Electric energy calibration method and system based on concentrator

Abstract

The invention relates to the technical field of electric energy calibration, and discloses an electric energy calibration method and system based on a concentrator. The method comprises the following steps: acquiring electric energy data and acquisition time intervals of a plurality of electric meters corresponding to a power concentrator; judging whether the user is powered off according to the electric energy data, and if yes, performing power-off electric energy analysis to obtain a power-off theoretical electric quantity value and a power-off actual electric quantity value; if not, performing operation electric energy analysis to obtain an electric energy theoretical electric quantity value and an electric energy actual electric quantity value; when the power failure of the user is judged, calculating a power failure calibration coefficient according to the power failure theoretical electric quantity value and the power failure actual electric quantity value; when it is judged that the user is not powered off, an operation calibration coefficient is calculated according to the electric energy theoretical electric quantity value and the electric energy actual electric quantity value; and calibrating the electric energy meter according to the power failure calibration coefficient or the operation calibration coefficient so as to perform electric energy measurement according to the calibrated electric energy meter. The method can improve the accuracy of electric energy data calibration.

Description

Technical Field

[0001] The present invention relates to the technical field of electric energy meter calibration, and particularly to an electric energy calibration method and system based on a concentrator. Background Art

[0002] An electric energy concentrator is a device used in a power system to centrally collect, store, and manage data of multiple smart meters or electric energy meters. It is one of the key devices in the smart grid and is usually used to achieve functions such as remote monitoring, meter reading, data analysis, and management of electricity consumption data. The electric energy concentrator can communicate with multiple electric energy meters, collect data of these meters (such as electricity consumption, power factor, voltage, current, etc.), then centrally summarize these data, and transmit them to the master station system through a communication network (such as GPRS, Ethernet, etc.) for processing and management.

[0003] The existing calibration methods for concentrator electric energy meters mainly include collecting, monitoring, analyzing, and calibrating the data of the connected electric energy meters to ensure the accuracy and consistency of electricity consumption data. The commonly used technical method is to first read the electric energy value of the meter, simultaneously obtain the regional location information where the meter is located, then perform environmental analysis based on the environmental information and perform environmental interference coefficient correction processing on the electric energy value according to the analyzed environmental information, and obtain the corrected electric energy value, and then calculate relevant indicators based on the corrected electric energy value and the theoretical electric energy value and judge the accuracy of the corrected electric energy value according to the results of the relevant indicator calculations.

[0004] However, there are still certain deficiencies in the existing technology. Since in the actual operation of the power grid, the environment where the electric energy meter is located may be affected by various complex factors (such as temperature, humidity, electromagnetic interference, etc.), and these factors may be associated with time, space, and other conditions. A simple correction model cannot fully reflect the real environmental changes, resulting in poor correction effects of the electric energy meter. Summary of the Invention

[0005] The present invention provides an electric energy calibration method and system based on a concentrator, which can improve the accuracy of electric energy data calibration by collecting electric energy data from multiple meters, combining the judgment of power outage and operation status, and the analysis and calibration of electric energy data.

[0006] In a first aspect, to solve the above technical problems, the present invention provides an electric energy calibration method based on a concentrator, including:

[0007] Obtain the electric energy data and the acquisition time interval of the power concentrator corresponding to multiple meters;

[0008] According to the electric energy data, judge whether the user is in a power outage. If so, perform power outage electric energy analysis to obtain the theoretical power outage electric energy value and the actual power outage electric energy value; if not, perform operating electric energy analysis to obtain the theoretical electric energy value and the actual electric energy value;

[0009] When it is determined that the user has a power outage, calculate the power outage calibration coefficient according to the theoretical power outage value and the actual power outage value;

[0010] When it is determined that the user does not have a power outage, calculate the operation calibration coefficient according to the theoretical power value and the actual power value;

[0011] Calibrate the watt-hour meter according to the power outage calibration coefficient or the operation calibration coefficient, so as to measure the electric energy according to the calibrated watt-hour meter.

[0012] Preferably, the determining whether the user has a power outage according to the power data includes:

[0013] According to the power data, when the power data remains unchanged within a preset number of acquisition time intervals, it is determined that the user has a power outage, otherwise it is determined that there is no power outage.

[0014] Preferably, if so, perform power outage power analysis to obtain the theoretical power outage value and the actual power outage value, including:

[0015] Calculate the theoretical power outage value through the following formula:

[0016] E th1 =(R 1 -R 2 )×T f

[0017] In the formula, E th1 is the theoretical power outage value; R 1 is the meter reading before the power outage; R 2 is the meter reading at the time of power outage; T f is the first time factor;

[0018] Calculate the actual power outage value through the following formula:

[0019] E act1 =(R 1 -R 3 )×T o

[0020] In the formula, E act1 is the actual power outage value; R 1 is the meter reading before the power outage; R 3 is the meter reading at the end of the power outage; T o is the second time factor.

[0021] Preferably, if not, perform operation power analysis to obtain the theoretical power value and the actual power value, including:

[0022] Calculate the theoretical power consumption value through the following formula:

[0023] E th2 =(R 4 -R 5 )×C f ×T i

[0024] In the formula, E th2 is the theoretical power consumption value; R 4 is the electricity meter reading in the current collection period; R 5 is the electricity meter reading in the previous collection period; C f is the electricity meter constant factor; T i is the i-th collection time interval;

[0025] Calculate the actual power consumption value through the following formula:

[0026]

[0027] In the formula, E act2 is the actual power consumption value; C f is the electricity meter constant factor; T 1 and T 2 are two time points within the collection period; T t is the total collection time interval.

[0028] Preferably, when it is determined that the user is out of power, calculate the power outage calibration coefficient according to the power outage theoretical power consumption value and the power outage actual power consumption value, including:

[0029] Calculate the power outage calibration coefficient through the following formula:

[0030]

[0031] In the formula, E act1 is the power outage actual power consumption value; E th1 is the power outage theoretical power consumption value; K outage is the power outage calibration coefficient.

