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

Abstract

The application discloses a communication station energy consumption metering method and device and a nonvolatile storage medium. The method comprises the following steps: obtaining device information of a power meter sent by a mobile terminal, determining a target communication station, a target machine room and a target household number corresponding to the power meter according to the device information, associating the power meter with the target communication station, the target machine room and the target household number, and completing registration of the power meter, receiving power data of the registered power meter, processing the power data, wherein the processing at least comprises data completion, determining a metering index value according to the processed power data, and displaying the metering index value on a display interface. The application solves the technical problem that the metering workload is large and the data is missing due to the fact that the traditional communication station intelligent power meter metering relies on manual power meter matching.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of communication room energy consumption metering, in particular to a communication station energy consumption metering method and device and a nonvolatile storage medium. BACKGROUND

[0002] With the acceleration of the current industrialization process and the growth of the global population, energy consumption is rising rapidly, and carbon neutralization and carbon standard have become the common goal of all fields. As a large consumer of electricity for communication operators, IDC building, its energy, especially power consumption, is dozens of times more than that of traditional communication stations. In the face of this huge power consumption, how to more accurately count the power consumption of each station, room, rack and business is imminent.

[0003] The traditional communication station power energy metering is mainly through the installation of intelligent electric meters on the cable to detect the power consumption of the cable. The intelligent electric meters are divided into total meters and branch meters according to the different installation positions, and are divided into wired meters and wireless meters according to the different transmission modes. The mainstream communication protocol of wired electric meters is 645 protocol, and the wireless meter is based on Internet of Things protocol. Both protocols use the active push mode to push the electric meter power data to the provincial platform for power metering.

[0004] After the provincial energy consumption platform receives the hourly intelligent electric meter data, it is stored in the database, and after receiving the daily electric energy data, it is calculated into daily power consumption for maintenance personnel to check. With the increasing demand for accurate energy consumption metering, it is found that there is a large difference between the metered power energy consumption of many stations and the actual power supply payment. After excluding abnormal situations, it is found that the actual measurement value of the intelligent electric meter cannot reach the energy consumption platform due to various "sudden" situations, resulting in data metering abnormalities. On-site maintenance personnel urgently need a method to effectively handle the data abnormalities of the intelligent electric meter to automatically complete the data abnormality repair in time, accurately grasp the power consumption of the station, and provide accurate basis for front-end decision-making.

[0005] At present, there is no effective solution to the above problems. SUMMARY

[0006] The embodiments of the present application provide a communication station energy consumption metering method, device and nonvolatile storage medium to at least solve the technical problem of large metering workload and data loss caused by the dependence of the intelligent electric meter metering of the traditional communication station on manual selection of the electric meter.

[0007] According to an aspect of the embodiments 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, determining a target communication station, a target machine room and a target household number corresponding to the electric meter according to the device information, wherein the device information comprises an electric meter device code, electric meter geographic location information, the electric meter device code is obtained by scanning a two-dimensional code on the electric meter through the mobile terminal, and the electric meter geographic location information is obtained through a positioning program of the mobile terminal; associating the electric meter with the target communication station, the target machine room and the target household number, and completing registration of the electric meter; receiving electric quantity data of the registered electric meter, and processing the electric quantity data, wherein the processing at least comprises data completion; determining a measurement index value according to the processed electric quantity data, and displaying the measurement index value on a display interface.

[0008] Optionally, determining the target communication station, the target machine room and the target household number corresponding to the electric meter according to the device information comprises: determining a communication station closest to the geographic location of the electric meter as the target communication station corresponding to the electric meter according to the electric meter geographic location information; determining a machine room closest to the geographic location of the electric meter as the target machine room corresponding to the electric meter according to the electric meter geographic location information; obtaining an electricity charge payment record corresponding to the target communication station, wherein the electricity charge payment record comprises the target communication station and a household number corresponding to the target communication station; and taking the household number corresponding to the target communication station as the target household number corresponding to the electric meter.

[0009] Optionally, the electric quantity data is cleaned by: deleting electric quantity data with a missing field in the electric quantity data; deleting abnormal electric quantity data in the electric quantity data, wherein the change degree of the electric quantity reading of the abnormal electric quantity data relative to the electric quantity reading of a preset time point is greater than a first preset threshold; and deleting repeated electric quantity data in the electric quantity data.

[0010] Optionally, after the electric quantity data is cleaned, the method further comprises: periodically detecting whether the electric quantity data of the electric meter is received according to a preset period; and in the case that no electric quantity data is detected within any one preset period, a new electric quantity data record is created, and the electric quantity reading of the electric quantity data record is set to be a null value.

[0011] Optionally, the electric quantity data is completed by: determining a first time point corresponding to the electric quantity data with a null value of the electric quantity reading; obtaining an electric quantity reading of a second time point and an electric quantity reading of a third time point according to the first time point, wherein the second time point represents a time before the first time point, and the third time point represents a time after the first time point; and determining the electric quantity reading of the electric quantity data according to the electric quantity reading of the second time point and the electric quantity reading of the third time point.

[0012] Optionally, after processing the power data, the method further comprises: determining a data missing rate of the power meter, wherein the data missing rate is a proportion of the power data with null power readings in all power data; determining that the power meter is faulty in a case where the data missing rate is greater than a second preset threshold; and displaying a fault alarm prompt on the display interface in a case where it is determined that the power meter is faulty.

