Single-phase charge-control intelligent electric energy meter and intelligent metering system thereof

Abstract

The invention discloses a single-phase charge-control intelligent electric energy meter and an intelligent metering system thereof, relates to the technical field of electric variable measurement, and aims to solve the technical problem of inaccurate metering of the existing intelligent electric energy meter, and the single-phase charge-control intelligent electric energy meter comprises a working electric quantity calculation module which is connected to a power grid and is used for counting the electric quantity when the electric energy meter works and storing the electric quantity in a memory; the non-working electric quantity calculation module is used for calculating the electric quantity when the electric meter does not work; the working electric quantity calculation module further comprises a first processing unit which is used for calculating the working electric quantity consumed when the electric meter works according to the working duration of the electric meter; the first calculation unit is used for receiving the working electric quantity from the first processing unit, calculating corrected electric quantity according to the working electric quantity and historical electric quantity data stored in the memory, and transmitting the corrected electric quantity to the correction unit; and the correction unit is used for receiving the correction electric quantity transmitted by the first calculation unit and correcting the working electric quantity. The method has the advantage of improving the electricity metering accuracy of the electricity meter.

Description

Technical Field

[0001] The present invention relates to the technical field of electric variable measurement, and more specifically to a single-phase fee-controlled intelligent electric energy meter and an intelligent metering system thereof. Background Art

[0002] The current smart energy meter has the problem of inaccurate calculation of the amount of electricity consumed by the energy meter, which is specifically reflected in the following two aspects: On the one hand, when the meter is working, the smart meter can accurately measure the electricity, but the electricity consumption of the meter itself is generally calculated by subtracting the current electricity from the initial electricity at the factory. This electricity consumption is stored in the memory when the meter is not working, and is subtracted in subsequent measurements. However, the initial electricity data of the meter when it leaves the factory is not visible, or the electricity consumption of the meter itself has been erased due to a long period of time, resulting in inaccurate calculation results in this way, because the electricity consumption of the meter itself may change significantly due to various situations; On the other hand, the energy meter itself is even weaker in calculating the power consumption when not working. The power consumption of the energy meter when not working is mainly caused by the sleep current of the MCU and the residual data in the memory. At present, a fixed value is directly set as the sleep current for the power consumption of the energy meter when not working. But in fact, the sleep current of the energy meter will change under various working environment temperature conditions and the influence of working time. For example, in colder areas, when the ambient temperature is below 0℃, the sleep current of the energy meter is significantly greater than the sleep current in the tropics. The longer the working time, the lower the startup voltage of the MCU processing work, resulting in a significant decrease in the sleep current. The current changes caused by these factors are directly added to the total power consumption, which will inevitably lead to inaccurate data. There are also various voltage levels, pulses and other temporary data in the memory of the meter. Their presence in the memory is also the main reason for the power consumption of the meter.

[0003] If the electricity consumption of the electric meter is inaccurate, the electricity consumption data of the entire downstream load will be erroneous, which will lead to inaccurate electricity measurement. In view of this, we propose a single-phase fee-controlled smart electric energy meter and its smart metering system. Summary of the invention

[0004] The object of the present invention is to provide a single-phase fee-controlled intelligent energy meter and an intelligent metering system thereof, so as to solve the technical problem of inaccurate measurement of existing intelligent energy meters.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: a single-phase fee-controlled smart energy meter intelligent metering system, comprising: The working power calculation module is connected to the power grid and is used to count the power consumption of the meter when it is working and store it in the memory; A non-working power calculation module is used to calculate the power consumption when the meter is not working; The working power calculation module also includes: The first processing unit is used to calculate the working power consumed by the electric meter when it is working according to the working time of the electric meter; A first calculation unit is used to receive the working power from the first processing unit, calculate the correction power according to the working power and the historical power data stored in the memory, and transmit the correction power to the correction unit; A correction unit, used for receiving the correction power transmitted by the first calculation unit and correcting the working power; The non-working power calculation module also includes: A current measuring unit is used to detect the magnitude of the current flowing through the ammeter; The second processing unit is connected to the current measuring unit, and is used for receiving the current data transmitted by the current measuring unit, and calculating the non-working power of the electric meter according to the current data.

[0006] Preferably, the specific method for the first processing unit to calculate the working power consumed by the electric meter when it is working is: The first processing unit obtains the rated power of the electric meter when it is working and working hours , and according to the formula Calculate the working power ; The historical electricity data stored in the memory includes electricity data corresponding to several time points in the past of the current time period. The first calculation unit also includes a statistical unit, which is connected to the electricity meter and is used to count the electricity data of several consecutive time periods when the electricity meter is working, and save them in the memory. The electricity data for several time periods include the dates of several time periods, the electricity within the dates, and the electricity power within the dates.

