Communication bureau station energy consumption metering method and device and nonvolatile storage medium

Abstract

The invention discloses a communication bureau station energy consumption metering method and device and a nonvolatile storage medium. The method comprises the following steps: acquiring equipment information of an electric meter sent by a mobile terminal, and determining a target communication station, a target machine room and a target account number corresponding to the electric meter according to the equipment information; associating the ammeter with the target communication station, the target machine room and the target account number to complete registration of the ammeter; receiving the electric quantity data of the registered ammeter, and processing the electric quantity data at least including data completion; and determining a metering index value according to the processed electric quantity data, and displaying the metering index value on a display interface. According to the invention, the technical problems of large metering workload and more data missing caused by the fact that intelligent electric meter metering of a traditional communication bureau station depends on manual selection of electric meters are solved.

Description

Technical Field

[0001] The present application relates to the field of energy consumption metering in communication rooms, and more specifically, to a method, device and non-volatile storage medium for energy consumption metering in communication stations. Background Art

[0002] With the acceleration of the current industrialization process and the growth of the global population, energy consumption has risen rapidly, and carbon neutrality and carbon compliance have become a common goal in all fields. As a major electricity consumer of communication operators, IDC buildings consume more energy, especially electricity, than traditional communication stations. Faced with this huge power consumption, it is urgent to more accurately count the power consumption of each station, computer room, rack, and business.

[0003] The traditional communication station power energy measurement is mainly carried out by installing smart meters on the cables to detect the power consumption of the cables. Smart meters are divided into main meters and branch meters according to the different installation locations, and are divided into wired meters and wireless meters according to the different transmission methods. At present, the mainstream communication protocol of wired meters is based on the 645 protocol, and the wireless meters are based on the Internet of Things protocol. Both protocols use the active push method to push the meter power data to the provincial platform for power measurement.

[0004] After the energy-saving platform unilaterally receives the hourly smart meter data, it stores it in the database. After receiving one day's electricity data, it calculates it into daily electricity for maintenance personnel to view. With the increasing requirements for accurate energy consumption measurement, it is found that there is a large discrepancy between the electricity energy consumption measured by many stations and the actual power supply payment. After eliminating the abnormal situation, it is found that the actual measurement value of the smart meter cannot reach the energy consumption platform due to various "emergency" situations, resulting in data measurement abnormality. A method that can effectively handle smart meter data anomalies is urgently needed on site to help on-site maintenance personnel to automatically complete data anomaly repair in a timely manner, accurately grasp the power consumption of the station, and provide accurate basis for front-end decision-making.

[0005] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0006] The embodiments of the present application provide a communication station energy consumption metering method, device and non-volatile storage medium to at least solve the technical problems of large metering workload and many data missing caused by the reliance on manual selection of meters for smart metering in traditional communication stations.

[0007] According to one aspect of an embodiment of the present application, a method for measuring energy consumption of a communication station is provided, comprising: obtaining device information of an electric meter sent by a mobile terminal, and determining a target communication station, a target computer room, and a target household number corresponding to the electric meter based on the device information, wherein the device information includes an electric meter device code and a geographical location information of the electric meter, wherein the electric meter device code is obtained by scanning a QR code on the electric meter by a mobile terminal, and the geographical location information of the electric meter is obtained by a positioning program of the mobile terminal; associating the electric meter with the target communication station, the target computer room, and the target household number to complete the registration of the electric meter; receiving electric power data of the registered electric meter, and processing the electric power data, wherein the processing at least includes data completion; determining a metering indicator value based on the processed electric power data, and displaying the metering indicator value on a display interface.

[0008] Optionally, determining the target communication station, target computer room and target household number corresponding to the electricity meter based on the equipment information includes: determining the communication station closest to the geographical location of the electricity meter as the target communication station corresponding to the electricity meter based on the geographical location information of the electricity meter; determining the computer room closest to the geographical location of the electricity meter as the target computer room corresponding to the electricity meter based on the geographical location information of the electricity meter; obtaining the electricity bill payment record corresponding to the target communication station, wherein the electricity bill payment record includes the target communication station and the household number corresponding to the target communication station; and using the household number corresponding to the target communication station as the target household number corresponding to the electricity meter.

[0009] Optionally, the power data is cleaned in the following manner: deleting power data in fields where there are missing data in the power data; deleting abnormal power data in the power data, wherein the degree of change in the power reading of the abnormal power data relative to the power reading at a preset time point is greater than a first preset threshold; deleting duplicate power data in the power data.

[0010] Optionally, after cleaning the power data, the method further includes: periodically detecting whether power data from the electric meter is received according to a preset period; if no power data is detected within any preset period, creating a new power data record and setting the power reading of the power data record to a null value.

[0011] Optionally, the power data is completed in the following manner: determine the first time point corresponding to the power data where the power reading is a null value; based on the first time point, obtain the power reading at the second time point and the power reading at the third time point, wherein the moment represented by the second time point is before the first time point, and the moment represented by the third time point is after the first time point; determine the power reading of the power data based on the power reading at the second time point and the power reading at the third time point.

[0012] Optionally, after processing the electricity data, the method also includes: determining the data missing rate of the electricity meter, wherein the data missing rate is the proportion of electricity data with empty electricity readings to the total electricity data; when the data missing rate is greater than a second preset threshold, determining that the electricity meter is faulty; when it is determined that the electricity meter is faulty, displaying a fault alarm prompt through a display interface.

[0013] Optionally, the metering indicator value includes the total energy consumption within a preset period. After determining the metering indicator value based on the processed electricity data, the method also includes: when the total energy consumption corresponding to the electric meter is greater than the corresponding energy consumption threshold, determining that there is an energy consumption abnormality in the computer room corresponding to the electric meter; when the total energy consumption corresponding to the communication station is greater than the corresponding energy consumption threshold, determining that there is an energy consumption abnormality in the communication station; when it is determined that there is an energy consumption abnormality, sending an energy consumption abnormality alarm prompt to the display interface.