[0013] Optionally, the metering index value comprises total energy consumption in a preset period, and after determining the metering index value according to the processed power data, the method further comprises: determining that the machine room corresponding to the power meter has energy consumption anomaly in a case where the total energy consumption corresponding to the power meter is greater than a corresponding energy consumption threshold; determining that the communication station has energy consumption anomaly in a case where the total energy consumption corresponding to the communication station is greater than a corresponding energy consumption threshold; and sending an energy consumption anomaly alarm prompt to the display interface in a case where it is determined that there is energy consumption anomaly.

[0014] According to another aspect of the embodiments of the present application, a communication station energy consumption metering device is further provided, comprising: a first acquisition module, configured to acquire device information of a power meter sent by a mobile terminal, and determine a target communication station, a target machine room and a target household corresponding to the power meter according to the device information, wherein the device information comprises a power meter device code, power meter geographic location information, the power meter device code is acquired by scanning a two-dimensional code on the power meter through the mobile terminal, and the power meter geographic location information is acquired through a positioning program of the mobile terminal; a first association module, configured to associate the power meter with the target communication station, the target machine room and the target household, and complete registration of the power meter; a second acquisition module, configured to receive power data of the registered power meter, and process the power data, wherein the processing at least comprises data completion; and a first metering module, configured to determine a metering index value according to the processed power data, and display the metering index value on a display interface.

[0015] According to another aspect of the embodiments of the present application, a non-volatile storage medium is further provided, and the non-volatile storage medium stores a program, wherein the program controls a device where the non-volatile storage medium is located to execute a communication station energy consumption metering method when the program is running.

[0016] According to another aspect of the embodiments of the present application, an electronic device is further provided, comprising: a memory and a processor, the processor is configured to run a program stored in the memory, wherein the program executes a communication station energy consumption metering method when the program is running.

[0017] According to another aspect of the embodiments of the present application, a computer program product is further provided, comprising a computer program, and the computer program is executed by a processor to implement a communication station energy consumption metering method.

[0018] In the embodiment of the present application, the device information of the electric meter sent by the mobile terminal is acquired, the target communication station, the target machine room and the 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, the geographic position information of the electric meter, the electric meter device code is acquired by scanning the two-dimensional code on the electric meter through the mobile terminal, and the geographic position information of the electric meter is acquired through the positioning program of the mobile terminal; the electric meter is associated with the target communication station, the target machine room and the target household number, and the registration of the electric meter is completed; the electric quantity data of the registered electric meter is received, and the electric quantity data is processed, wherein the processing at least includes data completion; the metering index value is determined according to the processed electric quantity data, and the metering index value is displayed on the display interface in the mode of displaying the metering index value, so as to automatically register and manage the installed electric meter by using the mobile phone APP positioning, clean the electric quantity data and complete the data by linear interpolation, so as to reduce the manual intervention and improve the data integrity, thereby realizing the technical effects of accurate metering and efficient operation and maintenance of the machine room energy consumption, and further solving the technical problems of large metering workload and much missing data caused by the dependence of the traditional communication station intelligent electric meter metering on manual selection of the electric meter. BRIEF DESCRIPTION OF DRAWINGS

[0019] The drawings described herein are used to provide further understanding of the present application, and form 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 improper limitations on the present application. In the drawings:

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

[0021] Figure 2 It is a flowchart of a communication station energy consumption metering method provided according to an embodiment of the present application;

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

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

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

[0025] Figure 6 It 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 application. DETAILED DESCRIPTION

[0027] In order for those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art 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 do not necessarily describe a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device including a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but can include other steps or units 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: national standard "DL / T 645-2007 multifunctional electric energy meter communication protocol", which specifies the communication protocol between the smart meter and the collector and management system, is the current mainstream wired meter protocol.

[0031] Linear interpolation: a method of interpolation and supplement of missing values, which is more accurate when the data is linear trend, but if it is nonlinear, it cannot provide sufficiently accurate estimates.

[0032] Energy consumption platform: a special energy consumption metering platform for directly interfacing with smart meters and aggregating smart meter data.

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

[0034] 1. Relies on manual selection of electric meters, with large workload

[0035] The first step of the current operator metering meter is to install the meter, which is one of the aspects with large amount of field work. First, the meter needs to be purchased, then the meter and the transformer are installed in the appropriate position after the construction, and finally the meter is configured in the system. The configuration is divided into three steps. First, the meter is included in the system so that the meter can be identified by the system. Second, the meter is matched to associate the meter with the communication station and mark its type (station total, device total, air conditioning total, etc.). Finally, the meter is associated with the electricity billing account number. This series of installation operations makes the field maintenance personnel have a large amount of work, especially when replacing the meter and repairing the meter, the association needs to be adjusted in time, which is prone to human negligence, resulting in long-term data anomaly of the station meter, and the station energy consumption cannot be measured.

[0036] 2. Dependence on stability of smart meter, more data missing

[0037] The traditional way of uploading power consumption of smart meter mainly relies on active push, which follows the national standard 645 protocol. Therefore, even if the receiving end of the provincial energy consumption platform knows that the data is missing, it cannot notify the smart meter to resend the data, resulting in data missing. There are many reasons for data missing, such as network, meter equipment, etc., which can cause data to be unable to be correctly pushed. The receiving end has no means to require the meter to resend, which results in weak stability of power consumption measurement, and accurate energy consumption values in a period of time cannot be obtained, resulting in more data missing. When the proportion of data missing reaches a certain amount, the smart meter will lose the function of accurate energy consumption measurement, which makes it impossible to further estimate the energy consumption of the station, affects the decision of the front-end business department, and causes energy waste.

[0038] 3. Measurement function depends on hard code architecture, poor flexibility

[0039] The measurement of the smart meter mainly relies on the hard code of the platform, and once a function is determined, any optimization or modification needs to be upgraded or released, which cannot be modified or optimized in real time, and cannot be quickly deployed and composed according to user demand.

