored; The test data returned by the electric meter are collected, the test data are verified to obtain a verification result, and the test data and the verification result are stored in a preset database.

8. A fee control task setting device for low-voltage users, characterized in that: The device comprises: A normal data extraction module is used to search for electric meters in the substation of the concentrator based on a preset user fee control instruction, construct a meter search task, and collect the electric meter parameters stored in the concentrator through the meter search task to obtain electric meter parameter data; analyze the electric meter parameter data through a preset data analysis model, and extract normal data from the electric meter parameter data; A call test task construction module, used to set a call test task for the electric meter through a preset full amount of low-voltage user files and the normal data, so as to obtain the electric meter call test task; An execution instruction sending module is used to call the identity authentication interface through the meter parameter data, construct an identity authentication message according to the ciphertext returned by the identity authentication interface, and send the identity authentication message and the meter call task to the meter; generate an execution instruction according to the identity authentication information returned by the meter, and send the execution instruction to the meter; The fee control standard adjustment module is used to obtain the call test data of the electric meter when executing the electric meter call test task, and compare the call test data with the historical data in the electric meter parameter data based on a preset time zone period to adjust the fee control standard of the electric meter.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and, a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the fee control task setting method for low-voltage users as described in any one of claims 1 to 7.

10. A computer-readable storage medium, comprising a data storage area and a program storage area, wherein the data storage area stores created data and the program storage area stores a computer program; wherein: When the computer program is executed by a processor, the method for setting fee control tasks for low-voltage users according to any one of claims 1 to 7 is implemented.

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