[0014] According to another aspect of the embodiment of the present application, a communication station energy consumption metering device is also provided, including: a first acquisition module, used to acquire equipment information of an electric meter sent by a mobile terminal, and determine a target communication station, a target computer room and a target household number corresponding to the electric meter based on the equipment information, wherein the equipment information includes an electric meter equipment code and a geographical location information of the electric meter, and the electric meter equipment code is obtained by scanning a QR code on the electric meter by a mobile terminal, and the geographical location information of the electric meter is obtained by a positioning program of the mobile terminal; a first association module, used to associate the electric meter with a target communication station, a target computer room and a target household number to complete the registration of the electric meter; a second acquisition module, used to receive electricity data of a registered electric meter, and process the electricity data, wherein the processing at least includes data completion; a first metering module, used to determine a metering indicator value based on the processed electricity data, and display the metering indicator value on a display interface.

[0015] According to another aspect of an embodiment of the present application, a non-volatile storage medium is further provided, in which a program is stored, wherein when the program is running, a device where the non-volatile storage medium is located is controlled to execute a communication station energy consumption metering method.

[0016] According to another aspect of an embodiment of the present application, there is also provided an electronic device, including: a memory and a processor, the processor being used to run a program stored in the memory, wherein the communication station energy consumption metering method is executed when the program is running.

[0017] According to another aspect of an embodiment of the present application, a computer program product is also provided, including a computer program, which implements a communication station energy consumption metering method when the computer program is executed by a processor.

[0018] In an embodiment of the present application, the device information of the electric meter sent by the mobile terminal is obtained, and the target communication station, target computer room and target household number corresponding to the electric meter are determined according to the device information, wherein the device information includes the electric meter device code and the electric meter geographical location information, the electric meter device code is obtained by scanning the QR code on the electric meter by the mobile terminal, and the electric meter geographical location information is obtained by the positioning program of the mobile terminal; the electric meter is associated with the target communication station, the target computer room and the target household number to complete the registration of the electric meter; the electricity data of the registered electric meter is received, and the electricity data is processed, wherein the processing at least includes data completion; the metering index value is determined according to the processed electricity data, and the metering index value is displayed on the display interface. By using the mobile phone APP positioning, the installed electric meter is automatically registered and managed, and the electric data is cleaned and linearly interpolated to complete the data, so as to achieve the purpose of reducing manual intervention and improving data integrity, thereby realizing the technical effect of accurate metering of energy consumption and efficient operation and maintenance of the computer room, and then solving the technical problem of large metering workload and many data missing caused by the reliance on manual selection of electric meters by the smart meter measurement of the traditional communication station. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0020] Figure 1 is a structural schematic diagram of a computer terminal provided according to an embodiment of the present application;

[0021] Figure 2 It is a flow chart of a method for measuring energy consumption of a communication station provided according to an embodiment of the present application;

[0022] Figure 3 It is a data comparison chart before and after data cleaning provided according to an embodiment of the present application;

[0023] Figure 4 is a schematic diagram of sample data after adding untransmitted data according to an embodiment of the present application;

[0024] Figure 5 It is a schematic diagram of comparing before and after time series data provided according to an embodiment of the present application;

[0025] Figure 6 is a schematic diagram of a display interface provided according to an embodiment of the present application;

[0026] Figure 7 It is a structural schematic diagram of a communication station energy consumption metering device provided according to an embodiment of the present invention. 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", "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] In order to better understand the embodiments of the present application, the technical terms involved in the embodiments of the present application are explained as follows:

[0030] 645 protocol: The national standard "DL / T 645-2007 Multi-function Electricity Meter Communication Protocol" specifies the communication protocol between smart meters and collectors and management systems. It is the current mainstream wired meter protocol.

[0031] Linear interpolation: An interpolation method for dealing with missing values. When the data has a linear trend, the complement is more accurate, but if it is nonlinear, it cannot provide sufficiently accurate estimates.

[0032] Energy consumption platform: a dedicated energy consumption measurement platform used to directly connect to smart meters and aggregate smart meter data.

[0033] The traditional communication station smart metering method has the following three problems:

[0034] 1. Relying on manual selection of electricity meters, the workload is large

[0035] At present, the first step for operators to measure electricity meters is to install them, which is also one of the aspects with the largest workload on site. First, it is necessary to purchase the meters, then carry out construction, install the meters and transformers in appropriate locations, and finally configure the meters in the system. The configuration is divided into three steps. First, the meters are managed so that the system can recognize them. Second, the meters are selected and associated with the communication bureau stations, and their types are marked (bureau station total, equipment total, air conditioning total, etc.). Finally, they are associated with the electricity bill reporting account number. This series of installation operations makes the workload of on-site maintenance personnel heavy, especially when replacing or repairing meters, the association needs to be adjusted in time, which is prone to human negligence, resulting in long-term abnormal data of the bureau station meters and inability to measure the bureau station energy consumption.

[0036] 2. Reliance on the stability of smart meters, with many missing data

[0037] Traditional smart meters upload electricity readings mainly through active push, which follows the national standard 645 protocol. Therefore, as the receiving end of the energy-saving platform, even if it is known that the data is missing, it is impossible to notify the smart meter to resend the data, resulting in data missing. There are many reasons for data missing, such as network and meter equipment, which will cause the data to be unable to be pushed correctly. Since the receiving end has no means to require the meter point to resend, the electricity metering stability is weak, and the precise energy consumption value for a period of time cannot be accurately obtained, resulting in a lot of data missing. When the proportion of missing data reaches a certain amount, this smart meter will lose the function of accurate energy consumption measurement, resulting in the inability to further estimate the energy consumption of the station, affecting the decision-making of the front-end business department and causing energy waste.