[0040] Due to the above reasons, the current traditional communication station smart meter measurement method has the problems of dependence on manual matching of the meter, large amount of work, dependence on stability of the smart meter, more data missing, and poor flexibility of measurement depending on hard code architecture.

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

[0042] According to the embodiment of the present application, a method embodiment of a communication station energy consumption metering method 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 the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from here.

[0043] The method embodiment provided by the embodiment of the present application can be executed in a mobile terminal, a computer terminal or similar computing device. Figure 1 A hardware structure block diagram of a computer terminal for implementing the communication station energy consumption metering method is shown. As shown in the figure, Figure 1 The computer terminal 10 can include one or more processors 102 (the processor 102 can include but not limited to a microprocessor MCU or a programmable logic device FPGA processing device, etc.), a memory 104 for storing data, and a transmission device 106 for communication function. In addition, it can also include a display, an input / output interface (I / O interface), a universal serial bus (USB) port (which can be included as one of the ports in the BUS bus), a network interface, a power supply and / or a camera. Those skilled in the art can understand, Figure 1 The structure shown in the figure is only schematic, which does not limit the structure of the above-mentioned electronic device. For example, the computer terminal 10 can also include more or less components than Figure 1 shown in the figure, or have a different configuration from Figure 1 shown in the figure.

[0044] It should be noted that the one or more processors 102 and / or other data processing circuits described above can be referred to as "data processing circuits" herein. The data processing circuit can be embodied in whole or in part as software, hardware, firmware or any other combination. In addition, the data processing circuit can be a single independent processing module, or all or part of any one of the other elements combined into the computer terminal 10. As referred to in the embodiment of the present application, the data processing circuit as a kind of processor control (for example, the selection of variable resistance terminal path connected with the interface).

[0045] The memory 104 can be used to store software programs of application software and modules, such as program instructions / data storage devices corresponding to the communication station energy consumption metering method in the embodiments 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, i.e. implements the communication station energy consumption metering method described above. The memory 104 can include a high-speed random access memory, and can further include a non-volatile memory, such as one or more magnetic storage devices, flash memories, or other non-volatile solid-state memories. In some examples, the memory 104 can further include memories remotely arranged with respect to the processor 102, which can be connected to the computer terminal 10 through a network. Examples of the 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. Specific examples of the network can 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 (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 in a wireless manner.

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

[0048] Under the above operating environment, the embodiments of the present application provide a communication station energy consumption metering method, as shown in Figure 2 The method includes the following steps:

[0049] In step S202, device information of the electric meter sent by the mobile terminal is acquired, and a target communication station, a target machine room, and a target household number corresponding to the electric meter are determined according to the device information. The device information includes an electric meter device code and electric meter geographic location information. The electric meter device code is acquired by scanning a two-dimensional code on the electric meter through the mobile terminal. The electric meter geographic location information is acquired through a positioning program of the mobile terminal.

[0050] In the technical solution provided in step S202, determining the target communication station, the target machine room and the target household number corresponding to the electric meter according to the device information comprises: determining the communication station closest to the geographic location of the electric meter as the target communication station corresponding to the electric meter according to the geographic location information of the electric meter; determining the machine room closest to the geographic location of the electric meter as the target machine room corresponding to the electric meter according to the geographic location information of the electric meter; obtaining the electricity charge payment record corresponding to the target communication station, wherein the electricity charge payment record includes the target communication station and the household number corresponding to the target communication station; and taking the household number corresponding to the target communication station as the target household number corresponding to the electric meter.

[0051] Optionally, through the massive data collection capability of the big data lake, the GPS and label information of each communication station, machine room and device are obtained, the current location capability and the scanning label capability of the current smart phone APP are relied on, and in the installation process of the smart electric meter, the comprehensive management and registration of the smart electric meter, the station, the household number and the type are completed by one scan and one point, thereby reducing the workload of the maintenance personnel in two places for installation and registration.

[0052] The specific capability includes the following:

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

[0054] Machine room and station table: machine room name, machine room code, belonging station name, belonging station code and station address GPS.

[0055] Electricity-using device table: device name, device code, belonging machine room and belonging machine room code.

[0056] 2. Machine room and station matching API, which mainly functions to automatically associate the nearest machine room and station according to the GPS information and device information, and automatically associate the station, electricity-using device, electric meter and type.

[0057] 3. Lightweight WeChat mini program, which can directly call the camera function to scan the two-dimensional code on the electric meter to obtain the electric meter device code and obtain the mobile phone positioning information as the geographic location information of the electric meter, call the station matching API and form the associated data string.

[0058] 4. Research and development data acquisition API, which receives the data associated at a small degree at all times, stores and returns success when the data format is complete and consistent with the station and machine room in the database.

[0059] 5. Obtain the monthly electricity charge payment record from the big data lake, obtain the corresponding power supply company payment household number through the station address attribute, and expand the data in the previous step to: smart electric meter name, station / machine room name, code, type and household number.

[0060] It should be noted that the power meter device supports determining the corresponding power consumption device through the power meter geographic position information, and also supports obtaining the device code through scanning the two-dimensional code or label of the power consumption device by the mobile terminal.

[0061] In step S204, the power meter is associated with the target communication station, the target machine room and the target household number, and the registration of the power meter is completed.

[0062] In step S206, the power consumption data of the registered power meter is received, and the power consumption data is processed, wherein the processing at least includes data completion.

[0063] In the technical solution provided in step S206, the power consumption data is cleaned by deleting the power consumption data with missing data in the field, deleting the abnormal power consumption data in the power consumption data, wherein the change degree of the power consumption reading of the abnormal power consumption data relative to the power consumption reading of the preset time point is greater than the first preset threshold, and deleting the repeated power consumption data in the power consumption data, and the change degree is the proportion of the change amount of the power consumption reading relative to the preset time point to the power consumption reading of the preset time point.