[0032] Preferably, when it is determined that the user is not out of power, calculate the operation calibration coefficient according to the power consumption theoretical power consumption value and the power consumption actual power consumption value, including:

[0033] Calculate the operation calibration coefficient through the following formula:

[0034]

[0035] In the formula, E th2 is the power consumption theoretical power consumption value; E act2 is the power consumption actual power consumption value; K run is the operation calibration coefficient.

[0036] Preferably, the calibration of the electricity meter according to the power outage calibration coefficient or the operation calibration coefficient includes:

[0037] The electricity meter is calibrated for power outage situations through the following formula:

[0038] S outage = K outage × E act1 + (1 - K outage )E th1

[0039] In the formula, S outage is the calibration value of the electricity meter in the power outage situation; K outage is the power outage calibration coefficient; E th1 is the theoretical power consumption value in the power outage.

[0040] The electricity meter is calibrated for non - power outage situations through the following formula:

[0041] S run = K run × E act2 + (1 - K run )E th2

[0042] In the formula, S run is the calibration value of the electricity meter in the non - power outage situation; K run is the operation calibration coefficient; E th2 is the theoretical power consumption value.

[0043] In a second aspect, the present invention provides a power calibration system based on a concentrator, including:

[0044] A data acquisition module, configured to acquire the power data of a plurality of electricity meters corresponding to a power concentrator and the acquisition time interval;

[0045] A power outage judgment module, configured to judge whether the user is in a power outage according to the power data. If so, perform power outage power analysis to obtain the theoretical power consumption value and the actual power consumption value in the power outage; if not, perform operation power analysis to obtain the theoretical power consumption value and the actual power consumption value;

[0046] A power outage calibration coefficient calculation module, configured to calculate the power outage calibration coefficient according to the theoretical power consumption value and the actual power consumption value in the power outage when it is determined that the user is in a power outage;

[0047] An operation calibration coefficient calculation module, configured to calculate the operation calibration coefficient according to the theoretical power consumption value and the actual power consumption value when it is determined that the user is not in a power outage;

[0048] The electric energy calibration module is used to calibrate the electric energy meter according to the power outage calibration coefficient or the operation calibration coefficient, so as to measure the electric energy according to the calibrated electric energy meter.

[0049] In a third aspect, the present invention further provides an electronic device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, the method for calibrating electric energy based on a concentrator described in any one of the above is implemented.

[0050] In a fourth aspect, the present invention further provides a computer-readable storage medium. The computer-readable storage medium includes a stored computer program. When the computer program runs, the device where the computer-readable storage medium is located is controlled to execute the method for calibrating electric energy based on a concentrator described in any one of the above.

[0051] Compared with the prior art, the present invention has the following beneficial effects: The embodiments of the present invention provide a method and system for calibrating electric energy based on a concentrator. The method includes: obtaining the electric energy data and the acquisition time interval of a plurality of electric energy meters corresponding to a power concentrator; according to the electric energy data, determining whether the user has a power outage. If so, performing power outage electric energy analysis to obtain a theoretical power outage electric energy value and an actual power outage electric energy value; if not, performing operation electric energy analysis to obtain a theoretical electric energy value and an actual electric energy value; when it is determined that the user has a power outage, calculating a power outage calibration coefficient according to the theoretical power outage electric energy value and the actual power outage electric energy value; when it is determined that the user is not in a power outage, calculating an operation calibration coefficient according to the theoretical electric energy value and the actual electric energy value; and calibrating the electric energy meter according to the power outage calibration coefficient or the operation calibration coefficient.

[0052] In the present invention, the method collects the electric energy data of a plurality of electric energy meters from the power concentrator and performs electric energy analysis and calibration processing according to the power outage and non-power outage states of the user respectively. Specifically, in the case of a power outage, by calculating the theoretical electric energy value and the actual electric energy value before and after the power outage, a power outage calibration coefficient is generated; while in the non-power outage state, by comparing the theoretical electric energy value and the actual electric energy value of the electric energy, an operation calibration coefficient is generated. Finally, the power outage calibration coefficient and the operation calibration coefficient are used to calibrate the electric energy meter, realizing accurate electric energy meter data management and calibration, solving the problem of inaccurate meter reading data in the traditional method, improving the overall efficiency and reliability of power consumption management, and improving the accuracy of electric energy meter data calibration. Description of the Drawings

[0053] Figure 1 is a flowchart of the method for calibrating electric energy based on a concentrator provided by the first embodiment of the present invention;

[0054] Figure 2It is a schematic structural diagram of an electric energy calibration system based on a concentrator provided by the second embodiment of the present invention. Detailed implementation manners

[0055] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0056] Referring to Figure 1 , the first embodiment of the present invention provides an electric energy calibration method based on a concentrator, including the following steps:

[0057] S11, obtaining the electric energy data and the acquisition time interval corresponding to a plurality of electric meters by the power concentrator.

[0058] S12, judging whether the user has a power outage according to the electric energy data. If so, performing power outage electric energy analysis to obtain a power outage theoretical power value and a power outage actual power value; if not, performing operating electric energy analysis to obtain an electric energy theoretical power value and an electric energy actual power value.

[0059] S13, when it is determined that the user has a power outage, calculating a power outage calibration coefficient according to the power outage theoretical power value and the power outage actual power value.

[0060] S14, when it is determined that the user does not have a power outage, calculating an operating calibration coefficient according to the electric energy theoretical power value and the electric energy actual power value.

[0061] S15, calibrating the electric energy meter according to the power outage calibration coefficient or the operating calibration coefficient, so as to perform electric energy measurement according to the calibrated electric energy meter.

[0062] It should be noted that the power concentrator is a device used in the power system to centrally collect, store and manage the data of multiple smart electric meters or electric energy meters. It is one of the key devices in the smart grid and is usually used to realize functions such as remote monitoring, meter reading, data analysis and management of electricity consumption data. The power concentrator can communicate with multiple electric energy meters, collect the data of these meters (such as electricity consumption, power factor, voltage, current and other information), then centrally summarize these data, and transmit them to the master station system through a communication network (such as GPRS, Ethernet, etc.) for processing and management.