[0038] 3. The metering function relies on hard-coded architecture and has poor flexibility

[0039] The measurement of smart meters is mainly written in platform hard code. Once a function is determined, any optimization or modification requires an upgrade or release. It is impossible to perform real-time modification and optimization, and it is impossible to quickly deploy and form atomic capabilities according to user needs.

[0040] Due to the above reasons, the current traditional communication bureau station smart metering method relies on manual selection of meters, which has a large workload, relies on the stability of smart meters, has many data missing, relies on hard code architecture for metering, and has poor flexibility.

[0041] In order to solve the above problems, relevant solutions are provided in the embodiments of the present application, which are described in detail below.

[0042] According to an embodiment of the present application, a method embodiment of a method for measuring energy consumption of a communication station is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0043] The method embodiments provided in the embodiments of the present application can be executed in a mobile terminal, a computer terminal or a similar computing device. Figure 1 The hardware structure block diagram of a computer terminal for implementing the energy consumption metering method of a communication station is shown. Figure 1 As shown, the computer terminal 10 may include one or more (102a, 102b, ..., 102n are used to illustrate) processors 102 (the processor 102 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA), a memory 104 for storing data, and a transmission device 106 for communication functions. In addition, it may also include: a display, an input / output interface (I / O interface), a universal serial bus (USB) port (which may be included as one of the ports of the BUS bus), a network interface, a power supply and / or a camera. It can be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the above electronic device. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations shown.

[0044] It should be noted that the one or more processors 102 and / or other data processing circuits described above may generally be referred to herein as "data processing circuits". The data processing circuits may be embodied in whole or in part as software, hardware, firmware, or any other combination thereof. In addition, the data processing circuit may be a single independent processing module, or may be incorporated in whole or in part into any of the other components in the computer terminal 10. As described in the embodiments of the present application, the data processing circuit acts as a processor control (e.g., selection of a variable resistor terminal path connected to an interface).

[0045] The memory 104 can be used to store software programs and modules of application software, such as the program instructions / data storage device corresponding to the communication station energy consumption metering method in the embodiment of the present application. The processor 102 executes various functional applications and data processing by running the software programs and modules stored in the memory 104, that is, the above-mentioned communication station energy consumption metering method is realized. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories may be connected to the computer terminal 10 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.

[0046] The transmission device 106 is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of the computer terminal 10. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0047] The display may be, for example, a touch screen liquid crystal display (LCD) that enables a user to interact with a user interface of the computer terminal 10 .

[0048] In the above operating environment, the embodiment of the present application provides a method for measuring energy consumption of a communication station, such as Figure 2 As shown, the method comprises the following steps:

[0049] Step S202, obtain the device information of the electric meter sent by the mobile terminal, and determine the target communication station, target computer room and target household number corresponding to the electric meter based on the device information, wherein the device information includes the electric meter device code and the electric meter geographic location information. The electric meter device code is obtained by scanning the QR code on the electric meter by the mobile terminal, and the electric meter geographic location information is obtained by the positioning program of the mobile terminal.

[0050] In the technical solution provided in step S202, determining the target communication station, target computer room and target household number corresponding to the electricity meter based on the equipment information includes: determining the communication station closest to the geographical location of the electricity meter as the target communication station corresponding to the electricity meter based on the geographical location information of the electricity meter; determining the computer room closest to the geographical location of the electricity meter as the target computer room corresponding to the electricity meter based on the geographical location information of the electricity meter; obtaining the electricity fee payment record corresponding to the target communication station, wherein the electricity fee payment record includes the target communication station and the household number corresponding to the target communication station; and using the household number corresponding to the target communication station as the target household number corresponding to the electricity meter.

[0051] Optionally, through the massive data collection capabilities of the big data lake, the GPS and tag information of each communication station, computer room, and equipment can be obtained, and the current smartphone APP can be used to obtain the current location capability and scan tags. During the installation process of the smart meter, the smart meter, station, household number, and type can be fully registered with one scan and one click, reducing the workload of maintenance personnel in two locations for first installation and then registration.

[0052] Specific capabilities include:

[0053] 1. Obtain the communication bureau station, computer room, and equipment table from the big data lake, which includes the following two types of dimension tables:

[0054] Computer room station table: computer room name, computer room code, affiliated station name, affiliated station code, station address GPS.

[0055] Table of electrical equipment: equipment name, equipment code, computer room, and computer room code.

[0056] 2. The main function of the computer room and station matching API is to automatically associate the nearest computer room and station based on GPS information and equipment information, and automatically associate the station, electrical equipment, electricity meters and types.

[0057] 3. The lightweight WeChat applet can directly call the collection camera function to scan the QR code on the meter to obtain the meter device code, obtain the mobile phone positioning information as the meter geographic location information, call the station matching API, and form a related data string.

[0058] 4. Develop a data acquisition API to always receive well-correlated data. When the data format is complete and consistent with the station and computer room in the database, store and return it successfully.

[0059] 5. Obtain monthly electricity bill payment records from the big data lake, and obtain the corresponding power supply company payment account number through the station address attributes, and expand the previous step data to: smart meter name, station / computer room name, code, type, and account number.

[0060] It should be noted that the system supports the determination of the corresponding power-consuming devices by the meter's geographic location information. For power-consuming devices with QR codes or labels, it also supports obtaining the device code by scanning the QR code or label with a mobile terminal.

[0061] Step S204, the electric meter is associated with the target communication station, the target computer room and the target account number to complete the registration of the electric meter.

[0062] Step S206, receiving the electricity data of the registered electricity meter, and processing the electricity data, wherein the processing at least includes data completion.

[0063] In the technical solution provided in step S206, the power data is cleaned in the following manner: deleting the power data of fields with missing data in the power data; deleting abnormal power data in the power data, wherein the degree of change of the power reading of the abnormal power data relative to the power reading at a preset time point is greater than a first preset threshold; deleting repeated power data in the power data, wherein the degree of change is the proportion of the change of the power reading relative to the preset time point to the power reading at the preset time point.