[0064] Optionally, the data cleaning link mainly processes the abnormal data as needed to prevent affecting the correct data in the next link, which mainly deletes the data that is too abnormal after data transmission, such as NA, empty, more than or less than (i.e. change degree) the power consumption reading of the preset time point by 50% (i.e. first preset threshold) or more, 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 time.

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

[0066] 1. Establish a data cleaning link, the input parameter of which is the smart meter data collected by the sampling and control system, usually including: smart meter name, code, collection date, and reading, and the output parameter of which is the data processed every hour, the data column is consistent with the input parameter: the smart meter power reading data collected by the sampling and control system is standardized using the astype() function, and is converted into standard time format and numerical format.

[0067] 2. Use the dropna() function to delete rows and columns containing missing data. This step mainly deletes incomplete data transmission, and also deletes data that is too large (compared with the previous hour, exceeding the preset threshold) or too small by combining the judgment function, to ensure the cleanliness of the power meter power reading.

[0068] 3. Jointly use the duplicated() and drop_duplicates() functions to delete the same data at the same time point, which completes the first stage of cleaning link. The data before and after data cleaning is as followsFigure 3 As shown.

[0069] In the technical solution provided in step S206, after the power data is cleaned, the method further comprises: periodically detecting whether the power data of the power meter is received according to a preset period; in the case that no power data is detected within any one preset period, a power data record is newly created, and the power reading of the power data record is set to a null value.

[0070] Optionally, in view of the characteristics of the smart meter data actively pushing the power data, it is automatically detected whether the data is accepted every hour (i.e., a preset period), and if accepted, no processing is performed, and if not accepted within any one preset period, a time is inserted, and the value is null, that is, the entire data monitoring is arranged into a standardized collection data column with one row per hour.

[0071] Optionally, after the power data is cleaned, the method further comprises: monitoring whether the data time axis is complete; taking the original data time column as an index, comparing with the complete time sequence, finding out the missing time sequence through the comparison result, further renaming it, discarding the row without missing, and inserting the renamed missing sequence into the original sequence, at this time the original time sequence has been supplemented complete, and further sorting according to the time sequence makes it sorted from early to late according to the normal time, and the sample data after the missing data is increased Figure 4 As shown.

[0072] In the technical solution provided in step S206, the power data is completed by the following way: determining a first time point corresponding to the power data with a null power reading; according to the first time point, obtaining a power reading of a second time point and a power reading of a third time point, wherein the second time point represents a time before the first time point, and the third time point represents a time after the first time point; and determining the power reading of the power data according to the power reading of the second time point and the power reading of the third time point.

[0073] Optionally, the data completion mainly uses a linear interpolation algorithm to automatically complete the data after the data monitoring and arrangement, and the main logic is to combine the collection results of the previous two times (i.e., the second time point and the first time point) to perform linear completion. It should be noted that the second time point is the time point closest to the first time point and with a non-null power reading before the first time point, and the third time point is the time point closest to the first time point and with a non-null power reading after the first time point.

[0074] Optionally, the data completion first reads the data, and uses the data time column as an index, and uses a linear interpolation function interpolate to process the data. After the data completion, it further comprises drawing a comparison graph of the before and after time sequence data for the completed smart meter reading data, to verify the data completion effect.Figure 5 A before-and-after time series data comparison chart is shown. The before-and-after time series data comparison chart is used to evaluate the completion effect, optimize the data cleaning, data monitoring, and data supplement links, so that a "smooth" time series curve is finally formed, and finally approaches the actual situation infinitely.

[0075] In the technical solution provided in step S206, after processing the electricity data, the method further comprises: determining the data missing rate of the electric meter, wherein the data missing rate is the proportion of electricity data with null electricity readings in all electricity data; in the case where the data missing rate is greater than a second preset threshold, it is determined that the electric meter has a fault; in the case where it is determined that the electric meter has a fault, a fault alarm prompt is displayed through the display interface.

[0076] In an optional embodiment, a total of 4000 local stations are tested. Before correction (before processing the electricity data), the integrity rate is only 53%. Through automatic data completion, the integrity rate of daily electricity data can be close to 90%, and the remaining 10% are long-term lost electric meters that need to be repaired in time, effectively reducing the workload of manual correction of maintenance personnel. According to the correction of one meter from on-site viewing to software modification, it takes 30 minutes, 4000*(90%-53%)=1480 minutes, effectively saving the maintenance personnel's work for nearly 3 days / month.

[0077] Optionally, the long-term lost electric meter (i.e., the electric meter with a fault) is determined by the data missing rate. In the case where the data missing rate is greater than a second preset threshold, it is determined that the electric meter has a fault. In the case where it is determined that the electric meter has a fault, a fault alarm prompt is displayed through the display interface to prompt the maintenance personnel to repair the electric meter.

[0078] Step S208, determining the metering index value according to the processed electricity data, and displaying the metering index value on the display interface.

[0079] Optionally, by sequentially making the above-mentioned meter building, data cleaning, and completion processing capabilities into independent atomic capabilities and registering them as APIs, the drawing and presentation page on the intelligent workbench can be realized, and the maintenance personnel can freely present the meter acquisition, metering, and analysis in front of the maintenance personnel. According to the characteristics of the maintenance personnel, the interface customization can be personalized to improve the overall operation and maintenance efficiency.

