A method and system for completing data collected by radio station area

By acquiring and processing the historical data and day information of the electricity meter, data abnormalities caused by the replacement of the electricity meter are solved, data completion and analysis results are achieved, and the reliability of data in the radio station area is improved.

CN115439102BActive Publication Date: 2025-05-23ANHUI ZENITH ELECTRICITY & ELECTRONICS
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Patent Information

Application Number
CN202211277331.0
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-10-19
Publication Date
2025-05-23
Estimated Expiration
2042-10-19

AI Technical Summary

Technical Problem

Due to the cancellation, new installation and replacement of the power meter, the data collected in the radio area is abnormal, which in turn causes the analysis algorithm model for calculating the curve and line loss of the station area.

Method used

By obtaining the historical electricity consumption data of the electricity meter and the station area information of the day, establish a data historical curve, judge whether the starting and cutoff values ​​of the electricity meter are missing, and complete them. At the same time, through the data exception processing module, the normality of the power data is judged and necessary corrections and completions are made.

Benefits of technology

It effectively overcomes the problem of failure of the analysis algorithm model caused by data acquisition abnormalities, ensures the accuracy and effectiveness of the analysis results, and reduces the error in power statistics and improves the accuracy of the data.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The present invention relates to a method and system for completing data collected from a user station area. The method for completing data collected from a user station area includes the following steps: S1. Acquire the historical power consumption data of the electric energy meter at each port of the user station area and the corresponding collection time to establish a data history curve. S2. Acquire the station area information of the user station area on the day; the station area information includes the equipment number, port information, and the starting degree value and cut-off degree value of the electric energy meter on the day. S3. Determine whether the starting degree value and cut-off degree value of the electric energy meter at the same port on the day are missing, and complete the missing data. S4. Calculate the daily power Er based on the starting degree value and cut-off degree value of the day, and then determine whether the corresponding power data of the electric energy meter is normal, and make corrections. The present invention compensates and corrects the missing or abnormal data collected from the user station area, thereby overcoming the problem of failure of analysis algorithm models such as station curves and line losses caused by data missing and abnormalities.
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Description

Technical Field

[0001] The present invention relates to the technical field of radio area data collection and completion, and in particular to a radio area data collection and completion method and system. Background Art

[0002] With the acceleration of the construction of new power systems based on new energy, it is necessary to combine the actual situation and relevant standards of energy loss management in the substation area, innovate diversified management models, use digital technology, and continuously improve the management system and technical system to comprehensively improve the energy utilization rate of the substation area. The user area data acquisition system is used to use the data of the electric energy meter in the user area, and the substation curve can be calculated based on the collected data. However, due to the cancellation, installation, and replacement of on-site electric energy meters, various problems such as missing electricity data collection and abnormal data collection when replacing meters can occur. As a result, the analysis algorithm model fails to eliminate the problems caused by data collection anomalies in the calculation of substation curves and line losses. Summary of the Invention

[0003] Based on this, it is necessary to provide a method and system for completing data collected in the radio station area to address the problem of abnormal data collected in the radio station area due to the cancellation, installation and replacement of electricity meters.

[0004] To achieve the above object, the present invention adopts the following technical solutions:

[0005] A method for completing data collected using radio station areas comprises the following steps:

[0006] S1. Obtain historical electricity consumption data of the electricity meters at each port in the user area and the corresponding collection time to establish a data history curve; the data history curve is used to represent the mapping relationship between the collection time and the corresponding electricity consumption.

[0007] S2. Obtain the information of the user's area on the day; the area information includes the device number and port information of each electric energy meter, as well as the starting value at the start time of the day and the ending value at the end time of the day.

[0008] S3. Determine the starting degree value of the electric energy meter at the start time of the day and the cut-off degree value at the end time of the day for the same port based on the port information, and then determine whether the starting degree value and cut-off degree value of the same port on the day are missing, and make the following decision:

[0009] (1) The starting degree value at the beginning of the day is missing; take the day as the base date and work backwards to obtain the ending degree value of the historical day with the shortest interval from the base date, and save it as the starting degree value of the day.

[0010] (2) The cut-off value at the end time of the day is missing; calculate the value at the end time of the day based on a preset historical data curve, and use it as the cut-off value of the day and save it.

[0011] (3) Both the starting value at the start time of the day and the cut-off value at the end time of the day are missing; determine that the corresponding electric energy meter is abnormal.

[0012] S4. Calculate the daily electricity consumption Er based on the starting value and the cut-off value of the day, and determine whether the electricity consumption data collected by the corresponding electric energy meter is normal according to the daily electricity consumption Er, and make the following decisions:

[0013] (1) Emin < Er < Emax; determine that the electricity consumption data is normal.