[0063] For the convenience of understanding the present invention, some preferred embodiments of the present invention will be further described below.

[0064] In step S11, the electric energy data and the acquisition time interval corresponding to a plurality of electric meters are obtained by the power concentrator.

[0065] Specifically, to obtain the power consumption data and the acquisition time interval of multiple electricity meters, it is necessary to be realized through a power concentrator. The power concentrator can communicate with multiple electricity meters to obtain the power consumption data and the acquisition time interval, and centrally process and manage the data. Specifically, the concentrator can establish communication connections with multiple electricity meters to collect electricity meter data (such as power consumption, power factor, voltage, current, etc.), and set the acquisition time interval to regularly collect the electricity meter data and record the power consumption data and the corresponding time points. At the same time, the collected data is centrally stored and transmitted to the master station system through a communication network (such as GPRS, Ethernet, etc.) for further processing. According to the change of the power consumption data, the power usage status (such as power outage and non-power outage) can be judged, and corresponding analysis and calibration processing can be carried out.

[0066] Specifically, the acquisition of power consumption data includes the following key steps: Connect the device and the communication protocol. First, a system is composed of multiple smart electricity meters and a concentrator. The electricity meters are used to record and measure the power consumption data, and the concentrator is used to collect the data of multiple electricity meters. The electricity meters and the concentrator are connected through a communication network. For example, connections are established using low-voltage power line carrier communication (PLC), wireless communication (such as RF), Ethernet, RS485 bus, etc. The protocol adopts DL / T 645 or the IEC standard electricity meter communication protocol, which stipulates the data interaction format and instructions between the electricity meter and the concentrator. Then, the concentrator periodically sends data request instructions to each electricity meter (specified by the communication protocol). After receiving the instruction, each electricity meter reads the current power consumption data and returns it to the concentrator. Exemplarily, the power consumption data may include the following information: current cumulative power consumption, current and voltage data, power factor, and power consumption period information. The acquisition time interval can be set as needed. For example, it can be collected once every 15 minutes, 30 minutes, or 1 hour to ensure sufficient power consumption information is obtained. Then, after the concentrator receives the data of multiple electricity meters, it stores them in its internal memory. The data may include time stamps, various power consumption readings, and status information. The concentrator can also send the collected data to a remote master station system or cloud server through a communication network (such as GPRS, 4G, Ethernet, etc.) for further analysis and management. According to the collected data, statistical analysis of power consumption, anomaly detection, and power outage determination operations can be carried out. For example, if the power consumption data does not change within multiple acquisition time intervals, it means the user is in a power outage state.

[0067] In step S12, according to the power consumption data, it is judged whether the user is in a power outage. If so, power outage power analysis is carried out to obtain the theoretical power outage value and the actual power outage value; if not, operating power analysis is carried out to obtain the theoretical power value and the actual power value.

[0068] Preferably, determining whether the user has a power outage according to the power data includes: according to the power data, when the power data remains unchanged within a preset number of acquisition time intervals, it is determined that the user has a power outage; otherwise, it is determined that there is no power outage.

[0069] It should be noted that the acquisition time interval refers to the time interval at which the system regularly obtains data. For example, power data is acquired every 15 minutes or 30 minutes. The preset number of acquisition time intervals means that the system will monitor the change of power data within several consecutive acquisition time intervals. The specific number can be configured according to the application scenario, such as 2 times, 3 times, etc.

[0070] Specifically, first, the system will obtain the power data related to the user from the power concentrator or smart meter. The power data usually includes cumulative power (such as power consumption) or instantaneous current, voltage and other information related to the power consumption status. During several consecutive acquisition times of monitoring, the system will detect whether the power data changes. For example, whether the power data values collected continuously for multiple times are the same. The power data remaining unchanged usually means that there is no increase or decrease in the data value between multiple acquisition points, indicating that the electrical equipment does not consume power and there is no new load. When the system finds that the power data remains unchanged within a preset number of acquisition time intervals (such as the meter reading does not change), it is determined that the user is in a power outage state. If the power data changes within the preset number of acquisition times (for example, the meter reading increases, indicating that there is power consumption), it is determined that the user has no power outage.

[0071] Exemplarily, assume that the monitoring time interval set by the system is 30 minutes, and the meter reading is 100 kWh in three consecutive acquisitions (within a total of 90 minutes), indicating that the user's power data has not changed during this period. Therefore, the system will determine that the user is in a power outage state. If in three consecutive acquisitions, the meter reading changes from 100 kWh to 102 kWh, indicating that the user has power consumption during this period, the system will determine that the user is in a non-power outage state. This judgment method is used to automatically identify whether the user is in a power outage state. It avoids the complex process of manual inspection of power outages and can make accurate judgments based on the real-time changes of power data.

[0072] Preferably, if so, perform power outage power analysis to obtain the theoretical power outage value and the actual power outage value, including:

[0073] Calculate the theoretical power outage value through the following formula:

[0074] E th1 =(R 1 -R 2 )×T f

[0075] In the formula, E th1is the theoretical power consumption value during power outage; R 1 is the electricity meter reading before power outage; R 2 is the electricity meter reading at the moment of power outage; T f is the first time factor;

[0076] The actual power consumption value during power outage is calculated by the following formula:

[0077] E act1 =(R 1 -R 3 )×T o

[0078] In the formula, E act1 is the actual power consumption value during power outage; R 1 is the electricity meter reading before power outage; R 3 is the electricity meter reading at the end of power outage; T o is the second time factor.

[0079] Specifically, this step describes the specific calculation process of how to perform power outage power analysis after determining that the user has a power outage. By analyzing the theoretical power consumption value and the actual power consumption value during power outage, accurate electricity consumption data can be obtained. By calculating the theoretical power consumption value and the actual power consumption value during the power outage period, the possible electricity consumption situation of the user in the power outage state can be analyzed, so as to carry out calibration and verification.