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

[0081] Optionally, a presentation page API is established, which is mainly divided into five aspects of total power of the station, electricity billing power, industry and finance consistency rate, air conditioning energy consumption of the station, PUE of the station, and station coverage. The five aspects will in turn establish corresponding APIs, and finally be presented in the "canvas" of the intelligent workbench. The display interface is as shown in Figure 6 The figure shows that according to the needs, similar column chart, map and ring chart can also be customized to increase the performance, and finally form the energy consumption comprehensive measurement and statistics page (i.e. the display interface) of the station.

[0082] In the technical solution provided in step S208, the measurement index value includes total energy consumption in a preset period. After determining the measurement index value according to the processed power data, the method further includes: in the case that the total energy consumption corresponding to the electric meter is greater than the corresponding energy consumption threshold, determining that the machine room corresponding to the electric meter has energy consumption anomaly; in the case that 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 anomaly; in the case of determining that there is energy consumption anomaly, sending an energy consumption anomaly alarm prompt to the display interface.

[0083] Optionally, the measurement index value mainly measures the total energy consumption, PUE of the station and the electric meter on a daily, monthly and yearly basis, helps the maintenance personnel to quickly locate the energy-consuming equipment, and timely maintenance and processing. In the case that the total energy consumption is greater than the corresponding threshold, an energy consumption anomaly alarm prompt is sent to the display interface. The display page presents the results of data collection, processing and analysis in a graphical manner, reduces the data threshold for the maintenance personnel, realizes timely early warning of the station energy consumption anomaly, helps the maintenance personnel to reasonably plan the air flow organization of the machine room, and ensures the safety of the machine room cooling.

[0084] Under the above operating environment, the embodiment of the present application provides a communication station energy consumption measurement method. The relevant station, equipment, resource static data are acquired, and the smart electric meter data is monitored in real time. The smart electric meter reading is acquired in a timely and accurate manner. The data analysis, processing and analysis module is established, so as to accurately analyze the station energy consumption. Finally, the station energy consumption is presented in a graphical manner in the intelligent workbench. The network of each system and atomic capability configuration platform is connected, so that the interfaces can access each other in millisecond level, and thus the whole system can work in production. Specifically, the steps include:

[0085] 1. Obtain the communication station, machine room and equipment table from the big data lake, which includes the following two kinds of dimension tables. Machine room station table: machine room name, machine room code, belonging station name, belonging station code, station address GPS; equipment table: equipment name, equipment code, belonging machine room, belonging machine room code.

[0086] Example: Acquired machine room station table: XX second long second floor data machine room, NJGJSJZX02, XX data center, XXSJZX, 118.738524, 32.029282, acquired equipment table: switch power supply 01, KGDY01, XX second long second floor data machine room, NJGJSZX02.

[0087] 2. Develop a machine room station matching API, which automatically associates the nearest machine room and station based on GPS information and device information, and automatically associates the station, equipment, meter, and type: Use the comprehensive configuration platform of the operation and protection center to establish a station positioning correlation API. The input parameters are GPS data obtained by the WeChat applet, on-site device scan code data, and smart meter name data. The output parameters are energy consumption metering correlation relationships in 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. Develop a lightweight WeChat applet that can directly call the camera function to scan the meter code and obtain the device code, obtain the phone's location information, call the station matching API, and form a correlation data string.

[0089] 4. Develop a data acquisition API that receives small-scale correlated data at all times. When the data format is complete and consistent with the station and machine room in the database, store and return success.

[0090] Example: Maintenance personnel open the mobile phone WeChat applet to automatically obtain GPS information, scan on-site equipment cable data, and scan smart meter tag data. At this time, the applet will automatically associate the nearest station information based on GPS data, use the on-site equipment code, automatically set the power collection to the station total, and associate the input smart meter data: XX data center, XXSJZX, station total, smart meter 01.

[0091] 5. Obtain monthly electricity payment records from the big data lake, and obtain the corresponding payment household number from the station address attribute. Expand the data from the previous step to include: smart meter name, station / machine room name, code, type, and household number.

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

[0093] 6. Establish a data cleaning link to use the astype() function to standardize the format of the smart meter power reading data collected by the control and collection system, and convert it into a standard time format and numerical format.

[0094] Example:

[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 rows and columns containing missing data. This step mainly deletes incomplete data transmission. Combined with the judgment function, data that is too large (the change compared with the previous hour exceeds the preset threshold, such as 100% or 50%) and too small (the change compared with the previous hour exceeds the preset threshold, such as 100% or 50%) will also be deleted to ensure the cleanliness of the meter power reading.

[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 time axis 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. We further rename them, discard the non-missing rows, and insert them into the original series.

[0110] Examples:

[0111]

[0112]

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

[0114] 13、Establish a data supplement link, first read the data.

[0115] Example:

[0116]

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

[0118] Example:

[0119]

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

[0121] 16、Optimize the data cleaning, data monitoring, and data supplement link for the comparison chart, so that it finally forms a "smooth" time series line, which is infinitely close to the actual situation.

[0122] 17、With the help of the comprehensive configuration platform of the operation and protection center, establish a station positioning correlation and API, its input parameters are the GPS data obtained by the WeChat applet, the on-site device scanning two-dimensional code data, and the smart meter name data, and its output parameters are the energy consumption metering correlation relationship in the station dimension: station name, station code, meter type (station total, device total, air conditioning total), smart meter name, corresponding household number data.

[0123] 18、Establish a data processing API, which is mainly divided into three stages of data cleaning, data comparison, and data completion, its input parameters are the smart meter readings collected by the sampling and control system, usually: smart meter name, code, collection date, reading, output parameters are the data processed every hour, the data column is consistent with the input parameters.

