A single-phase fee-controlled intelligent electricity meter and its intelligent metering system

Abstract

The present invention discloses a single-phase fee-controlled intelligent electric energy meter and its intelligent metering system, which relates to the technical field of electric variable measurement and aims to solve the technical problem of inaccurate metering of existing intelligent electric energy meters. It includes: a working power consumption calculation module connected to the power grid for counting the power consumption when the electric meter is working and storing it in the memory; a non-working power consumption calculation module for calculating the power consumption when the electric meter is not working; the working power consumption calculation module further includes: a first processing unit for calculating the working power consumption consumed by the electric meter according to the working duration of the electric meter; a first calculation unit for receiving the working power consumption from the first processing unit, calculating a corrected power consumption based on the working power consumption and the historical power consumption data stored in the memory, and transmitting the corrected power consumption to a correction unit; the correction unit for receiving the corrected power consumption transmitted by the first calculation unit and correcting the working power consumption. The present invention has the advantage of improving the accuracy of electric energy metering of the electric meter.

Description

Technical Field

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

[0002] At present, for the power consumption measurement of intelligent electric energy meters, there are inaccuracies in calculating the power consumed by the electric energy meters, which are specifically reflected in the following two aspects:

[0003] On the one hand, when the electric meter is working, the intelligent electric energy meter can accurately measure the electric energy. However, the power consumption of the electric energy meter itself is generally calculated by subtracting the existing power from the initial power at the time of factory. This power consumption is stored in the memory when the electric meter is not working and is subtracted in subsequent metering. However, the initial power data at the time of factory of the electric meter is not visible, or because of a long time, the power consumption of the electric meter itself has been erased, resulting in inaccurate calculation results of this method, because the power consumption of the electric meter itself may change greatly due to various situations;

[0004] On the other hand, the calculation of the power consumption of the electric energy meter itself when it is not working is even weaker. The power consumption of the electric energy meter when it is not working is mainly caused by the sleep current of the MCU and the residual data in the memory. Currently, a fixed value is directly set as the sleep current for the power consumption of the electric energy meter when it is not working. However, in fact, the sleep current of the electric energy meter will change under various working environmental temperature conditions and the influence of working duration. For example, in relatively cold regions, when the ambient temperature is below 0°C, the sleep current of the electric energy meter is significantly greater than that in the tropics. And the longer the working duration, the MCU processes the work, which will reduce its own startup voltage, resulting in a significant reduction 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 electric meter, and their existence in the memory is also the main reason for the power consumption of the electric meter.

[0005] After the power consumption of the electric meter is inaccurate, the electricity consumption data of the entire downstream load will have errors, which will further lead to inaccurate power metering. In view of this, we propose a single-phase fee-controlled intelligent electric energy meter and its intelligent metering system. Summary of the Invention

[0006] The purpose of the present invention is to provide a single-phase fee-controlled intelligent electric energy meter and its intelligent metering system to solve the technical problem of inaccurate metering of existing intelligent electric energy meters.

[0007] To solve the above technical problems, the present invention provides the following technical solution: A single-phase fee-controlled intelligent electric energy meter intelligent metering system, comprising:

[0008] The working power consumption calculation module, connected to the power grid, is used to count the power consumption of the electricity meter during operation and save it in the memory;

[0009] The non-working power consumption calculation module is used to calculate the power consumption of the electricity meter when it is not working;

[0010] The working power consumption calculation module further includes:

[0011] The first processing unit is used to calculate the working power consumption consumed by the electricity meter according to the working duration of the electricity meter;

[0012] The first calculation unit is used to receive the working power consumption from the first processing unit, calculate the corrected power consumption based on the working power consumption and the historical power data saved in the memory, and transmit the corrected power consumption to the correction unit;

[0013] The correction unit is used to receive the corrected power consumption transmitted by the first calculation unit and correct the working power consumption;

[0014] The non-working power consumption calculation module further includes:

[0015] The current measurement unit is used to detect the magnitude of the current flowing through the electricity meter;

[0016] The second processing unit, connected to the current measurement unit, is used to receive the current data transmitted by the current measurement unit and calculate the non-working power consumption of the electricity meter according to the current data.

[0017] Preferably, the specific method for the first processing unit to calculate the working power consumption consumed by the electricity meter during operation is:

[0018] The first processing unit obtains the rated power of the electricity meter during operation and the working duration , and calculates the working power consumption according to the formula ; ;

[0019] The historical power data saved in the memory includes power data corresponding to several time points in the past of the current time period. The first calculation unit further includes a statistical unit. The statistical unit is connected to the electricity meter and is used to count the power data of the working power consumption of the electricity meter for several consecutive time periods and save it in the memory. The power data of the several time periods includes the dates of the several time periods and the power within the dates.