[0064] Optionally, the data cleaning stage mainly performs necessary processing on abnormal data to prevent the correct data from being affected in the subsequent stages. It mainly deletes data that is too abnormal after the data is transmitted, such as NA, empty, or data that exceeds or is lower than (i.e., the degree of change) the power reading at a preset time point by more than 50% (i.e., the first preset threshold), to ensure the integrity of the data queue, wherein the preset time point is the reading time point of the previous data relative to the current moment.

[0065] Optionally, data cleaning includes the following steps:

[0066] 1. Establish a data cleaning link. Its input parameters are the smart meter readings collected by the acquisition and control system, usually: smart meter name, code, acquisition date, and reading. The output parameters are one row of data per hour after data processing. The data columns are consistent with the input parameters: use the astype() function to standardize the format of the smart meter electricity reading data collected by the acquisition and control system and convert it into standard time format and digital format.

[0067] 2. Use the dropna() function to delete missing rows and columns. This step is mainly for deleting incomplete data transmission. Combined with the judgment function, data that is too large (exceeding the preset threshold compared with the previous hour) and too small will also be deleted to ensure the cleanness of the meter power reading.

[0068] 3. Use duplicated() and drop_duplicates() together to delete the same data at the same time point. This completes the first stage of cleaning. The data before and after data cleaning is as follows: Figure 3 shown.

[0069] In the technical solution provided in step S206, after the power data is cleaned, the method also includes: periodically detecting whether the power data of the electric meter is received according to a preset period; if no power data is detected within any preset period, creating a new power data record and setting the power reading of the power data record to a null value.

[0070] Optionally, in view of the characteristic of smart meter data that it actively pushes electricity data, it automatically detects whether the data is received every hour (i.e., the preset period). If the data is received, no processing is done. If the data is not received within any preset period, a time is inserted with a value of empty, that is, the entire data monitoring is organized into a standardized collection data column with one row per hour.

[0071] Optionally, after cleaning the power data, the method further includes: monitoring whether the data time axis is complete: using the original data time column as an index, comparing it with the complete time series, finding the missing time series through the comparison result, further renaming it, and discarding the non-missing rows, inserting the renamed missing series into the original series, at which point the original time series has been completed, and further sorting it according to the time series so that it is sorted from early to late according to normal time. After the sample data is added with the untransmitted data, Figure 4 shown.

[0072] In the technical solution provided in step S206, the power data is completed in the following manner: determine the first time point corresponding to the power data where the power reading is a null value; based on the first time point, obtain the power reading at the second time point and the power reading at the third time point, wherein the moment represented by the second time point is before the first time point, and the moment represented by the third time point is after the first time point; determine the power reading of the power data based on the power reading at the second time point and the power reading at the third time point.

[0073] Optionally, data completion mainly uses a linear interpolation algorithm to automatically complete the data after data monitoring and sorting. The main logic is to combine the collection results of two times (i.e., the second time point and the first time point) for linear supplement. It should be noted that the second time point is the time point before the first time point that is closest to the first time point and the power reading is not a null value, and the third time point is the time point after the first time point that is closest to the first time point and the power reading is not a null value.

[0074] Optionally, data completion first reads the data, and uses the data time column as an index to process the data using a linear interpolation function interpolate. After data completion, it also includes drawing a comparison chart of the before and after time series data for the completed smart meter reading data to verify the effect of data completion. Figure 5 A comparison chart of before and after time series data is shown. The comparison chart of before and after time series data is used to evaluate the completion effect, optimize data cleaning, data monitoring, and data supplementation, so that it can eventually form a "smooth" time series curve, which is infinitely close to the actual situation.

[0075] In the technical solution provided in step S206, after processing the electricity data, the method also includes: determining the data missing rate of the electricity meter, wherein the data missing rate is the proportion of electricity data with empty electricity readings to the total electricity data; when the data missing rate is greater than a second preset threshold, determining that the electricity meter has a fault; when it is determined that the electricity meter has a fault, displaying a fault alarm prompt through a display interface.

[0076] In an optional embodiment, a total of 4,000 meters are tested in the station. Before correction (before the power data is processed), the completeness rate is only 53%. Through automatic data supplementation, the completeness rate of daily power data can be close to 90%. The remaining 10% are long-term disconnected meters that require timely maintenance, which effectively reduces the manual correction workload of maintenance personnel. It takes 30 minutes to correct a meter from on-site inspection to software modification, 4000*(90%-53%)=1480min, which effectively saves maintenance personnel nearly 3 days / month of workload.

[0077] Optionally, an electric meter that has been out of contact for a long time (i.e., a faulty electric meter) is judged by the data missing rate. When the data missing rate is greater than a second preset threshold, it is determined that the electric meter is faulty. When it is determined that the electric meter is faulty, a fault alarm prompt is displayed through a display interface to prompt maintenance personnel to repair the electric meter.

[0078] Step S208, determining a metering indicator value according to the processed electric quantity data, and displaying the metering indicator value on a display interface.

[0079] Optionally, by making the table creation, data cleaning, and completion processing capabilities mentioned above into independent atomic capabilities in turn and registering them as APIs, it is possible to draw and present pages on the smart workbench, freely present the meter collection, measurement, and analysis to maintenance personnel, and support personalized interface customization based on the characteristics of maintenance personnel, thereby improving overall operation and maintenance efficiency.

[0080] Optionally, the data processing API and the associated management API are called in sequence according to time to calculate the daily electricity consumption. The input parameters are: smart meter name, code, collection date, and indication; the output parameters are: station name, station code, meter type (station total, equipment total, air conditioning total), daily electricity consumption, date, and corresponding household number data.