[0124] 19、Establish a data analysis API, which calls the data processing API and correlation API in sequence according to time to calculate the daily electricity quantity, input parameters: smart meter name, code, collection date, reading, output parameters: station name, station code, meter type (station total, device total, air conditioning total), daily electricity quantity, date, corresponding household number data.

[0125] 20、Establish a presentation page API, which is mainly divided into five aspects of station total electricity, electricity bill electricity, industry and finance consistency rate, station air conditioning energy consumption, station PUE, and station coverage. These 5 aspects will establish corresponding APIs in sequence.

[0126] 21, Finally in the "canvas" of the smart workbench, here you can also according to their own needs, customization similar column chart, map, ring chart to increase the performance, eventually form the energy consumption of the station comprehensive measurement statistics page.

[0127] Through the above steps, an end-to-end energy consumption measurement method can be realized which can directly start from the device source: by constructing a mobile phone APP smart meter simple network software, using the resource bureau station address GPS data, in the installation of the meter, using the mobile phone APP positioning, automatically registering and managing the installed meter, reducing the workload of the field maintenance personnel manually adjusting the meter; relying on the Python analysis model to analyze the collected smart meter data, after data cleaning, automatically organizing the complete data collected at each time point, making the missing data explicit, using linear interpolation algorithm to automatically supplement the missing data, through the completion of the data can greatly reduce the measurement of the missing daily power, especially the longer the time axis is pulled, the more the integrity of the overall daily power can be improved; solve the problem of data loss caused by the stability of the smart meter, and identify the truly damaged smart meter, and timely send hidden danger single to the field for timely repair, to ensure the accuracy of energy consumption measurement; with the powerful decoupling ability of the new generation of each system, each collection module, analysis module, early warning module and presentation module are respectively modularized, a data collection, processing, analysis and presentation environment based on the new generation of modular concept is established, which automatically cleans, models, supplements, analyzes and presents the data reported by the smart meter, each module can be run alone or called by any other module, and has strong compatibility, finally a highly flexible and self-configurable machine room energy consumption measurement method is realized, which helps the maintenance personnel to individualize each module according to their actual needs, and realizes various customized measurement business requirements. From the aspects of meter installation and management, power collection and energy consumption analysis, the traditional energy consumption measurement is restructured and optimized, which solves the pain point of manual system selection of associated meters-stations-house numbers for maintenance personnel, solves the difficulty of power push affected by network and hardware devices, and solves the key point that the main personnel cannot quickly realize individualized needs by self-configuration.

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

[0129] (1) Establish station site positioning association ability automatic management association: effectively solve the problem of large workload relying on manual selection of electric meter. Through the multi-dimensional data acquisition capability of big data lake, the station site and equipment information are collected, combined with the lightweight app, the collected GPS information, equipment two-dimensional code, smart meter two-dimensional code and other data are effectively combined, and automatically associated through one scan and one binding during the installation of the smart meter. The use of automation reduces the time of manual management, ensures that the maintenance personnel invest time in the safe maintenance of the machine room, reduces the manual workload of maintenance personnel in installing, configuring and associating smart meters, and uses automatic tools to complete the installation at one key. A medium station has about 10 smart meters (including machine room), and if manual configuration is used according to the previous method, each measurement point is expected to take about 10 minutes to configure, and a station is 100 minutes. The method can automatically manage, configure and modify according to the GPS and the detected equipment. If it is popularized to the whole province, it can effectively improve the installation and configuration efficiency of the electric meter by 35%.

[0130] (2) Establish data cleaning and completion capability: effectively solve the problem of missing data relying on smart meter stability. Through the atomic capability self-configuration module of the new generation operation and protection center, three process submodules of data cleaning, data monitoring and data completion are established, which adopt serial working mode, effectively solve the problem of inaccurate data caused by smart meter itself, network problem, reduce the traditional manual data correction method, reduce the number of hidden trouble work orders that need to be maintained manually, and improve the accuracy of machine room energy consumption measurement. The problem of inaccurate data collection of smart meters needs to be manually corrected. In the embodiments of the application, the maintenance personnel can log in to the system every day to check whether the power data actively sent by the smart meter is accurate. If it is not accurate, the maintenance personnel will be notified to correct it in time to avoid energy consumption measurement errors.

[0131] (3) Through data measurement API, effectively solve the problem of poor flexibility relying on hard code architecture. According to the modular operation concept of the new generation system, each processing module is independently configured, each module forms a separate API, and can be called in series or in parallel to support field maintenance personnel to freely combine according to the individual needs of customers, improve the flexibility of the system in the later stage, increase the convenience of system iteration, and make the maintenance personnel not only users, but also low-code developers, organically combine maintenance and operation.

[0132] The embodiment of the application provides a data storage device, Figure 7 is a structural schematic diagram of the device, like Figure 7As shown, the apparatus comprises: a first acquisition module 70, configured to acquire device information of the electric meter sent by the mobile terminal, determine a target communication station, a target machine room and a target household number corresponding to the electric meter according to the device information, wherein the device information comprises an electric meter device code, electric meter geographic location information, the electric meter device code is acquired by scanning a two-dimensional code on the electric meter through the mobile terminal, and the electric meter geographic location information is acquired through a positioning program of the mobile terminal; a first association module 72, configured to associate the electric meter with the target communication station, the target machine room and the target household number, and complete registration of the electric meter; a second acquisition module 74, configured to receive power data of the registered electric meter, and process the power data, wherein the processing at least comprises data completion; and a first metering module 76, configured to determine a metering index value according to the processed power data, and display the metering index value on a display interface.