[0007] Preferably, the first calculation unit calculates the correction power by: Get the temperature value of the smart energy meter and voltage value , according to the temperature value and voltage value Determine the corresponding temperature coefficient and voltage coefficient ; Get the current time before Daily power data within a cycle And the power consumption of the corresponding date in the historical power consumption data , The sum of the daily power data in a cycle is ,in, for The sum of the daily electricity data in a cycle, for The number of days in a cycle; Calculate the corrected power ; Introducing ambient humidity The influence of humidity on the correction power is: ,and ,in, , and are all fitting constants, so the correction formula for electric quantity is modified to ; Introducing the aging factor of the meter Impact on power calculation, aging factor It is about the usage time of the meter The function of ,in, , and is the fitting constant, is a natural constant, and the aging factor Incorporating this into the correction power formula yields .

[0008] Preferably, the method for the correction unit to correct the working power is: The correction unit corrects the amount of electricity sent by the first calculation unit Working power when working with the meter When the calibration charge is compared Greater than working power When the weight coefficient is introduced to comprehensively consider the impact of historical data and current data on the correction of working power, the power data of each day in the current time period is The corresponding weight is , the electricity consumption on the corresponding date in the historical data The corresponding weight is ,and ,in, The number of days involved in the statistics, for the electricity data of several time periods, find the electricity of the corresponding date in the historical data respectively. The electricity in the current time period is recorded as , the electricity consumption on the corresponding date in the historical data is recorded as , corrected working power The calculation is as follows: .

[0009] Among them, the weight coefficient and According to the power consumption stability and data reliability factors in different time periods, a linear regression model can be used to train the power consumption stability index and data reliability index as independent variables and the weight coefficient as the dependent variable to obtain the optimal value of the weight coefficient.

[0010] Preferably, the second processing unit is connected to a power correction unit, and the power correction unit is used to average the non-working power transmitted from the second processing unit within several cycles and use the average value as the power data.

[0011] Preferably, the current measurement unit calculates the non-working power by: Introducing harmonic components The impact on current measurement is is the measured current as a function of time, ,in, is the measured current as a function of time, For the The amplitude of the subharmonics, is the fundamental angular frequency, For the The phase of the subharmonics, Indicates the upper limit of harmonic order, the effective value of current actually measured by the current measurement unit The second processing unit is based on Calculate non-operating power , ,in, is the internal equivalent resistance of the meter, The non-working time of the meter.

[0012] Preferably, the current measurement unit also considers electromagnetic interference in its calculation method for non-working power. The influence of electromagnetic interference factor is ,in, is the distance from the meter to the interference source, and is a constant, then the corrected non-working power formula is .

[0013] A single-phase fee-controlled intelligent electric energy meter, comprising a front cover body and a rear cover body that are symmetrically detachably connected; A data processor is arranged inside the rear cover body, and a temperature sensor for detecting the temperature inside the electric meter and a temperature sensor for detecting the humidity inside the electric meter are detachably installed on the side of the data processor. The data processor also has a working power calculation module for calculating the power of the electric meter in a working state, a non-working power calculation module for calculating the power of the electric meter in a non-working state, and a memory.

[0014] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention uses a working power calculation module and a non-working power calculation module to accurately count the power consumption of the meter when it is working and when it is not working. The working power calculation module calculates the working power according to the working time and the rated power, and calculates the correction power in combination with the historical power data, temperature, voltage, humidity and the meter aging factor to correct the working power. The current measurement unit of the non-working power calculation module detects the current, and the second processing unit calculates the non-working power according to the effective value of the current, and corrects it by considering the influence of harmonic components and electromagnetic interference. This makes the meter power measurement more accurate, effectively avoids the billing deviation caused by the inaccurate calculation of the meter's own power consumption, and solves the problem of inaccurate measurement of existing smart electric energy meters.

[0015] 2. The present invention also determines the corresponding coefficients by obtaining temperature values ​​and voltage values, introduces humidity influence coefficients and aging factors, and constructs a correction electricity calculation formula, so that the electricity calculation can adapt to different environmental conditions and meter aging conditions. Compared with traditional metering methods, it can more accurately reflect the actual electricity consumption. Even when the environmental conditions are complex and changeable or the meter is aged due to long-term use, the accuracy of electricity metering can still be ensured, thereby ensuring the reliability of electricity metering in various scenarios.