[0080] Specifically, E th1 is the theoretical power consumption value during power outage, indicating the theoretically expected power consumption during the power outage period. R 1 is the electricity meter reading before power outage, that is, the electricity meter value of the last recorded operating state before the power outage occurs. R 2 is the electricity meter reading at the moment of power outage, that is, the electricity meter value at the moment of power outage. T f is the first time factor. This parameter is used to adjust the time scale to ensure that the theoretical power consumption calculation conforms to the actual time unit. This calculation method obtains the theoretically expected power consumption value of the user during the power outage period by calculating the difference in electricity meter readings before and after the power outage instant, and multiplies it by the time factor for necessary adjustment. Theoretically, if the electricity meter reading stops updating immediately at the moment of power outage, then R 1 should be the same as or very close to R 2 ; at the same time, theoretically, no power consumption will occur during the power outage period, so the formula for calculating the theoretical power consumption value during the power outage can be used to calculate the theoretical power consumption during the power outage period, and its calculation result should be 0 or very close.

[0081] It should be noted that, in one feasible way, the first time factor is determined by the proportional method based on the time interval. Here, the first time factor represents the time interval ratio between the electricity meter reading before the power outage and the electricity meter reading at the time of the power outage. This ratio can be used to adjust the theoretical electricity quantity estimation during the power outage. The calculation method is to divide the time interval before the power outage by the power outage duration. Here, the units of the time interval before the power outage and the power outage duration should be consistent. This factor reflects the relationship between the electricity energy change before the power outage and the power outage duration. In another feasible way, if there are obvious changes in the electricity meter readings before and at the time of the power outage (for example, the electricity meter reading stabilizes at a certain time point), then the first time factor represents the change rate of the electricity meter reading. The change rate of the electricity meter reading can be compared with the actual power outage duration to obtain a suitable factor. The calculation method is to divide the reading change rate by the power outage duration.

[0082] Specifically, E act1 is the actual electricity quantity value during the power outage, representing the electricity consumption actually measured during the power outage. R 3 is the electricity meter reading at the end of the power outage, that is, the first recorded electricity meter value when the electricity meter resumes normal operation again after the power outage ends. T o is the second time factor, similar to the time factor in the theoretical electricity quantity calculation, but including different time corrections or adjustments for the actual environment. This calculation formula calculates the actual electricity consumption situation by comparing the difference in the electricity meter readings before and after the power outage, and adjusts the actual consumption through the time factor. In an ideal situation, if there is no power supply during the power outage, then theoretically R 2 is equal to R 3 ; if there is a difference, it means that there is electricity consumption during the power outage, or the electricity meter reading is affected by other factors. Among them, the possible reasons for the change in the electricity meter reading after the power outage are: the electricity meter may still record some data briefly after the power outage; there may be unrecorded electricity consumption during the power outage, such as devices powered by batteries; the electricity meter itself may have errors, or be interfered during the power outage, resulting in inaccurate readings; after the power outage ends, the power supply may be unstable, resulting in fluctuations in the electricity meter reading.

[0083] It should be noted that, in one feasible way, the second time factor can be estimated by the time difference of the electricity meter readings. Specifically, the time difference between the electricity meter reading when the power is restored and the electricity meter reading at the end of the power outage can be calculated. Assuming that the electricity quantity value after the power is restored is affected by the power outage duration, the second time factor can be determined by the relationship between the time after the electricity meter is restored and the electricity quantity before the power outage. In another feasible way, in some cases, the electricity consumption is affected by environmental factors (such as temperature) or load changes. Exemplarily, the second time factor can refer to the influence of environmental parameters on the electricity energy change and be obtained through statistical calculation.

[0084] Preferably, if not, perform operating power analysis to obtain a theoretical power value and an actual power value, including:

[0085] Calculate the theoretical power value through the following formula:

[0086] E th2 =(R 4 -R 5 )×C f ×T i

[0087] In the formula, E th2 is the theoretical power value; R 4 is the meter reading of the current acquisition period; R 5 is the meter reading of the previous acquisition period; C f is the meter constant factor; T i is the i-th acquisition time interval;

[0088] Calculate the actual power value through the following formula:

[0089]

[0090] In the formula, E act2 is the actual power value; C f is the meter constant factor; T 1 and T 2 are two time points within the acquisition period; T t is the total acquisition time interval.

[0091] Specifically, the purpose of this step is to analyze the measurement results of the meter by calculating the theoretical and actual power values of the power under the condition that the user is not in a power outage state, so as to determine the accuracy and effectiveness of the power data. Among them, E th2 is the theoretical power value, which represents the theoretical power value calculated according to the meter readings of the current and previous acquisition periods. R 4 is the meter reading of the current acquisition period, that is, the reading recorded by the meter during this data acquisition. R 5 is the meter reading of the previous acquisition period, that is, the reading recorded by the meter during the previous data acquisition. C f is the meter constant factor, which is used to convert the pulse number or other units of the meter into the actual power value. This factor can be used to adjust and correct the power data. T i is the i-th acquisition time interval, which refers to the time length within the current acquisition period and is used to convert the change value of the power reading into the actual power consumption value. (R 4 -R 5) Represents the change in the electricity meter reading during the acquisition period. The calculation of the theoretical electricity quantity value is based on the reading difference of the electricity meter (i.e., the difference between the current period reading and the previous period reading), multiplied by the electricity meter constant factor and the time interval, to obtain the electricity consumption value per unit time. This calculated result is the theoretically expected consumption, which should be consistent with or close to the actual measured value under normal circumstances.