[0133] In some embodiments of the present application, the first acquisition module 70 comprises: determining a communication station closest to the geographic location of the electric meter as the target communication station corresponding to the electric meter according to the electric meter geographic location information; determining a machine room closest to the geographic location of the electric meter as the target machine room corresponding to the electric meter according to the electric meter geographic location information; acquiring an electricity charge payment record corresponding to the target communication station, wherein the electricity charge payment record comprises the target communication station and a household number corresponding to the target communication station; and taking the household number corresponding to the target communication station as the target household number corresponding to the electric meter.

[0134] In some embodiments of the present application, the power data is cleaned by: deleting power data in which a field with missing data exists; deleting abnormal power data in the power data, wherein the change degree of the power reading of the abnormal power data relative to the power reading of a preset time point is greater than a first preset threshold; and deleting repeated power data in the power data.

[0135] In some embodiments of the present application, after the power data is cleaned, the method further comprises: periodically detecting whether the power data of the electric meter is received according to a preset period; and in the case that no power data is detected within any one preset period, a new power data record is created, and the power reading of the power data record is set to a null value.

[0136] In some embodiments of the present application, the power data is completed by: determining a first time point corresponding to the power data whose power reading is a null value; acquiring a second time point power reading and a third time point power reading according to the first time point, wherein the second time point represents a time before the first time point, and the third time point represents a time after the first time point; and determining the power reading of the power data according to the second time point power reading and the third time point power reading.

[0137] In some embodiments of the present application, after the second acquisition module 74 processes the power data, the method further comprises: determining the data missing rate of the electric meter, wherein the data missing rate is the proportion of the power data with null power readings in all power data; determining that the electric meter has a fault in the case that the data missing rate is greater than a second preset threshold; and displaying a fault alarm prompt on the display interface in the case that the electric meter is determined to have a fault.

[0138] In some embodiments of the present application, the metering index value includes the total energy consumption in a preset period, and after the metering index value is determined according to the processed power data, the method further comprises: determining that the machine room corresponding to the electric meter has abnormal energy consumption in the case that the total energy consumption corresponding to the electric meter is greater than a corresponding energy consumption threshold; determining that the communication station has abnormal energy consumption in the case that the total energy consumption corresponding to the communication station is greater than a corresponding energy consumption threshold; and sending an energy consumption abnormality alarm prompt to the display interface in the case that abnormal energy consumption is determined to exist.

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

[0140] The embodiments of the present application provide a non-volatile storage medium, and the non-volatile storage medium stores a program, wherein when the program is running, the device in which the non-volatile storage medium is located performs the following communication station energy consumption metering method: obtaining device information of an electric meter sent by a mobile terminal, determining a target communication station, a target machine room and a target household number corresponding to the electric meter according to the device information, wherein the device information includes an electric meter device code, electric meter geographic location information, the electric meter device code is obtained by scanning a two-dimensional code on the electric meter through the mobile terminal, and the electric meter geographic location information is obtained through a positioning program of the mobile terminal; associating the electric meter with the target communication station, the target machine room and the target household number to complete the registration of the electric meter; receiving power data of the registered electric meter, processing the power data, wherein the processing at least includes data completion; determining a metering index value according to the processed power data, and displaying the metering index value on a display interface.

[0141] The embodiment of the application provides an electronic device, comprising a memory and a processor, the processor is used for running a program stored in the memory, wherein the program performs the following communication station energy consumption metering method when running: obtaining device information of a power meter sent by a mobile terminal, determining a target communication station, a target machine room and a target household number corresponding to the power meter according to the device information, wherein the device information comprises power meter device coding, power meter geographic location information, the power meter device coding is obtained by scanning a two-dimensional code on the power meter through the mobile terminal, and the power meter geographic location information is obtained through a positioning program of the mobile terminal; associating the power meter with the target communication station, the target machine room and the target household number, completing registration of the power meter; receiving power data of the registered power meter, processing the power data, wherein the processing at least comprises data completion; determining a metering index value according to the processed power data, and displaying the metering index value on a display interface.

[0142] The embodiment of the application provides a computer program product, comprising a computer program, the computer program implements the following communication station energy consumption metering method when being executed by a processor: obtaining device information of a power meter sent by a mobile terminal, determining a target communication station, a target machine room and a target household number corresponding to the power meter according to the device information, wherein the device information comprises power meter device coding, power meter geographic location information, the power meter device coding is obtained by scanning a two-dimensional code on the power meter through the mobile terminal, and the power meter geographic location information is obtained through a positioning program of the mobile terminal; associating the power meter with the target communication station, the target machine room and the target household number, completing registration of the power meter; receiving power data of the registered power meter, processing the power data, wherein the processing at least comprises data completion; determining a metering index value according to the processed power data, and displaying the metering index value on a display interface.

[0143] In the above-mentioned embodiments of the application, the description of each embodiment has its own focus, and the parts not described in detail in a certain embodiment can be referred to the related description of other embodiments.

[0144] In the several embodiments provided by the present application, it should be understood that the disclosed technology can be implemented in other ways. Of course, the unit division in the above-mentioned device embodiment is only a logical function division, and there can be another division manner during 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. In addition, the displayed or discussed mutual couplings or direct couplings or communication connections between different parts can be indirect couplings or communication connections through some interfaces, units or modules, and can be electrical or other forms.

[0145] The units described as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment scheme.

[0146] In addition, the functional units in each embodiment of the present application can be integrated in one processing unit, or each unit can be physically present alone, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.

[0147] The integrated unit, if realized in the form of a software functional unit and sold or used as an independent product, can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application or the part that contributes to the related art or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The foregoing storage medium includes: a U disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a mobile hard disk, a magnetic disk or an optical disk, and various program code storage media.