[0081] Optionally, establish a presentation page API, which is mainly divided into five aspects: total power consumption of the station, power consumption for electricity billing, business-finance consistency rate, air conditioning energy consumption of the station, PUE of the station, and coverage of the station. These five aspects will establish corresponding APIs in turn, and finally be presented in the "canvas" of the smart workbench. The display interface is as follows: Figure 6 As shown, it also supports customization of bar charts, maps, and pie charts according to one's own needs to increase the expressiveness, and ultimately form a comprehensive energy consumption metering and statistical page (i.e., display interface) for the station.

[0082] In the technical solution provided in step S208, the metering indicator value includes the total energy consumption within a preset period. After determining the metering indicator value based on the processed electricity data, the method also includes: when the total energy consumption corresponding to the electric meter is greater than the corresponding energy consumption threshold, determining that there is an energy consumption abnormality in the computer room corresponding to the electric meter; when the total energy consumption corresponding to the communication station is greater than the corresponding energy consumption threshold, determining that there is an energy consumption abnormality in the communication station; when it is determined that there is an energy consumption abnormality, sending an energy consumption abnormality alarm prompt to the display interface.

[0083] Optionally, the metering indicator values ​​are mainly used to measure the total energy consumption and PUE of the station and electricity meter on a daily, monthly and annual basis, to help maintenance personnel quickly locate equipment with high energy consumption and perform timely maintenance and repair. When it is detected that the total energy consumption is greater than the corresponding threshold, an abnormal energy consumption alarm is sent to the display interface, and the results of data collection, processing and analysis are graphically presented on the display page, thereby lowering the threshold for maintenance personnel to obtain data, realizing timely warning of abnormal energy consumption of the station, and helping maintenance personnel to reasonably plan the airflow organization of the computer room to ensure the safety of the cooling in the computer room.

[0084] In the above operating environment, the embodiment of the present application provides a method for measuring energy consumption of communication stations, obtains static resource data of relevant stations and equipment, monitors smart meter data in real time, obtains smart meter readings regularly and accurately, and establishes data analysis, processing, and analysis modules, so as to accurately analyze station energy consumption, and finally present it in a graphical way in the smart workbench, ensuring that the networks of various systems and atomic capability configuration platforms are connected, so that interfaces can access each other at the millisecond level, thereby ensuring that the entire system can act on production. Specifically, the following steps are included:

[0085] 1. Obtain the communication station, computer room, and equipment table from the big data lake, which includes the following two types of dimension tables: Computer room station table: computer room name, computer room code, affiliated station name, affiliated station code, station address GPS; Equipment table: equipment name, equipment code, affiliated computer room, affiliated computer room code.

[0086] Example: The obtained computer room station table: XX second floor data room, NJGJSJZX02, XX data center, XXSJZX, 118.738524, 32.029282; the obtained equipment table: switch power supply 01, KGDY01, XX second floor data room, NJGJSJZX02.

[0087] 2. Develop an API for matching computer rooms and stations. Its main function is to automatically associate the nearest computer room and station based on GPS information and equipment information, and automatically associate stations, equipment, meters and types: with the help of the comprehensive configuration platform of the operation and maintenance center, establish a site positioning association management API. Its input parameters are the GPS data obtained by the WeChat applet, the QR code data scanned by the on-site equipment, and the name of the smart meter. The output parameters are the energy consumption metering association relationship based on the station dimension: station name, station code, meter type (station total, equipment total, air conditioner total), smart meter name, and corresponding household number data.

[0088] 3. Create a lightweight WeChat applet that can directly call the collection camera function to scan the meter QR code to obtain the device code, obtain the mobile phone positioning information, call the station matching API, and form a related data string.

[0089] 4. Develop a data acquisition API to always receive well-correlated data. When the data format is complete and consistent with the station and computer room in the database, store and return it successfully.

[0090] Example: When maintenance personnel open WeChat Xiaodu on their mobile phones, they will automatically obtain GPS information, scan the QR code data of the equipment that needs to be tied with cables on site, and scan the label data of the smart meter that needs to be installed. At this time, Xiaodu will automatically associate the nearest station information based on the GPS data, use the QR code of the on-site equipment, automatically set the collected power to the total station, and associate the input smart meter data with: XX Data Center, XXSJZX, total station, smart meter 01.

[0091] 5. Obtain monthly electricity bill payment records from the big data lake, and obtain the corresponding power supply company payment account number through the station address attributes, and expand the previous step data to: smart meter name, station / computer room name, code, type, and account number.

[0092] Example: After the household number and site data are associated, the household number is successfully associated, and the final data is: smart meter 01, XX data center, XXSJZX, bureau station total, 320XXXXXX.

[0093] 6. Establish a data cleaning process, use the astype() function to standardize the format of the smart meter electricity reading data collected by the acquisition and control, and convert it into standard time format and digital format.

[0094] Examples:

[0095] time_column value

[0096] 0 2024-08-21 15:00:00 10266.70

[0097] 1 2024-08-21 14:00:00 10265.56

[0098] 2 2024-08-21 13:00:00

[0099] 3 2024-08-21 12:00:00 10263.28

[0100] 4 2024-08-21 11:00:00 .........

[0102] 7. Use the dropna() function to delete missing rows and columns. This step is mainly for deleting incomplete data transmission. Combined with the judgment function, data that is too large (the change compared to the previous hour exceeds the preset threshold, such as 100%, 50%) and too small (the change compared to the previous hour exceeds the preset threshold, such as 100%, 50%) are also deleted to ensure the cleanliness of the meter power readings.

[0103] Examples:

[0104]

[0105] 8. Use duplicated() and drop_duplicates() together to delete the same data at the same time point. This completes the first stage of cleaning. See the data before and after processing. Figure 3 .

[0106] 10. Establish a data monitoring link. First, monitor whether the data timeline is complete. Use the original data time column as the index and compare it with the complete time series.

[0107] Examples:

[0108]

[0109] 11. The comparison results in the previous step have found the missing time series, which are further renamed, and the non-missing rows are discarded and inserted into the original series.

[0110] Examples:

[0111]

[0112]

[0113] 12. At this point, the original time series has been completed and is further sorted according to the time series so that it is sorted from early to late according to normal time.