[0092] It should be noted that the electricity meter constant factor (denoted as C x ) is a coefficient used to convert the measurement unit of the electricity meter (such as the number of pulses, revolutions) into the standard electricity unit (such as kilowatt-hour, kWh). It reflects the relationship between the physical quantity of the internal counter of the electricity meter and the actual electricity consumption, and is an important parameter in the design and calibration of the electricity meter. The electricity meter constant factor is expressed in units such as "pulses / kWh", "revolutions / kWh" or similar, indicating the number of pulses or revolutions that the electricity meter needs to record when consuming one kilowatt-hour of electricity. It is used to convert the measurement output of the electricity meter (usually the pulses or revolutions inside the electricity meter) into the electricity consumption value, which can correspond the electricity meter output with the actual electricity quantity, so as to obtain accurate electricity consumption data. Exemplarily, in actual measurement, the electricity meter will generate a certain number of pulses or revolutions according to the electricity consumption. By reading and accumulating these pulses or revolutions, and then multiplying by the electricity meter constant factor, the actual electricity consumption of the user can be calculated. For example, if the electricity meter generates 3200 pulses and the electricity meter constant is 1600 pulses / kWh, then the electricity consumed by the user is 2 kWh.

[0093] Specifically, E act2 represents the actual electricity quantity value of the electricity, which is the electricity consumption value obtained during the actual measurement process. T 1 and T 2 are two time points within the acquisition period, referring to the data timestamps recorded by the electricity meter at these two time points, which are used to calculate the actual electricity consumption during this time period. T t is the total acquisition time interval, representing the duration of the entire acquisition period, which is used to standardize and adjust the calculation result. (T 2 -T 1 ) is the time point difference within the acquisition period, is a proportional value, representing the proportion of the time length within the acquisition period to the total time length. This proportion can be used to adjust the calculation of electricity consumption to reflect the actual electricity usage time. The calculation of the actual electricity quantity value of the electricity is based on the time difference between two specific time points within the acquisition period, combined with the electricity meter constant factor and the total time interval. This value represents the electricity consumption of the user during actual use. In this way, the specific data of actual electricity consumption can be obtained, and then compared with the theoretical value.

[0094] In step S13, when it is determined that the user has a power outage, the power outage calibration coefficient is calculated based on the theoretical power outage power value and the actual power outage power value.

[0095] Preferably, the step of calculating the power outage calibration coefficient according to the theoretical power outage power value and the actual power outage power value when it is determined that the user has a power outage includes:

[0096] The power outage calibration coefficient is calculated by the following formula:

[0097]

[0098] In the formula, E act1 is the actual power outage power value; E th1 is the theoretical power outage power value; K outage is the power outage calibration coefficient.

[0099] Specifically, the power outage calibration coefficient is used to evaluate and correct the power data during a power outage. It reflects the difference between the actual power consumption and the theoretically calculated power, thereby helping to calibrate the measurement accuracy of the electricity meter or identify abnormal situations. Among them, K outage is the power outage calibration coefficient, which is used to quantify the ratio of the actual power consumption to the theoretical consumption during a power outage. Its value indicates the deviation between the theory and the actual situation.

[0100] Specifically, in the case of a power outage, the system will first calculate the actual power outage power value and the theoretical power value based on the electricity meter readings before, during, and after the power outage. By dividing the actual power value by the theoretical power value, the power outage calibration coefficient K outage can be obtained. This coefficient is used to quantify the difference between the actual consumption and the theoretical expectation.

[0101] Exemplarily, if K outage is equal to 1, it means that the actually measured power is consistent with the theoretically calculated power, indicating that the measurement of the electrical energy data during the power outage is accurate. If K outage is greater than 1, it means that the actual power consumption is greater than the theoretical expectation, indicating that there is still some power consumption during the power outage, or that there is a certain error in the electricity meter. If K outage is less than 1, it means that the actual power consumption is less than the theoretically calculated value, which may be due to measurement errors or other abnormalities. Suppose in a certain power outage, the reading of the electricity meter before the power outage is R 1 = 100 kWh, the reading during the power outage is R 2 = 100 kWh, and the reading after the power outage is R 3 = 102 kWh. By calculation: E th1 (theoretical power outage power value) is zero, indicating that there is no theoretical power consumption. E act1(The actual power consumption value during power outage) is 2 kWh. The power outage calibration coefficient is calculated as follows: At this time, E th1 ≠ 0 (for example, it has a value when considering environmental correction factors, etc.). The abnormality or normality during the power outage can be determined through K outage In the present invention, by calculating the ratio of the actual power consumption value during the power outage to the theoretical power consumption value, the power outage calibration coefficient provides a means for correcting and verifying the power consumption data during the power outage, ensuring the accuracy and consistency of the power consumption data.

[0102] In step S14, when it is determined that the user is not experiencing a power outage, the operation calibration coefficient is calculated based on the theoretical power consumption value of the electric energy and the actual power consumption value of the electric energy.

[0103] Preferably, when it is determined that the user is not experiencing a power outage, calculating the operation calibration coefficient based on the theoretical power consumption value of the electric energy and the actual power consumption value of the electric energy includes:

[0104] The operation calibration coefficient is calculated by the following formula:

[0105]

[0106] In the formula, E th2 is the theoretical power consumption value of the electric energy; E act2 is the actual power consumption value of the electric energy; K run is the operation calibration coefficient.

[0107] Specifically, the purpose of the operation calibration coefficient K run is to quantify the measurement accuracy by comparing the theoretical consumption and the actual consumption of the electric energy when the user is not experiencing a power outage. It reflects the ratio between the actually measured power consumption and the theoretically predicted power consumption, thus providing a basis for the calibration and data correction of the electricity meter. Among them, K run is the operation calibration coefficient, representing the ratio of the actual power consumption to the theoretical power consumption, and is used to evaluate and calibrate the electric energy data in the non - power - outage state.

[0108] Exemplarily, assume that within a certain period of time, the current reading R 4 of the electricity meter = 150 kWh, the previous reading R 5 = 140 kWh, the meter constant factor C f = 1, the time interval T i = 1 hour, the theoretical power consumption is calculated as 10 kWh. If the actually recorded power consumption of the electric energy (for example, the value measured by other more accurate devices or the verified measurement) is E act2 = 9 kWh, then the calculated operation calibration coefficient is 0.9, indicating that the actual consumption is lower than the theoretical value, which shows that there is an error in the measurement of the electricity meter or the external environment has an impact on the measurement. Based on this result, the measurement mechanism of the electricity meter can be further calibrated to improve the measurement accuracy.