[0148] The above is only the preferred embodiment of the present application, and it should be pointed out that for those skilled in the art, without departing from the principles of the present application, a number of improvements and refinements can be made, which should be considered as the protection scope of the present application.

Claims

1. A method for metering energy consumption of a communication station, characterized by, The method comprises the following steps: obtaining the device information of the electric meter sent by the mobile terminal, determining the target communication station, the target machine room and the target household number corresponding to the electric meter according to the device information, wherein the communication station closest to the geographic 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; the machine room closest to the geographic location of the electric meter is determined as the target machine room corresponding to the electric meter according to the geographic location information of the electric meter; obtaining the electricity charge payment record corresponding to the target communication station, wherein the target communication station and the household number corresponding to the target communication station are included in the electricity charge payment record; the household number corresponding to the target communication station is taken as the target household number corresponding to the electric meter; the device information includes the electric meter device code, and the electric meter device code is obtained by scanning the two-dimensional code on the electric meter through the mobile terminal; the geographic location information of the electric meter is obtained through the positioning program of the mobile terminal; associating the electric meter with the target communication station, the target machine room and the target household number, and completing the registration of the electric meter; receiving the electric quantity data of the registered electric meter, and processing the electric quantity data, wherein the processing at least includes data completion, and the electric quantity data is completed by the following method: determining the first time point corresponding to the electric quantity data with empty value of electric quantity reading; obtaining the electric quantity reading of the second time point and the electric quantity reading of the third time point according to the first time point, wherein the time represented by the second time point is before the first time point, and the time represented by the third time point is after the first time point; determining the electric quantity reading of the electric quantity data according to the electric quantity reading of the second time point and the electric quantity reading of the third time point; determining the metering index value according to the processed electric quantity data, and displaying the metering index value on the display interface.

2. The method of claim 1, wherein, The electric quantity data is cleaned by the following method: deleting the electric quantity data with missing data in the electric quantity data; deleting the abnormal electric quantity data in the electric quantity data, wherein the change degree of the electric quantity reading of the abnormal electric quantity data relative to the electric quantity reading of the preset time point is greater than the first preset threshold value; deleting the repeated electric quantity data in the electric quantity data.

3. The method of claim 2, wherein, After the electric quantity data is cleaned, the method further comprises: periodically detecting whether the electric quantity data of the electric meter is received according to a preset period; in the case that the electric quantity data is not detected in any one preset period, a new electric quantity data record is created, and the electric quantity reading of the electric quantity data record is set to empty value.

4. The method of claim 1, wherein, After the electric quantity data is processed, the method further comprises: determining the data missing rate of the electric meter, wherein the data missing rate is the proportion of the electric quantity data with empty value of electric quantity reading in the total electric quantity data; in the case that the data missing rate is greater than the second preset threshold value, it is determined that the electric meter has a fault; in the case that it is determined that the electric meter has a fault, a fault alarm prompt is displayed on the display interface.

5. The method of claim 1, wherein, The metering index value includes total energy consumption in a preset period. After determining the metering index value according to the processed electric quantity data, the method further includes: In the case where the total energy consumption corresponding to the electric meter is greater than the corresponding energy consumption threshold, it is determined that the machine room corresponding to the electric meter has energy consumption anomaly; In the case where the total energy consumption corresponding to the communication station is greater than the corresponding energy consumption threshold, it is determined that the communication station has energy consumption anomaly; In the case where it is determined that there is energy consumption anomaly, an energy consumption anomaly alarm prompt is sent to the display interface.

6. A communication station energy consumption metering apparatus, characterized by comprising: Comprise: The first acquisition module is used for acquiring the device information of the electric meter sent by the mobile terminal, and determining the target communication station, target machine room and target household number corresponding to the electric meter according to the device information. According to the geographic location information of the electric meter, the communication station closest to the geographic 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, the machine room closest to the geographic location of the electric meter is determined as the target machine room corresponding to the electric meter. The electricity payment record corresponding to the target communication station is acquired, wherein the electricity payment record includes the target communication station and the household number corresponding to the target communication station. The household number corresponding to the target communication station is taken as the target household number corresponding to the electric meter. The device information includes the electric meter device code and the geographic location information of the electric meter. The electric meter device code is acquired by scanning the two-dimensional code on the electric meter through the mobile terminal. The geographic location information of the electric meter is acquired through the positioning program of the mobile terminal. The first association module is used for associating the electric meter with the target communication station, target machine room and target household number, and completing the registration of the electric meter. The second acquisition module is used for receiving the electric quantity data of the registered electric meter, and processing the electric quantity data. The processing at least includes data completion. The electric quantity data is completed by data as follows: determining the first time point corresponding to the electric quantity data with null electric quantity reading; acquiring the electric quantity reading of the second time point and the electric quantity reading of the third time point according to the first time point, wherein the time represented by the second time point is before the first time point, and the time represented by the third time point is after the first time point; determining the electric quantity reading of the electric quantity data according to the electric quantity reading of the second time point and the electric quantity reading of the third time point. The first metering module is used for determining the metering index value according to the processed electric quantity data, and displaying the metering index value on the display interface.

7. A non-volatile storage medium, characterized by The non-volatile storage medium stores a program, wherein when the program runs, the device where the non-volatile storage medium is located executes the communication station energy consumption metering method in any one of claims 1 to 5.

8. An electronic device, comprising: Comprise: The memory and the processor are used for running the program stored in the memory, wherein when the program runs, the communication station energy consumption metering method in any one of claims 1 to 5 is executed.

9. A computer program product comprising a computer program, characterized in that, The computer program is executed by a processor to implement the communication station energy consumption metering method according to any one of claims 1 to 5.

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