[0014] (2) Er < Emin or Er > Emax; query the historical data curve, and then calculate the cut-off value at the end time of the day based on the starting value of the day, recalculate the daily electricity consumption Er with the calculated cut-off value and save it.

[0015] Among them, Emax is the maximum daily electricity consumption of the corresponding electric energy meter, and Emin is the minimum daily electricity consumption of the corresponding electric energy meter.

[0016] Furthermore, after determining that the data of the corresponding electric energy meter is abnormal, conduct an abnormal investigation on the electric energy meter. The abnormal investigation method includes the following steps:

[0017] Obtain the continuous substation area information X days before the reference day of the power consumption substation area, and determine whether the corresponding electric energy meter is continuously abnormal according to the continuous substation area information, and make the following decisions:

[0018] (1) When there is continuous abnormality; determine that there is an unarchived metering abnormality for the electric energy meter; obtain the corresponding device information through the device number of the electric energy meter, and then perform corresponding metering abnormality correction on the electricity consumption data of the electric energy meter.

[0019] (2) When there is no continuous abnormality; determine that there is no unarchived metering abnormality for the electric energy meter, and calculate and correct the electricity consumption on the reference day according to the historical data curve.

[0020] Among them, X = 2 to 7 and is an integer.

[0021] In one of the embodiments, the metering abnormality correction method includes the following steps:

[0022] Take a day with normal acquisition data within X days of the electric energy meter or the last day with normal acquisition data obtained by backward deduction as the reference day, obtain the electricity consumption Ei on the reference day, and the average electricity consumption Eai of all corresponding normal electric energy meters within a preset area including the electric energy meter on the reference day.

[0023] Calculate the ratio of the electric quantity Ei to the average electric quantity Eai to obtain the average variable N.

[0024] Calculate the daily electricity consumption Er of the electric energy meter: Er = Ear × N; where Ear is the average electricity consumption of all corresponding normal electric energy meters in the preset area on that day.

[0025] In one embodiment, the method for correcting measurement anomalies includes the following steps:

[0026] A day without abnormality of the electric energy meter within X days is used as a reference day, and the electric energy Ej of the reference day and the total electric energy Evj of all corresponding normal electric energy meters in a preset area including the electric energy meter on the reference day are obtained.

[0027] Calculate the ratio of the electric quantity Ej to the total electric quantity Evj to obtain the total variable M;

[0028] Calculate the daily electricity consumption Er of the electric energy meter: Er=Evr×M; where Evr is the total electricity consumption of all corresponding normal electric energy meters in the preset area on that day.

[0029] Furthermore, the electric energy meter includes a non-photovoltaic three-phase electric energy meter, a non-photovoltaic single-phase electric energy meter, a photovoltaic three-phase electric energy meter and a photovoltaic single-phase electric energy meter.

[0030] Furthermore, the calculation method for the maximum daily electricity consumption Emax of a non-photovoltaic three-phase energy meter is as follows:

[0031] Obtain the maximum current Imax1 and rated voltage Un1 of the non-PV three-phase electric energy meter.

[0032] Calculate the maximum daily electricity consumption Emax: Emax = Imax1 × Un1 × 24 × 1.5.

[0033] Furthermore, the calculation method for the maximum daily electricity consumption Emax of a non-photovoltaic single-phase energy meter is as follows:

[0034] Obtain the maximum current Imax2 and rated voltage Un2 of a non-PV single-phase electricity meter.

[0035] Calculate the maximum daily electricity consumption Emax: Emax = Imax2×Un2×24×1.2.

[0036] Furthermore, the calculation method for the maximum daily electricity consumption Emax of the photovoltaic three-phase electricity meter is as follows:

[0037] Obtain the maximum current Imax3 and rated voltage Un3 of the PV three-phase energy meter.

[0038] Calculate the maximum daily electricity consumption Emax: Emax = Imax3 × Un3 × 12 × 1.5.

[0039] Further, the calculation method of the maximum daily power consumption Emax of the photovoltaic single-phase watt-hour meter is as follows:

[0040] Obtain the maximum current Imax4 and the rated voltage Un4 of the photovoltaic single-phase watt-hour meter.

[0041] Calculate the maximum daily power consumption Emax: Emax = Imax4 × Un4 × 12 × 1.2.

[0042] The present invention also relates to a data completion system for collecting data in a power consumption area, including a data acquisition module, a data missing processing module, and a data anomaly processing module.