[0109] In step S15, the electricity meter is calibrated according to the power outage calibration coefficient or the operation calibration coefficient, so as to measure electric energy based on the calibrated electricity meter.

[0110] Preferably, the calibration of the electricity meter according to the power outage calibration coefficient or the operation calibration coefficient includes:

[0111] Calibrate the electricity meter in the power outage situation through the following formula:

[0112] S outage =K outage ×E act1 +(1 - K outage )E th1

[0113] In the formula, S outage is the calibration value of the electricity meter in the power outage situation; K outage is the power outage calibration coefficient; E th1 is the theoretical power consumption value in the power outage situation;

[0114] Calibrate the electricity meter in the non - power outage situation through the following formula:

[0115] S run =K run ×E act2 +(1 - K run )E th2

[0116] In the formula, S run is the calibration value of the electricity meter in the non - power outage situation; K run is the operation calibration coefficient; E th2 is the theoretical power consumption value of the electric energy.

[0117] Specifically, the data of the electricity meter is usually affected by various factors, such as electromagnetic interference, temperature fluctuation or insufficient accuracy of the metering equipment. The purpose of calibrating the electricity meter is to correct and adjust the electricity data measured by the meter to reflect the actual electricity consumption. By combining the calibration coefficients in the power outage and non - power outage states, it is ensured that the electricity data has high precision in various electricity - using states. During a power outage, some devices may still be working (such as UPS or backup power supply), resulting in a higher actual value recorded by the electricity meter. The theoretical value is calculated based on a model and may not take into account unexpected situations during a power outage (such as unexpected power consumption of some devices). Through the weighted formula, the advantages of the actual value and the theoretical value are combined, and the error of a single data source is reduced to ensure that the calibration result is closer to the actual situation.

[0118] Specifically, the electricity meter calibration formula introduces the weighted calculation of the actual electricity quantity value and the theoretical electricity quantity value, and comprehensively reflects the weight distribution between the theoretical prediction and the actual measurement in the form of the calibration value. Among them, S outage is the calibration value of the electricity meter in the power outage situation, which is the result of the weighted calculation of the actual value and the theoretical value. K outage is the power outage calibration coefficient. When K outage = 1, it means that the actual value is exactly equal to the theoretical value, and the calibration value is the actual value. When K outage is not equal to 1, it means that there is a difference between the theoretical value and the actual value, and the calibration formula takes the weighted values of the two. To calculate the calibration value, it is necessary to comprehensively consider the actual value and the theoretical value, avoid relying solely on one of them, and reduce the deviation in abnormal situations. Through the correction of (1 - K outage ), the environmental error or data missing in the theoretical prediction is compensated. Among them, the weight of the actual value is determined by K outage , and the weight of the theoretical value is determined by (1 - K outage ). When the actual value is more credible (for example, the device measurement is accurate), the calibration result is more inclined to the actual value. When the theoretical value is more reliable (for example, the actual value is severely interfered), the calibration result is more biased towards the theoretical value.

[0119] Specifically, S run is the calibration value of the electricity meter in the non - power - outage situation, which represents the value after adjusting the electricity quantity data in the non - power - outage situation. This value comprehensively considers the contributions of the actual electricity quantity and the theoretical electricity quantity, making the calibrated data more accurate. When calculating the calibration value, the formula dynamically adjusts the contribution ratio of the actual value and the theoretical value through the weighted method. K run determines the weight of the actual value, and (1 - K run ) determines the weight of the theoretical value. When the actual value is more credible (for example, the device measurement is normal), the calibration value is more inclined to the actual value. When the theoretical value is more credible (for example, the actual value is greatly affected by noise or interference), the calibration value is more inclined to the theoretical value.

[0120] In summary, the present invention provides a power calibration method based on a concentrator, including: obtaining the electricity energy data and the acquisition time interval corresponding to multiple electricity meters of the power concentrator; according to the electricity energy data, determining whether the user is in a power outage. If so, performing power outage electricity analysis to obtain the power outage theoretical electricity quantity value and the power outage actual electricity quantity value; if not, performing operating electricity analysis to obtain the electricity energy theoretical electricity quantity value and the electricity energy actual electricity quantity value; when it is determined that the user is in a power outage, calculating the power outage calibration coefficient according to the power outage theoretical electricity quantity value and the power outage actual electricity quantity value; when it is determined that the user is not in a power outage, calculating the operating calibration coefficient according to the electricity energy theoretical electricity quantity value and the electricity energy actual electricity quantity value; and calibrating the electricity meter according to the power outage calibration coefficient or the operating calibration coefficient.

[0121] In the present invention, the method can collect the electric energy data of multiple electric meters from a power concentrator and perform electric energy analysis and calibration processing according to the power outage and non-power outage states of users. Specifically, in the case of a power outage, by calculating the theoretical power value and the actual power value before and after the power outage, a power outage calibration coefficient is generated; while in the non-power outage state, by comparing the theoretical power value and the actual power value of the electric energy, an operation calibration coefficient is generated. Finally, the electric energy meter is calibrated using the power outage calibration coefficient and the operation calibration coefficient, realizing accurate electric energy meter data management and calibration, solving the problems of inaccurate meter reading data and untimely collection in the traditional method, improving the overall efficiency and reliability of electric energy meter management, and enhancing the accuracy of electric energy meter data calibration.