[0020] Preferably, the calculation method of the first calculation unit for the corrected power consumption is:

[0021] Obtain the temperature value of the intelligent electricity meter and the voltage value , and according to the temperature value and the voltage value Determine the corresponding temperature coefficient and voltage coefficient ;

[0022] Obtain the daily power consumption data for each day within cycles before the current time as well as the power consumption for the corresponding date in the historical power consumption data , The sum of the daily power consumption data within cycles is , where is the sum of the daily power consumption data within cycles, and is the number of days in

[0023] Calculate the corrected power consumption ;

[0024] Introduce the influence of environmental humidity on the corrected power consumption. Let the humidity influence coefficient be , and , where , and are all fitting constants. Then the corrected power consumption formula is modified to ;

[0025] Introduce the influence of the aging factor of the electricity meter on the power consumption calculation. The aging factor is a function of the usage duration of the electricity meter, that is , where , and are fitting constants, is the natural constant. Incorporate the aging factor into the corrected power consumption formula to obtain .

[0026] Preferably, the method by which the correction unit corrects the working power consumption is as follows:

[0027] The correction unit compares the corrected power consumption transmitted by the first calculation unit with the working power consumption when the electricity meter is working. When the corrected power consumption is greater than the working power consumption , introduce a weight coefficient to comprehensively consider the influence of historical data and current data on the corrected working power consumption. Let the weight corresponding to the daily power consumption data within the current time period be , and the weight corresponding to the power consumption for the corresponding date in the historical data be , and , where is the number of days participating in the statistics. For the power consumption data of several time periods, find the power consumption on the corresponding dates in the historical data respectively. The power consumption within the current time period date is denoted as , and the power consumption on the corresponding date in the historical data is denoted as . The corrected working power consumption is calculated as follows:

[0028] .

[0029] Preferably, the second processing unit is connected with a power consumption correction unit. The power consumption correction unit is used to take the average value of the power consumption in several cycles for the non-working power consumption transmitted by the second processing unit, and use the average value as the power consumption data.

[0030] Preferably, the calculation method of the current measurement unit for the non-working power consumption is:

[0031] Introduce the harmonic component The influence on the current measurement. Let be the function of the measured current changing with time, , where is the function of the measured current changing with time, is the th harmonic amplitude, is the fundamental angular frequency, is the th harmonic phase, represents the upper limit of the harmonic order. The effective value of the current actually measured by the current measurement unit , and the second processing unit calculates the non-working power consumption according to , , where is the equivalent resistance inside the electric meter, is the non-working duration of the electric meter.

[0032] Preferably, the calculation method of the current measurement unit for the non-working power consumption also considers the influence of electromagnetic interference . Let the electromagnetic interference factor be , where is the distance from the electric meter to the interference source, and are constants. Then the formula for the corrected non-working power consumption is .

[0033] A single-phase fee-controlled intelligent electric energy meter includes a front cover body and a rear cover body that are symmetrically and detachably connected;

[0034] ​A data processor is arranged inside the rear cover body. A temperature sensor for detecting the temperature inside the electricity meter and a humidity sensor for detecting the humidity inside the electricity meter are detachably installed at the side position of the data processor. And a working power calculation module for calculating the electricity consumption when the electricity meter is working, a non-working power calculation module for calculating the electricity consumption when the electricity meter is not working, and a memory are built in the data processor.

[0035] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0036] 1. Through the working power calculation module and the non-working power calculation module, the present invention accurately counts the electricity consumption when the electricity meter is working and not working respectively. The working power calculation module calculates the working power according to the working duration and the rated power, and corrects the working power by combining the historical power data, temperature, voltage, humidity and the electricity meter aging factor. 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 considering the influence of the harmonic component and the electromagnetic interference. This makes the electricity measurement of the electricity meter more accurate, effectively avoids the billing deviation caused by the inaccurate calculation of the electricity consumption of the electricity meter itself, and solves the problem of inaccurate measurement of the existing intelligent electricity meter.

[0037] 2. The present invention also determines the corresponding coefficient by obtaining the temperature value and the voltage value, introduces the humidity influence coefficient and the aging factor, and constructs a corrected power calculation formula, so that the power calculation can adapt to different environmental conditions and the aging state of the electricity meter. Compared with the traditional measurement method, it can more accurately reflect the actual electricity consumption. Even in the case of complex and changeable environmental conditions or the long-term use and aging of the electricity meter, the accuracy of the electricity measurement can still be ensured, and the reliability of the electricity measurement in various scenarios is guaranteed.