[0043] The data acquisition module is used to obtain the historical power consumption data of the watt-hour meters at each port in the power consumption area and establish a data historical curve corresponding to the acquisition time; it is also used to obtain the area information of the power consumption area on the current day; the area information includes the device numbers, port information of each watt-hour meter, and the starting value at the starting moment of the current day and the ending value at the ending moment of the current day;

[0044] The data missing processing module is used to judge whether the starting value and the ending value at the same port on the current day are missing according to the starting value at the starting moment of the watt-hour meter on the current day and the ending value at the ending moment of the current day, and make the following decisions: (1) The starting value at the starting moment of the current day is missing; taking the current day as the reference day, push back to obtain the ending value of the historical day with the shortest interval time from the reference day, and use it as the starting value of the current day and save it; (2) The ending value at the ending moment of the current day is missing; calculate the value at the ending moment of the current day according to a preset data historical curve, and use it as the ending value of the current day and save it; (3) Both the starting value at the starting moment of the current day and the ending value at the ending moment of the current day are missing; determine that the corresponding watt-hour meter is abnormal.

[0045] The data anomaly processing module is used to calculate the power consumption Er on the current day according to the starting value and the ending value on the current day, judge whether the power consumption data collected by the corresponding watt-hour meter is normal according to the power consumption Er on the current day, and make the following decisions: (1) Emin < Er < Emax; determine that the power consumption data is normal; (2) Er < Emin or Er > Emax; query the data historical curve, and then calculate the ending value of the current day according to the starting value of the current day, and recalculate the power consumption Er on the current day through the calculated ending value and save it.

[0046] The technical solution provided by the present invention has the following beneficial effects:

[0047] The present invention completes missing or abnormal data collected from user stations through data analysis, thereby overcoming the problem of failure of the analysis algorithm model caused by abnormal data collection when calculating station curves and line losses, thereby ensuring the accuracy and effectiveness of the analysis algorithm model. At the same time, the present invention's completion of missing and abnormal data also facilitates the statistics of user power consumption, reduces statistical errors, and facilitates the acquisition of more accurate user power consumption data. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 A flow chart of a method for completing data collected using radio area data of the present invention;

[0049] Figure 2 Based on Figure 1 Distribution map of the radio area system;

[0050] Figure 3 Based on Figure 1 A module diagram of a system for completing data collected using radio area data. DETAILED DESCRIPTION

[0051] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0052] The present invention solves the problem that the cancellation, installation, or replacement of existing on-site electricity meters can lead to the failure of analytical algorithm models for calculating substation curves and line losses due to data collection anomalies. By correcting the data collected with anomalies, the present invention eliminates the impact of data collection anomalies, making the analytical algorithm models for calculating substation curves and line losses more valuable for reference and use.

[0053] See also Figure 1 , Figure 1 The present invention introduces a method for completing data collected using radio station areas, comprising the following steps:

[0054] Step 1. Obtain the historical electricity consumption data of the energy meters at each port in the user station area and the corresponding collection time to establish a data history curve. The data history curve is used to characterize the mapping relationship between the collection time and the corresponding electricity consumption. A user station area has multiple ports, each port is connected to the corresponding energy meter, and automatically uploads the corresponding information, including its own device number and the starting and ending values ​​of each day. The starting and ending values ​​are used to easily calculate the electricity consumption of the day. The data uploaded daily is saved, and these historical data can be used to establish a data history curve, thereby knowing the historical electricity consumption changes of the users corresponding to the energy meters at the same port. The historical electricity consumption changes can be referred to when the data on a certain day is abnormal.

[0055] Step 2. Obtain the current day's district information for the user's district. This district information includes each meter's device number, port information, and the starting and ending values ​​at the start and end of the day. A district has multiple meters, so the district information contains information uploaded by multiple meters. Step 3. Based on the port information, determine the starting and ending values ​​for the same port at the start and end of the day, then determine whether the starting and ending values ​​for the same port are missing, and make the following decisions:

[0056] (1) The starting value at the beginning of the day is missing; take the current day as the base day, obtain the ending value of the historical day with the shortest interval from the base day, and save it as the starting value of the current day. This situation may occur when the electricity meter is replaced, resulting in the inability to calculate the electricity consumption normally.

[0057] (2) The cut-off value for the day is missing; the cut-off value for the day is calculated based on a preset data history curve and saved as the cut-off value for the day. This may occur when the electricity meter is disconnected, resulting in the inability to calculate the electricity consumption normally.

[0058] (3) Both the starting degree value at the beginning of the day and the ending degree value at the end of the day are missing; the corresponding electric energy meter data is judged to be abnormal. This situation may be caused by a power outage in the user station area. The power outage information of the user station area can be obtained and matched. If it is caused by a power outage, no correction is made. This situation may also occur due to an abnormality in the power acquisition system itself, causing the acquisition to fail or not be archived, resulting in the inability to calculate the power normally. It is necessary to check the abnormality of the electric energy meter. The specific steps are: obtain the continuous station information of the user station area for X days back from the base date, and judge whether the corresponding electric energy meter is continuously abnormal based on the continuous station information, and make the following decisions; if there is a continuous abnormality; determine that the electric energy meter has an unarchived metering abnormality; and obtain the corresponding device information through the device number of the electric energy meter, and then make the corresponding metering abnormality correction for the electric energy meter's power data. If there is no continuous abnormality; determine that the electric energy meter does not have an unarchived metering abnormality, and calculate the base date's power according to the data history curve and make corrections.