[0114] 13. Establish the data supplement link and read the data first.

[0115] Examples:

[0116]

[0117] 14. Use the linear interpolation function interpolate to process the data, and call the function using the data time column as the index.

[0118] Examples:

[0119]

[0120] 15. For the supplemented smart meter reading data, draw a comparison chart of the time series data before and after to verify the effect of data supplementation.

[0121] 16. Optimize data cleaning, data monitoring, and data supplementation for the comparison chart, so that it can eventually form a "smooth" time series line that is infinitely close to the actual situation.

[0122] 17. With the help of the comprehensive configuration platform of the Operation and Maintenance Center, a site location association management API is established. Its input parameters are the GPS data obtained by the WeChat applet, the QR code data scanned by the on-site equipment, and the name data of the smart meter. The output parameters are the energy consumption measurement association relationship based on the station dimension: station name, station code, meter type (station total, equipment total, air conditioning total), smart meter name, and corresponding household number data.

[0123] 18. Establish a data processing API, which is mainly divided into three stages: data cleaning, data comparison, and data completion. The input parameters are the smart meter readings collected by the acquisition and control system, usually: smart meter name, code, collection date, and reading. The output parameters are one row of data per hour after data processing is completed, and the data columns are consistent with the input parameters.

[0124] 19. Establish a data analysis API, which calls the data processing API and the associated management API in sequence according to time to calculate the daily electricity consumption. The input parameters are: smart meter name, code, collection date, and indication; the output parameters are: station name, station code, meter type (station total, equipment total, air conditioning total), daily electricity consumption, date, and corresponding household number data.

[0125] 20. Establish a presentation page API, which is mainly divided into five aspects: total power consumption of the station, power consumption reported for electricity bills, business-finance consistency rate, air-conditioning energy consumption of the station, PUE of the station, and coverage of the station. Corresponding APIs will be established for these five aspects in turn.

[0126] 21. The data is finally presented in the "canvas" of the smart workbench. Here, you can also customize bar charts, maps, and pie charts according to your own needs to increase the presentation capabilities, and ultimately form a comprehensive energy consumption metering and statistical page for the station.

[0127] Through the above steps, a method of end-to-end energy consumption metering that can start directly from the device source can be implemented: by building a simple management software for smart meters using a mobile phone APP, using the GPS data of the resource bureau station site, and using the mobile phone APP to locate the installed meters, the installed meters can be automatically registered and managed, reducing the workload of on-site maintenance personnel to manually adjust the meters; relying on the Python analysis model to analyze the collected smart meter data, after data cleaning, automatically organize it into complete data collected at each time point, make missing data explicit, and use the linear in-line algorithm to automatically supplement the missing data. By completing the data, the measurement missing of daily energy can be greatly reduced, especially the longer the time axis is, the more the integrity of the overall daily energy can be improved; solve the problem of stable smart meters The data missing caused by the nature of the problem is solved, and the truly damaged smart meters are identified, and hidden dangers are notified in time for timely on-site repairs to ensure the accuracy of energy consumption measurement; with the powerful decoupling capabilities of the new generation of systems, each acquisition module, analysis module, early warning module, and presentation module are modularly deployed, and a set of data acquisition, processing, analysis, and presentation environments based on the new generation of modular concepts are established to automatically clean, model, supplement, analyze, and present the data reported by the smart meter. Each module can run independently or be called by any other module, with strong compatibility, and finally realize a highly flexible and self-configurable computer room energy consumption measurement method, which helps maintenance personnel to personalize the assembly of each module according to their actual needs and realize various customized measurement business needs. The traditional energy consumption measurement is reconstructed and optimized from the three dimensions of meter installation and management, power collection, and energy consumption analysis, which solves the pain point that maintenance personnel need to manually select the associated meter-station-account number from the system, solves the difficulty of power push being affected by the network and hardware equipment, and solves the key point that the main business personnel cannot quickly realize personalized needs through self-configuration.

[0128] Specifically, the method embodiment of the present application has the following advantages:

[0129] (1) Establishing the ability to automatically manage and associate site location and location: effectively solving the problem of heavy workload of manually selecting meters. This patent uses the multi-dimensional data acquisition capability of the big data lake to collect site and equipment information, and combines it with lightweight small program applications to effectively combine the collected GPS information, equipment QR code, smart meter QR code and other data, and automatically associates them by scanning and binding them when the smart meter is installed. The use of automated means reduces a lot of manual management time, ensuring that maintenance personnel spend their time on the safe maintenance of the computer room. Reduce the manual workload of maintenance personnel in installing, configuring, and associating smart meters, and use automated tools to complete the installation with one click. A medium-sized station has about 10 smart meters (including the computer room). If they are manually configured across systems in the previous way, it is estimated that each measurement point will take about 10 minutes to configure, and a station will take 100 minutes, and it is easy to have configuration errors and subsequent configuration modifications. This method can automatically manage and configure according to GPS and the detected equipment. If it is promoted to the whole province, it can effectively improve the efficiency of meter installation and configuration by 35%.

[0130] (2) Establish data cleaning and completion capabilities: effectively solve the problem of missing data that depends on the stability of smart meters. Through the atomic capability self-configuration module of the new generation operation and maintenance center, three process sub-modules of data cleaning, data monitoring, and data completion have been established. It adopts a serial working mode, which effectively solves the inaccurate reporting of data caused by problems with the smart meter itself and network problems, reduces the traditional method of manually correcting data, reduces the number of hidden danger work orders that require manual maintenance, and improves the accuracy of energy consumption measurement in the computer room. The problem of inaccurate data collection of smart meters requiring manual correction is solved. In the embodiment of the present application, maintenance personnel are supported to log in to the system every day to check whether the electricity data actively sent by the smart meter is accurate. If it is inaccurate, it will notify the manual correction in time to avoid energy consumption measurement errors.