[0122] Referring to Figure 2 , the second embodiment of the present invention provides a power calibration system based on a concentrator, including:

[0123] A data acquisition module, configured to acquire the electric energy data and the acquisition time interval corresponding to multiple electric meters of the power concentrator;

[0124] A power outage judgment module, configured to judge whether the user has a power outage according to the electric energy data. If so, perform power outage electric energy analysis to obtain the power outage theoretical power value and the power outage actual power value; if not, perform operation electric energy analysis to obtain the electric energy theoretical power value and the electric energy actual power value;

[0125] A power outage calibration coefficient calculation module, configured to calculate a power outage calibration coefficient according to the power outage theoretical power value and the power outage actual power value when it is determined that the user has a power outage;

[0126] An operation calibration coefficient calculation module, configured to calculate an operation calibration coefficient according to the electric energy theoretical power value and the electric energy actual power value when it is determined that the user does not have a power outage;

[0127] An electric energy calibration module, which calibrates the electric energy meter according to the power outage calibration coefficient or the operation calibration coefficient to perform electric energy measurement according to the calibrated electric energy meter.

[0128] In an optional implementation manner, the power outage judgment module is specifically configured to:

[0129] According to the electric energy data, when the electric energy data remains unchanged within a preset number of acquisition time intervals, it is determined that the user has a power outage, otherwise it is determined that there is no power outage.

[0130] In an optional implementation manner, the power outage calibration coefficient calculation module is specifically configured to:

[0131] Calculate the power outage theoretical power value through the following formula:

[0132] E th1 =(R1 -R 2 )×T f

[0133] In the formula, E th1 is the theoretical power consumption value during power outage; R 1 is the meter reading before power outage; R 2 is the meter reading at the time of power outage; T f is the first time factor;

[0134] The actual power consumption value during power outage is calculated by the following formula:

[0135] E act1 =(R 1 -R 3 )×T o

[0136] In the formula, E act1 is the actual power consumption value during power outage; R 1 is the meter reading before power outage; R 3 is the meter reading at the end of power outage; T o is the second time factor.

[0137] In an optional implementation manner, the power outage calibration coefficient calculation module is specifically configured to:

[0138] Calculate the theoretical power consumption value of electric energy by the following formula:

[0139] E th2 =(R 4 -R 5 )×C f ×T i

[0140] In the formula, E th2 is the theoretical power consumption value of electric energy; R 4 is the meter reading of the current collection period; R 5 is the meter reading of the previous collection period; C f is the meter constant factor; T i is the i-th collection time interval;

[0141] Calculate the actual power consumption value of electric energy by the following formula:

[0142]

[0143] In the formula, E act2 is the actual power consumption value of electric energy; C f is the meter constant factor; T 1 and T 2 are two time points within the collection period; T t is the total collection time interval.

[0144] In an alternative embodiment, the power outage calibration coefficient calculation module is specifically configured to:

[0145] Calculate the power outage calibration coefficient through the following formula:

[0146]

[0147] In the formula, E act1 is the actual power consumption value during the power outage; E th1 is the theoretical power consumption value during the power outage; K outage is the power outage calibration coefficient.

[0148] In an alternative embodiment, the operation calibration coefficient calculation module is specifically configured to:

[0149] Calculate the operation calibration coefficient through the following formula:

[0150]

[0151] In the formula, E th2 is the theoretical power consumption value of the electric energy; E act2 is the actual power consumption value of the electric energy; K run is the operation calibration coefficient.

[0152] In an alternative embodiment, the electric energy calibration module is specifically configured to:

[0153] Calibrate the electric energy meter in case of a power outage through the following formula:

[0154] S outage = K outage × E act1 +(1 - K outage ) E th1

[0155] In the formula, S outage is the calibration value of the electric energy meter in case of a power outage; K outage is the power outage calibration coefficient; E th1 is the theoretical power consumption value during the power outage; E act1 is the actual power consumption value during the power outage;

[0156] Calibrate the electric energy meter in case of non - power outage through the following formula:

[0157] S run = K run × E act2 +(1 - K run ) E th2

[0158] In the formula, S run is the calibration value of the electric energy meter in case of non - power outage; K runis the running calibration coefficient; E act2 is the actual electricity quantity value of electric energy; E th2 is the theoretical electricity quantity value of electric energy.

[0159] It should be noted that a power calibration system based on a concentrator provided in an embodiment of the present invention is used to execute all the process steps of a power calibration method based on a concentrator in the above embodiment. The working principles and beneficial effects of the two correspond one by one, so they will not be elaborated here.

[0160] An embodiment of the present invention also provides an electronic device. The electronic device includes: a processor, a memory, and a computer program stored in the memory and executable on the processor, such as a power calibration method program based on a concentrator. When the processor executes the computer program, the steps in the above various embodiments of the power calibration method based on a concentrator are implemented, such as Figure 1 the step S11 shown. Alternatively, when the processor executes the computer program, the functions of each module / unit in the above device embodiments are implemented, such as the power calibration module.

[0161] Exemplarily, the computer program can be divided into one or more modules / units. The one or more modules / units are stored in the memory and executed by the processor to complete the present invention. The one or more modules / units can be a series of computer program instruction segments capable of performing specific functions, and the instruction segments are used to describe the execution process of the computer program in the electronic device.

[0162] The electronic device can be a computing device such as a desktop computer, a notebook, a palm computer, and a smart tablet. The electronic device may include, but is not limited to, a processor and a memory. Those skilled in the art can understand that the above components are only examples of the electronic device and do not constitute a limitation on the electronic device. It may include more or fewer components than the above, or combine some components, or different components. For example, the electronic device may further include input / output devices, network access devices, a bus, etc.

[0163] The so-called processor may be a Central Processing Unit (CPU), or may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The processor is the control center of the electronic device and connects various parts of the entire electronic device using various interfaces and circuits.

[0164] The memory can be used to store the computer programs and / or modules. The processor realizes various functions of the electronic device by running or executing the computer programs and / or modules stored in the memory, and by calling the data stored in the memory. The memory may mainly include a program storage area and a data storage area. Among them, the program storage area can store an operating system, application programs required for at least one function (such as a sound playback function, an image playback function, etc.); the data storage area can store data created according to the use of the mobile phone (such as audio data, phone book, etc.). In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, Smart Media Card (SMC), Secure Digital (SD) card, Flash Card, at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage devices.