[0016] 3. The statistical unit in the working power calculation module of the present invention can count the power data of several consecutive time periods when the meter is working, including the date, the power within the date and the power consumption, and save it to the memory. These rich data are beneficial for power companies to conduct power data analysis, user power consumption behavior research and power grid optimization. Provide a solid data base. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a schematic diagram of the system framework of the present invention; Figure 2 It is a structural schematic diagram of the present invention; Figure 3 For the present invention Figure 2 Schematic diagram of the splitting.

[0018] Description of the numbers in the figure: 1. Front cover; 2. Rear cover; 3. Data processor; 4. Temperature sensor; 5. Humidity sensor. DETAILED DESCRIPTION

[0019] In order to facilitate those skilled in the art to understand the technical solution of the present invention, the technical solution of the present invention is further described in conjunction with the accompanying drawings of the specification.

[0020] Embodiment 1, as Figure 1As shown, a single-phase fee-controlled smart energy meter intelligent metering system comprises: The working power calculation module is connected to the power grid and is used to count the power consumption of the meter when it is working and store it in the memory; A non-working power calculation module is used to calculate the power consumption when the meter is not working; The working power calculation module also includes: The first processing unit is used to calculate the working power consumed by the electric meter when it is working according to the working time of the electric meter; A first calculation unit is used to receive the working power from the first processing unit, calculate the correction power according to the working power and the historical power data stored in the memory, and transmit the correction power to the correction unit; A correction unit, used for receiving the correction power transmitted by the first calculation unit and correcting the working power; The non-working power calculation module also includes: A current measuring unit is used to detect the magnitude of the current flowing through the ammeter; The second processing unit is connected to the current measuring unit, and is used for receiving the current data transmitted by the current measuring unit, and calculating the non-working power of the electric meter according to the current data.

[0021] In an embodiment of the invention, the specific method for the first processing unit to calculate the working power consumed by the electric meter when it is working is: The first processing unit obtains the rated power of the electric meter when it is working and working hours , and according to the formula Calculate the working power , where the rated power is the power of the smart meter when it is working normally at the rated working voltage; The historical electricity data stored in the memory includes electricity data corresponding to several time points in the past of the current time period. The first calculation unit also includes a statistical unit, which is connected to the electricity meter and is used to count the electricity data of several consecutive time periods when the electricity meter is working, and save them in the memory. The electricity data of several time periods include the dates of several time periods, the electricity within the dates, and the electricity power within the dates.

[0022] In an embodiment of the invention, the first calculation unit calculates the calibration power in the following manner: Get the temperature value of the smart energy meter and voltage value , according to the temperature value and voltage value Determine the corresponding temperature coefficient and voltage coefficient ; Get the current time before Daily power data within a cycle And the power consumption of the corresponding date in the historical power consumption data , The sum of the daily power data in a cycle is ,in, for The sum of the daily electricity data in a cycle, for The number of days in a cycle; Calculate the corrected power ; Introducing ambient humidity The influence of humidity on the correction power is: ,and ,in, , and are all constants obtained by fitting the experimental data, so the correction formula for electric quantity is modified to: ; Introducing the aging factor of the meter Impact on power calculation, aging factor It is about the usage time of the meter The function of ,in, , and is the constant obtained by fitting the experimental data, is a natural constant, and the aging factor Incorporating this into the correction power formula yields .

[0023] In an embodiment of the invention, the method for the correction unit to correct the working power is: The correction unit corrects the amount of electricity sent by the first calculation unit Working power when working with the meter For comparison, when the calibration Greater than working power When the weight coefficient is introduced to comprehensively consider the impact of historical data and current data on the correction of working power, the power data of each day in the current time period is The corresponding weight is , the electricity consumption on the corresponding date in the historical data The corresponding weight is ,and ,in, The number of days involved in the statistics, for the electricity data of several time periods, find the electricity of the corresponding date in the historical data respectively. The electricity in the current time period is recorded as , the electricity consumption on the corresponding date in the historical data is recorded as , corrected working power The calculation is as follows: .

[0024] Among them, the weight coefficient and According to the power consumption stability and data reliability factors in different time periods, a linear regression model can be used to train the power consumption stability index and data reliability index as independent variables and the weight coefficient as the dependent variable to obtain the optimal value of the weight coefficient.