[0131] (3) Effectively solve the problem of poor flexibility of hard-code architecture through data metering API. Relying on the modular operation concept of the new generation system, this patent configures each processing module independently, and each module forms a separate API that can be called in series or in parallel, supporting on-site maintenance personnel to freely combine according to the personalized needs of customers, improving the flexibility of the system in the later stage, and increasing the convenience of system iteration, so that maintenance personnel are not only users, but also low-code developers, organically combining maintenance and operation.

[0132] The present application provides a data storage device. Figure 7 is a schematic diagram of the structure of the device, such as Figure 7As shown, the device includes: a first acquisition module 70, which is used to acquire the equipment information of the electric meter sent by the mobile terminal, and determine the target communication station, target computer room and target household number corresponding to the electric meter based on the equipment information, wherein the equipment information includes the electric meter equipment code and the electric meter geographical location information, the electric meter equipment code is obtained by scanning the QR code on the electric meter by the mobile terminal, and the electric meter geographical location information is obtained by the positioning program of the mobile terminal; a first association module 72, which is used to associate the electric meter with the target communication station, target computer room and target household number to complete the registration of the electric meter; a second acquisition module 74, which is used to receive the electricity data of the registered electric meter and process the electricity data, wherein the processing at least includes data completion; a first metering module 76, which is used to determine the metering index value based on the processed electricity data, and display the metering index value on the display interface.

[0133] In some embodiments of the present application, the first acquisition module 70 determines the target communication station, target computer room and target household number corresponding to the electricity meter based on the equipment information, including: based on the geographical location information of the electricity meter, determining the communication station closest to the geographical location of the electricity meter as the target communication station corresponding to the electricity meter; based on the geographical location information of the electricity meter, determining the computer room closest to the geographical location of the electricity meter as the target computer room corresponding to the electricity meter; obtaining the electricity bill payment record corresponding to the target communication station, wherein the electricity bill payment record includes the target communication station and the household number corresponding to the target communication station; and using the household number corresponding to the target communication station as the target household number corresponding to the electricity meter.

[0134] In some embodiments of the present application, power data is cleaned in the following manner: deleting power data in fields where there are missing data in the power data; deleting abnormal power data in the power data, wherein the degree of change in the power reading of the abnormal power data relative to the power reading at a preset time point is greater than a first preset threshold; and deleting duplicate power data in the power data.

[0135] In some embodiments of the present application, after cleaning the power data, the method also includes: periodically detecting whether the power data of the electric meter is received according to a preset period; if no power data is detected within any preset period, creating a new power data record and setting the power reading of the power data record to a null value.

[0136] In some embodiments of the present application, power data is completed in the following manner: determine the first time point corresponding to the power data where the power reading is a null value; based on the first time point, obtain the power reading at the second time point and the power reading at the third time point, wherein the moment represented by the second time point is before the first time point, and the moment represented by the third time point is after the first time point; determine the power reading of the power data based on the power reading at the second time point and the power reading at the third time point.

[0137] In some embodiments of the present application, after the second acquisition module 74 processes the power data, the method also includes: determining the data missing rate of the electric meter, wherein the data missing rate is the proportion of power data with null power readings to the total power data; when the data missing rate is greater than a second preset threshold, determining that the electric meter is faulty; and when determining that the electric meter is faulty, displaying a fault alarm prompt through a display interface.

[0138] In some embodiments of the present application, the metering indicator value includes the total energy consumption within a preset period. After determining the metering indicator value based on the processed electricity data, the method also includes: when the total energy consumption corresponding to the electric meter is greater than the corresponding energy consumption threshold, determining that there is an energy consumption abnormality in the computer room corresponding to the electric meter; when the total energy consumption corresponding to the communication station is greater than the corresponding energy consumption threshold, determining that there is an energy consumption abnormality in the communication station; when it is determined that there is an energy consumption abnormality, sending an energy consumption abnormality alarm prompt to the display interface.

[0139] It should be noted that the various modules in the above-mentioned data storage device can be program modules (for example, a set of program instructions that implement a certain specific function) or hardware modules. For the latter, it can be expressed in the following forms, but is not limited to this: the expression form of each of the above-mentioned modules is a processor, or the functions of each of the above-mentioned modules are implemented by a processor.

[0140] An embodiment of the present application provides a non-volatile storage medium, in which a program is stored, wherein when the program is running, the device where the non-volatile storage medium is located is controlled to execute the following communication station energy consumption metering method: obtaining device information of an electric meter sent by a mobile terminal, and determining a target communication station, a target computer room, and a target household number corresponding to the electric meter based on the device information, wherein the device information includes an electric meter device code and a geographical location information of the electric meter, wherein the electric meter device code is obtained by scanning a QR code on the electric meter by a mobile terminal, and the geographical location information of the electric meter is obtained by a positioning program of the mobile terminal; associating the electric meter with the target communication station, the target computer room, and the target household number to complete the registration of the electric meter; receiving electricity data of the registered electric meter, and processing the electricity data, wherein the processing at least includes data completion; determining a metering indicator value based on the processed electricity data, and displaying the metering indicator value on a display interface.

[0141] An embodiment of the present application provides an electronic device, including: a memory and a processor, the processor is used to run a program stored in the memory, wherein the program executes the following communication station energy consumption metering method when it is running: obtaining device information of an electric meter sent by a mobile terminal, and determining a target communication station, a target computer room and a target household number corresponding to the electric meter based on the device information, wherein the device information includes an electric meter device code and a geographical location information of the electric meter, the electric meter device code is obtained by scanning a QR code on the electric meter by a mobile terminal, and the geographical location information of the electric meter is obtained by a positioning program of the mobile terminal; associating the electric meter with the target communication station, the target computer room and the target household number to complete the registration of the electric meter; receiving electricity data of the registered electric meter, and processing the electricity data, wherein the processing at least includes data completion; determining a metering indicator value based on the processed electricity data, and displaying the metering indicator value on a display interface.