[0165] Among them, if the modules / units integrated in the electronic device are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, to implement all or part of the processes in the above-described embodiment methods of the present invention, it can also be completed by a computer program instructing relevant hardware. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the above-described various method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file, or some intermediate form, etc. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disc, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium, etc. It should be noted that the content included in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electrical carrier signals and telecommunication signals.

[0166] It should be noted that the device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated. The components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. In addition, in the attached drawings of the device embodiments provided by the present invention, the connection relationship between the modules indicates that they have a communication connection, which can be specifically implemented as one or more communication buses or signal lines. Those of ordinary skill in the art can understand and implement it without creative efforts.

[0167] The specific embodiments described above have further elaborated on the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above description is only the specific embodiments of the present invention and is not used to limit the protection scope of the present invention. It is particularly pointed out that for those skilled in the art, any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A power calibration method based on a concentrator, characterized in that: include: Obtaining electric energy data and collection time intervals of multiple electric meters corresponding to the power concentrator; According to the electric energy data, determine whether the user has a power outage, and if so, perform a power outage electric energy analysis to obtain a theoretical power outage electric energy value and an actual power outage electric energy value; If not, then perform operating power analysis to obtain theoretical power value and actual power value; When it is determined that the user has a power outage, a power outage calibration coefficient is calculated according to the power outage theoretical power value and the power outage actual power value; When it is determined that the user is not experiencing a power outage, the operation calibration coefficient is calculated according to the theoretical electric energy value and the actual electric energy value; The electric energy meter is calibrated according to the power outage calibration coefficient or the operation calibration coefficient, so as to measure electric energy according to the calibrated electric energy meter.

2. The concentrator-based power calibration method according to claim 1, characterized in that: The determining, based on the electric energy data, whether a user has a power outage includes: According to the electric energy data, when the electric energy data remains unchanged within a preset number of collection time intervals, it is determined that the user has a power outage, otherwise it is determined that there is no power outage.

3. The concentrator-based power calibration method according to claim 1, characterized in that: If so, a power outage energy analysis is performed to obtain a theoretical power outage energy value and an actual power outage energy value, including: The theoretical power value of power outage is calculated by the following formula: E th1 =(R1-R2)×T f In the formula, E th1 is the theoretical power value of power outage; R1 is the meter reading before power outage; R2 is the meter reading during power outage; T f is the first time factor; The actual power value of power outage is calculated by the following formula: E act1 =(R1-R3)×T o In the formula, E act1 is the actual power value at the time of power outage; R3 is the meter reading at the end of power outage; T o is the second time factor.

4. The concentrator-based power calibration method according to claim 1, characterized in that: If not, then perform running power analysis to obtain theoretical power value and actual power value, including: The theoretical electric energy value is calculated by the following formula: E th2 =(R4-R5)×C f ×T i In the formula, E th2 is the theoretical value of electric energy; R4 is the meter reading of the current collection cycle; R5 is the meter reading of the last collection cycle; C f is the meter constant factor; T i is the i-th collection time interval; The actual power value of electric energy is calculated by the following formula: In the formula, E act2 is the actual power value of electric energy; T1 and T2 are two time points in the acquisition cycle; T t is the total collection time interval.

5. The concentrator-based power calibration method according to claim 1, characterized in that: When it is determined that the user has a power outage, a power outage calibration coefficient is calculated according to the power outage theoretical power value and the power outage actual power value, including: The power outage calibration factor is calculated using the following formula: In the formula, E act1 E is the actual power value of power outage; th1 K is the theoretical power value of power outage; outage is the power outage calibration factor.

6. The concentrator-based power calibration method according to claim 1, characterized in that: When it is determined that the user is not experiencing a power outage, the operation calibration coefficient is calculated according to the theoretical electric energy value and the actual electric energy value, including: The running calibration factor is calculated using the following formula: In the formula, E th2 E is the theoretical value of electric energy; act2 is the actual electric energy value; K run is the running calibration factor.

7. The concentrator-based power calibration method according to claim 1, characterized in that: The step of calibrating the electric energy meter according to the power outage calibration coefficient or the operation calibration coefficient to measure electric energy according to the calibrated electric energy meter includes: The energy meter calibration for power outage is performed using the following formula: S outage =K outage ×E act1 +(1-K outage )E th1 In the formula, S outage K is the calibration value of the electric energy meter in the case of power outage; outage is the power failure calibration coefficient; E th1 E is the theoretical power value of power outage; act1 The actual power value of power outage; The energy meter calibration in non-power outage conditions is performed using the following formula: S run =K run ×E act2 +(1-K run )E th2 In the formula, S run K is the calibration value of the electric energy meter in the case of non-power outage; run is the operation calibration factor; E act2 is the actual electric energy value; E th2 It is the theoretical value of electric energy.

8. A power calibration system based on a concentrator, characterized in that: include: A data acquisition module, used to acquire electric energy data and collection time intervals of multiple electric meters corresponding to the power concentrator; A power outage judgment module is used to judge whether the user has a power outage based on the power data, and if so, perform a power outage power analysis to obtain a theoretical power outage power value and an actual power outage power value; If not, then perform operating power analysis to obtain theoretical power value and actual power value; A power outage calibration coefficient calculation module, used to calculate the power outage calibration coefficient according to the power outage theoretical power value and the power outage actual power value when it is determined that the user has a power outage; An operation calibration coefficient calculation module, used for calculating the operation calibration coefficient according to the theoretical electric energy value and the actual electric energy value when it is determined that the user is not experiencing a power outage; The electric energy calibration module is used to calibrate the electric energy meter according to the power outage calibration coefficient or the operation calibration coefficient, so as to measure electric energy according to the calibrated electric energy meter.

9. An electronic device, characterized in that: The method comprises a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, the concentrator-based power calibration method according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to execute the concentrator-based power calibration method according to any one of claims 1 to 7.

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