[0038] 3. The statistical unit in the working power calculation module of the present invention can statistically calculate the power data of several consecutive time periods when the electricity meter is working, including the date, the power consumption within the date and the power consumption, and save them to the memory. These rich data are conducive to providing a solid data basis for the power company to conduct power data analysis, user power consumption behavior research and power grid optimization. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 is a schematic diagram of the system framework of the present invention;

[0040] Figure 2 is a schematic diagram of the structure of the present invention;

[0041] Figure 3 For the present invention Figure 2 is a schematic exploded view.

[0042] Explanation of the reference numerals in the drawings:

[0043] 1. Front cover; 2. Rear cover; 3. Data processor; 4. Temperature sensor; 5. Humidity sensor. Detailed implementation

[0044] To facilitate the understanding of the technical solution of the present invention by those skilled in the art, the technical solution of the present invention will be further described below in conjunction with the accompanying drawings of the specification.

[0045] Example 1. As Figure 1 shown, a single-phase fee-controlled intelligent electricity meter intelligent metering system includes:

[0046] A working power calculation module, connected to the power grid, for counting the electricity consumption when the electricity meter is working and storing it in the memory;

[0047] A non-working power calculation module, for calculating the electricity consumption when the electricity meter is not working;

[0048] The working power calculation module further includes:

[0049] A first processing unit, for calculating the working power consumed by the electricity meter according to the working duration of the electricity meter;

[0050] A first calculation unit, for receiving the working power from the first processing unit, calculating the corrected power according to the working power and the historical power data stored in the memory, and transmitting the corrected power to the correction unit;

[0051] A correction unit, for receiving the corrected power transmitted by the first calculation unit and correcting the working power;

[0052] The non-working power calculation module further includes:

[0053] A current measurement unit, for detecting the magnitude of the current flowing through the electricity meter;

[0054] A second processing unit, connected to the current measurement unit, for receiving the current data transmitted by the current measurement unit and calculating the non-working power of the electricity meter according to the current data.

[0055] In the embodiment of the invention, the specific method for the first processing unit to calculate the working power consumed by the electricity meter when it is working is as follows:

[0056] The first processing unit obtains the rated power and the working duration of the electricity meter when it is working, and calculates the working power according to the formula , where the rated power is the power when the intelligent electricity meter works normally under the rated working voltage;

[0057] The historical power data stored in the memory includes the power data corresponding to several time points in the past of the current time period. The first calculation unit further includes a statistical unit, which is connected to the electricity meter and is used to statistically calculate the power data of the electricity meter for several consecutive time periods during operation and store it in the memory. The power data for several time periods includes the dates of several time periods and the power within the dates.

[0058] In an embodiment of the invention, the calculation method of the first calculation unit for the corrected power is as follows:

[0059] Obtain the temperature value of the intelligent electricity meter and the voltage value , and determine the corresponding temperature coefficient and voltage coefficient according to the temperature value and the voltage value ;

[0060] Obtain the daily power data for each day within cycles before the current time and the power of the corresponding date in the historical power data , The sum of the daily power data for each day within cycles is , where is the sum of the daily power data for each day within cycles, is the number of days in

[0061] cycles; Calculate the corrected power

[0062] Introduce the influence of environmental humidity on the corrected power. Let the humidity influence coefficient be , and , where , and are all constants obtained by fitting experimental data. Then the corrected power formula is modified to ;

[0063] Introduce the influence of the aging factor of the electricity meter on the power calculation. The aging factor is a function of the usage duration of the electricity meter, that is , where , and are constants obtained by fitting experimental data, is the natural constant. Incorporate the aging factor into the corrected power formula to obtain 。

[0064] In an embodiment of the invention, the method for the correction unit to correct the working power consumption is as follows:

[0065] The correction unit corrects the calibrated power consumption transmitted by the first calculation unit and the working power consumption when the electricity meter is working and compares them. When the calibrated power consumption is greater than the working power consumption , a weight coefficient is introduced to comprehensively consider the influence of historical data and current data on the corrected working power consumption. Let the power consumption data for each day within the current time period correspond to a weight of , and the power consumption corresponding to the corresponding date in the historical data correspond to a weight of , and , where is the number of days participating in the statistics. For the power consumption data of several time periods, the power consumption corresponding to the corresponding date is found in the historical data respectively. The power consumption within the current time period date is denoted as , and the power consumption corresponding to the corresponding date in the historical data is denoted as . The calculation method of the corrected working power consumption is as follows:

[0066] .

[0067] Among them, the weight coefficients and can be trained according to the power consumption stability and data reliability factors of different time periods through a linear regression model, taking 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.