[0142] The embodiment of the present application provides a computer program product, including a computer program, which implements the following communication station energy consumption metering method when executed by a processor: obtaining device information of an electric meter sent by a mobile terminal, and determining a target communication station, a target computer room, and a target household number corresponding to the electric meter based on the device information, wherein the device information includes an electric meter device code and a geographical location information of the electric meter, wherein the electric meter device code is obtained by scanning a QR code on the electric meter by a mobile terminal, and the geographical location information of the electric meter is obtained by a positioning program of the mobile terminal; associating the electric meter with the target communication station, the target computer room, and the target household number to complete the registration of the electric meter; receiving electricity data of the registered electric meter, and processing the electricity data, wherein the processing at least includes data completion; determining a metering indicator value based on the processed electricity data, and displaying the metering indicator value on a display interface.

[0143] In the above embodiments of the present application, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, please refer to the relevant description of other embodiments.

[0144] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0145] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0146] In addition, each functional unit in each embodiment of the present application 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 software functional units.

[0147] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the relevant technology or all or part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, disk or optical disk, etc. Various media that can store program codes.

[0148] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for measuring energy consumption of a communication station, characterized in that: include: Acquire the device information of the electric meter sent by the mobile terminal, and determine the target communication station, target computer room and target household number corresponding to the electric meter according to the device information, wherein the device information includes the electric meter device code and the electric meter geographic location information, the electric meter device code is obtained by scanning the QR code on the electric meter by the mobile terminal, and the electric meter geographic location information is obtained by the positioning program of the mobile terminal; Associating the electric meter with the target communication station, the target computer room and the target account number to complete the registration of the electric meter; Receiving the electricity data of the registered electricity meter, and processing the electricity data, wherein the processing at least includes data completion; Determine a metering indicator value based on the processed electricity data, and display the metering indicator value on a display interface.

2. The method for measuring energy consumption of a communication station according to claim 1, characterized in that: Determining the target communication station, target computer room and target account number corresponding to the electric meter according to the device information includes: According to the geographical location information of the electric meter, the communication station closest to the geographical location of the electric meter is determined as the target communication station corresponding to the electric meter; According to the geographic location information of the electric meter, determining the computer room closest to the geographic location of the electric meter as the target computer room corresponding to the electric meter; Acquire an electricity fee payment record corresponding to the target communication station, wherein the electricity fee payment record includes the target communication station and an account number corresponding to the target communication station; The household number corresponding to the target communication station is used as the target household number corresponding to the electric meter.

3. The method for measuring energy consumption of a communication station according to claim 1, characterized in that: The power data is cleaned in the following ways: Deleting the power data of the field with missing data in the power data; Deleting abnormal power data in the power data, wherein a degree of change of a power reading of the abnormal power data relative to a power reading at a preset time point is greater than a first preset threshold; Delete duplicate power data in the power data.

4. The method for measuring energy consumption of a communication station according to claim 3, characterized in that: After cleaning the power data, the method further includes: Periodically detecting whether the electricity quantity data of the electric meter is received according to a preset period; When the power data is not detected within any preset period, a new power data record is created, and the power reading of the power data record is set to a null value.

5. The method for measuring energy consumption of a communication station according to claim 1, characterized in that: The power data is supplemented in the following ways: Determine a first time point corresponding to the power data at which the power reading is a null value; According to the first time point, obtaining a power reading at a second time point and a power reading at a third time point, wherein the second time point represents a moment before the first time point, and the third time point represents a moment after the first time point; The power reading of the power data is determined according to the power reading at the second time point and the power reading at the third time point.

6. The method for measuring energy consumption of a communication station according to claim 1, characterized in that: After processing the power data, the method further includes: Determine the data missing rate of the electric meter, wherein the data missing rate is the proportion of electric quantity data with a null electric quantity reading to the total electric quantity data; When the data missing rate is greater than a second preset threshold, determining that the electric meter is faulty; When it is determined that the electric meter has a fault, a fault alarm prompt is displayed through a display interface.

7. The method for measuring energy consumption of a communication station according to claim 1, characterized in that: The measurement indicator value includes the total energy consumption within a preset period. After determining the measurement indicator value according to the processed power data, the method further includes: When the total energy consumption corresponding to the electric meter is greater than the corresponding energy consumption threshold, determining that an energy consumption abnormality exists in the computer room corresponding to the electric meter; When the total energy consumption corresponding to the communication station is greater than the corresponding energy consumption threshold, determining that the communication station has energy consumption abnormality; When it is determined that there is abnormal energy consumption, an abnormal energy consumption alarm is sent to the display interface.

8. A communication station energy consumption metering device, characterized in that: include: A first acquisition module is used to acquire device information of the electric meter sent by the mobile terminal, and determine the target communication station, target computer room and target household number corresponding to the electric meter according to the device information, wherein the device information includes the electric meter device code and the electric meter geographical location information, the electric meter device code is acquired by scanning the QR code on the electric meter by the mobile terminal, and the electric meter geographical location information is acquired by the positioning program of the mobile terminal; A first association module is used to associate the electric meter with the target communication station, the target computer room and the target account number to complete the registration of the electric meter; A second acquisition module is used to receive the electricity data of the registered electric meter and process the electricity data, wherein the processing at least includes data completion; The first metering module is used to determine a metering indicator value according to the processed electricity data, and display the metering indicator value on a display interface.

9. A non-volatile storage medium, characterized in that: The non-volatile storage medium stores a program, wherein when the program is running, the device where the non-volatile storage medium is located is controlled to execute the communication station energy consumption metering method according to any one of claims 1 to 7.

10. An electronic device, characterized in that: include: A memory and a processor, wherein the processor is used to run a program stored in the memory, wherein the communication station energy consumption metering method described in any one of claims 1 to 7 is executed when the program is run.

11. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the communication station energy consumption metering method according to any one of claims 1 to 7 is implemented.

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