[0025] In an embodiment of the invention, the second processing unit is connected to an electric quantity correction unit, and the electric quantity correction unit is used to average the electric quantity in several cycles for the non-working electric quantity transmitted from the second processing unit, and use the average value as the electric quantity data; The current measurement unit calculates the non-working power as follows: Introducing harmonic components The impact on current measurement is is the measured current as a function of time, ,in, is the measured current as a function of time, For the The amplitude of the subharmonics, is the fundamental angular frequency, For the The phase of the subharmonics, Indicates the upper limit of harmonic order, the effective value of current actually measured by the current measurement unit The second processing unit is based on Calculate non-operating power , ,in, is the internal equivalent resistance of the meter, The non-working time of the electric meter; The current measurement unit also takes electromagnetic interference into account when calculating the non-operating power. The influence of, assuming the electromagnetic interference factor is ,in, is the distance from the meter to the interference source, and is a constant, then the corrected non-working power formula is .

[0026] Embodiment 2, as Figure 2 and Figure 3 As shown, a single-phase fee-controlled smart energy meter comprises a front cover body 1 and a rear cover body 2 which are symmetrically detachably connected; A data processor 3 is provided inside the rear cover body 2, and a temperature sensor 4 for detecting the temperature inside the meter and a temperature sensor 5 for detecting the humidity inside the meter are detachably installed on the side of the data processor 3. The data processor 3 also has a working power calculation module for calculating the power of the meter in the working state, a non-working power calculation module for calculating the power of the meter in the non-working state, and a memory.

[0027] Embodiment 3, as Figure 1 As shown: Initial data acquisition: Assume that the rated working voltage of the smart meter is 220V and the rated power is The power consumption is 2000W. On a certain day, the meter works for For 10 hours, according to the calculation method of the first processing unit, using the formula , the working power can be preliminarily calculated ; Correction power calculation: Environmental parameter acquisition: During this time period, obtain the average temperature value of the environment where the smart energy meter is located ℃, average voltage value V, determine the temperature coefficient , voltage coefficient ; Electricity data statistics: The first calculation unit obtains the current time one month before ( Month, Daily power data within 1 day And the power consumption of the corresponding date in the historical power consumption data , let the sum of the daily electricity data within this month be , the sum of the electricity consumption on the corresponding date in the historical electricity consumption data 600 , according to the formula Available ; Correction power calculation considering more factors: introducing ambient humidity , the humidity influence coefficient is obtained by fitting the experimental data ,here , , At the same time, the meter has been used for 3 years. ， According to the aging factor formula ( , , ), calculate the aging factor ,, finally calculate the corrected power ; Working power correction: The correction unit will correct the power and For comparison, , introduce the weight coefficient for correction, and determine the daily power data weight in the current time period based on the user's power consumption stability and data reliability , the electricity weight of the corresponding date in the historical data , the number of days participating in the statistics , find the power consumption of the corresponding date in the historical data, and calculate the corrected working power ,but ; Non-working power calculation: Current measurement and calculation: When the meter is not working, the current measurement unit detects the current flowing through the meter. Assume that the function of the measured current changing with time is , calculate the effective value of current according to the formula: , the internal equivalent resistance of the meter is known , non-working time , according to the formula , can be obtained ; Consider electromagnetic interference correction: After testing, the distance between the meter and the nearby interference source m, according to the electromagnetic interference factor formula , Corrected non-working power .

[0028] The embodiments of the present invention disclose preferred embodiments, but are not limited thereto. A person skilled in the art can easily understand the spirit of the present invention based on the above embodiments and make different extensions and changes. However, as long as they do not deviate from the spirit of the present invention, they are all within the protection scope of the present invention.

Claims

1. A single-phase fee-controlled smart energy meter intelligent metering system, characterized in that: include: The working power calculation module is connected to the power grid and is used to count the power consumption of the meter when it is working and store it in the memory; A non-working power calculation module is used to calculate the power consumption when the meter is not working; The working power calculation module also includes: The first processing unit is used to calculate the working power consumed by the electric meter when it is working according to the working time of the electric meter; A first calculation unit is used to receive the working power from the first processing unit, calculate the correction power according to the working power and the historical power data stored in the memory, and transmit the correction power to the correction unit; A correction unit, used for receiving the correction power transmitted by the first calculation unit and correcting the working power; The non-working power calculation module also includes: A current measuring unit is used to detect the magnitude of the current flowing through the ammeter; The second processing unit is connected to the current measuring unit, and is used for receiving the current data transmitted by the current measuring unit, and calculating the non-working power of the electric meter according to the current data.