[0068] In an embodiment of the invention, the second processing unit is connected to a power consumption correction unit. The power consumption correction unit is used to take the average value of the power consumption within several cycles for the non-working power consumption transmitted by the second processing unit and use the average value as the power consumption data;

[0069] The calculation method of the current measurement unit for the non-working power consumption is as follows:

[0070] Introduce the influence of the harmonic component on the current measurement. Let be the function of the measured current changing with time, , where is the function of the measured current changing with time, is the amplitude of the th harmonic, is the fundamental angular frequency, is the phase of the nth harmonic, represents the upper limit of the harmonic order, and the effective value of the current actually measured by the current measurement unit , and the second processing unit calculates the non-operating power consumption according to using the formula , , where is the equivalent resistance inside the electricity meter, is the non-operating duration of the electricity meter;

[0071] The calculation method of the current measurement unit for non-operating power consumption also considers the influence of electromagnetic interference . Let the electromagnetic interference factor be , where is the distance from the electricity meter to the interference source, and are constants, then the corrected formula for non-operating power consumption is .

[0072] Example 2: As shown in Figure 2 and Figure 3 , a single-phase fee-controlled smart electricity meter includes a front cover body 1 and a rear cover body 2 that are symmetrically and detachably connected;

[0073] A data processor 3 is arranged inside the rear cover body 2. A temperature sensor 4 for detecting the temperature inside the electricity meter and a humidity sensor 5 for detecting the humidity inside the electricity meter are detachably installed at the side position of the data processor 3. And a working power consumption calculation module for calculating the power consumption in the working state of the electricity meter, a non-working power consumption calculation module for calculating the power consumption in the non-working state of the electricity meter, and a memory are built in the data processor 3.

[0074] Example 3: As shown in Figure 1 :

[0075] Initial data acquisition: Assume that the rated working voltage of the smart electricity meter is 220V and the rated power is 2000W. On a certain day, the working duration of the electricity meter is 10 hours. According to the calculation method of the first processing unit, using the formula , the preliminarily calculated working power consumption can be obtained;

[0076] Corrected power consumption calculation:

[0077] Environmental parameter acquisition: During this period, the average temperature value °C and the average voltage value V of the environment where the smart electricity meter is located are obtained, and the temperature coefficient and the voltage coefficient ;

[0078] Power data statistics: The first calculation unit obtains the daily power data for each day within the previous 1 month ( months, days) before the current time and the power of the corresponding date in the historical power data . Let the sum of the daily power data within this 1 month be , and the sum of the power of the corresponding dates in the historical power data be 600 . According to the formula , it can be obtained that ;

[0079] Corrected power calculation considering more factors: Introduce environmental humidity , and obtain the humidity influence coefficient by fitting according to the experimental data . Here , , . At the same time, the electricity meter has been used for 3 years. ， According to the aging factor formula ( , , ), calculate the aging factor , and finally calculate the corrected power ;

[0080] Working power correction: The correction unit compares the corrected power with . Since , introduce a weight coefficient for correction, and determine the power data weight for each day within the current time period according to the user's power consumption stability and data reliability , the power weight of the corresponding date in the historical data , the number of days participating in the statistics . Search for the power of the corresponding date in the historical data, and the working power after calculation and correction , then ;

[0081] Non-working power calculation:

[0082] Current measurement and calculation: During the non-working period of the electricity meter, the current measurement unit detects the current flowing through the electricity meter. Let the function of the measured current changing with time be . Calculate the effective value of the current according to the formula:

[0083] . Given the internal equivalent resistance of the electricity meter , the non-working duration , according to the formula , it can be obtained that ;

[0084] Consider electromagnetic interference correction: After detection, the distance from the electricity meter to the nearby interference source is m. According to the electromagnetic interference factor formula , the corrected non-operating power consumption .

[0085] The embodiments disclosed in the present invention are preferred embodiments, but are not limited thereto. Those of ordinary skill 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 depart from the spirit of the present invention, they are 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; A second processing unit is connected to the current measuring unit, and is used to receive the current data transmitted by the current measuring unit, and calculate the non-working power of the electric meter according to the current data; 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 power data stored in the memory includes power 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 electric meter and is used to count the power data of several consecutive time periods when the electric meter is working, and save them to the memory. The power data of several time periods include the dates of several time periods and the power within the dates; 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 ; 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, the electricity of the corresponding dates is searched in the historical data, and 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: ； 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.

2. According to claim 1, a single-phase fee-controlled smart energy meter intelligent metering system is 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.

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 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.

4. According to claim 3, a single-phase fee-controlled smart energy meter intelligent metering system is 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 .

5. A smart energy meter applied to the single-phase fee-controlled smart energy meter smart metering system as claimed in claim 4, 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 humidity sensor (5) for detecting the humidity inside the electric meter are detachably mounted on the side of the data processor (3), and a working electric quantity calculation module for calculating the electric quantity of the electric meter in a working state, a non-working electric quantity calculation module for calculating the electric quantity of the electric meter in a non-working state, and a memory are built into the data processor (3).

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