2. According to claim 1, a single-phase fee-controlled smart energy meter intelligent metering system is characterized in that: The specific method for the first processing unit to calculate the working power consumed by the electric meter when it is working is: The first processing unit obtains the rated power of the electric meter when it is working and working hours , and according to the formula Calculate the working power , wherein the rated power is the power of the smart meter when it is working normally at the rated working voltage; The historical electricity data stored in the memory includes electricity data corresponding to several time points in the past of the current time period. The first calculation unit also includes a statistical unit, which is connected to the electricity meter and is used to count the electricity data of several consecutive time periods when the electricity meter is working, and save them in the memory. The electricity data for several time periods include the dates of several time periods, the electricity within the dates, and the electricity power within the dates.

3. According to claim 2, a single-phase fee-controlled smart energy meter intelligent metering system is characterized in that: The calculation method of the first calculation unit for the correction power is: Get the temperature value of the smart energy meter and voltage value , according to the temperature value and voltage value Determine the corresponding temperature coefficient and voltage coefficient ; Get the current time before Daily power data within a cycle And the power consumption of the corresponding date in the historical power consumption data , The sum of the daily power data in a cycle is ,in, for The sum of the daily electricity data in a cycle, for The number of days in a cycle; Calculate the corrected power ; Introducing ambient humidity The influence of humidity on the correction power is assumed to be ,and ,in, , and are all constants obtained by fitting the experimental data, so the correction formula for electric quantity is modified to: ; Introducing the aging factor of the meter Impact on power calculation, aging factor It is about the usage time of the meter The function of ,in, , and is the constant obtained by fitting the experimental data, is a natural constant, and the aging factor Incorporating this into the correction power formula yields .

4. According to claim 3, a single-phase fee-controlled smart energy meter intelligent metering system is characterized in that: The method for the correction unit to correct the working power is: The correction unit corrects the amount of electricity sent from the first calculation unit Working power when working with the meter When the calibration charge is compared Greater than working power When the weight coefficient is introduced to comprehensively consider the impact of historical data and current data on the correction of working power, the power data of each day in the current time period is The corresponding weight is , the electricity consumption on the corresponding date in the historical data The corresponding weight is ,and ,in, The number of days involved in the statistics, for the electricity data of several time periods, find the electricity of the corresponding date in the historical data respectively. The electricity in the current time period is recorded as , the electricity consumption on the corresponding date in the historical data is recorded as , corrected working power The calculation is as follows: , where the weight coefficient and According to the power consumption stability and data reliability factors in different time periods, a linear regression model can be used to train the power consumption stability index and data reliability index as independent variables and the weight coefficient as the dependent variable to obtain the optimal value of the weight coefficient.

5. A single-phase fee-controlled smart energy meter intelligent metering system according to claim 4, characterized in that: The second processing unit is connected to an electric quantity correction unit, and the electric quantity correction unit is used to average the electric quantity in several cycles for the non-working electric quantity transmitted from the second processing unit, and use the average value as the electric quantity data.

6. A single-phase fee-controlled smart energy meter intelligent metering system according to claim 5, characterized in that: The calculation method of the current measurement unit for the non-working power is: Introducing harmonic components The impact on current measurement is is the measured current as a function of time, ,in, is the measured current as a function of time, For the The amplitude of the subharmonics, is the fundamental angular frequency, For the The phase of the subharmonics, Indicates the upper limit of harmonic order, the effective value of current actually measured by the current measurement unit The second processing unit is based on Calculate non-operating power , ,in, is the internal equivalent resistance of the meter, The non-working time of the meter.

7. A single-phase fee-controlled smart energy meter intelligent metering system according to claim 6, characterized in that: The current measurement unit also considers electromagnetic interference in calculating the non-working power. The influence of electromagnetic interference factor is ,in, is the distance from the meter to the interference source, and is a constant, then the corrected non-working power formula is .

8. A smart energy meter applied to the single-phase fee-controlled smart energy meter smart metering system as claimed in claim 7, characterized in that: It comprises a front cover body (1) and a rear cover body (2) which are symmetrically and detachably connected; A data processor (3) is disposed inside the rear cover (2), and a temperature sensor (4) for detecting the temperature inside the electric meter and a temperature sensor (5) for detecting the humidity inside the electric meter are detachably mounted on the side of the data processor (3), and a working power calculation module for calculating the power of the electric meter in a working state, a non-working power calculation module for calculating the power of the electric meter in a non-working state, and a memory are built into the data processor (3).

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