[0059] Among them, the correction method for metering anomalies is: take the day with normal collection data within X days of the electricity meter or the last day with normal collection data as the reference day, obtain the electricity quantity Ei on the reference day, and the average electricity quantity Eai of all corresponding normal electricity meters in a preset area containing the electricity meter on the reference day. Calculate the ratio of the electricity quantity Ei to the average electricity quantity Eai to obtain the average variable N. Calculate the electricity quantity Er of the electricity meter on the day: Er = Ear × N. Among them, Ear is the average electricity quantity of all corresponding normal electricity meters in the preset area on the day. It should be noted that X is an integer with a minimum value of 2 and a maximum value of 7. When performing backward calculation, the backward calculation time shall not exceed 7 days.

[0060] A preset area contains multiple user stations. Since energy meters are classified as either non-PV or PV, the average energy consumption (Eai) within the preset area must be calculated using the same type of meter as the abnormal meter. The device ID identifies whether the abnormal meter is a non-PV or PV meter, and the average energy consumption (Eai) of normal meters of the same type as the abnormal meter is then calculated.

[0061] The correction method for metering anomalies can also be as follows: take a day within X days in which the meter has no anomalies as the reference day, obtain the energy consumption Ej on the reference day, and the total energy consumption Evj of all corresponding normal energy meters in a preset area containing the energy meter on the reference day. Calculate the ratio of energy consumption Ej to total energy consumption Evj to obtain the total variable M. Calculate the energy consumption Er of the energy meter on that day: Er = Evr × M; where Evr is the total energy consumption of all corresponding normal energy meters in the preset area on that day. The value range of X is any integer from 2 to 7. When calculating the total energy consumption Evj of normal energy meters in a preset area, energy meters of the same type as the abnormal energy meter must be selected.

[0062] Step 4. Calculate the daily electricity consumption Er based on the starting and ending degree values of the day. Determine whether the electricity consumption data collected by the corresponding electricity meter is normal according to the daily electricity consumption Er, and make the following decisions:

[0063] (1) Emin < Er < Emax; Determine that the electricity consumption data is normal.

[0064] (2) Er < Emin or Er > Emax; Query the historical data curve, and then推算 the ending degree value of the day based on the starting degree value of the day. Recalculate the daily electricity consumption Er using the推算 ending degree value and save it.

[0065] Emax is the maximum daily electricity consumption of the corresponding electricity meter, and Emin is the minimum daily electricity consumption of the corresponding electricity meter. Emin is preset according to the electricity consumption situation of the power consumption area. The Emax values of different types of electricity meters are different. Non-photovoltaic electricity meters include non-photovoltaic three-phase acquisition terminals and non-photovoltaic single-phase acquisition terminals. Among them, for non-photovoltaic three-phase acquisition terminals, Emax = Imax1 × Un1 × 24 × 1.5; Imax1 is the maximum current, and Un1 is the rated voltage. For non-photovoltaic single-phase acquisition terminals, the maximum daily electricity consumption Emax: Emax = Imax2 × Un2 × 24 × 1.2; Imax2 is the maximum current, and Un2 is the rated voltage.

[0066] For photovoltaic electricity meters, including photovoltaic three-phase electricity meters and photovoltaic single-phase electricity meters. Among them, for photovoltaic three-phase electricity meters, the maximum daily electricity consumption Emax: Emax = Imax3 × Un3 × 12 × 1.5; Imax3 is the maximum current, and Un3 is the rated voltage. For photovoltaic single-phase electricity meters, the maximum daily electricity consumption Emax: Emax = Imax4 × Un4 × 12 × 1.2; Imax4 is the maximum current, and Un4 is the rated voltage.

[0067] Figure 2 Shows the distribution map of the power consumption area system. The data of each electricity meter is uploaded to the distribution transformer terminal by wired or wireless means. By collecting the data of the distribution transformer terminal, the data information of each electricity meter can be obtained. Therefore, the data completion system can be placed on the distribution transformer terminal. The judgment methods and correction means for each actual application scenario are described in detail as follows:

[0068] I. Non-photovoltaic users

[0069] 1.1 For the situation where the meter is decommissioned, resulting in the starting indication value reading of the old meter of this user in the daily power consumption area data acquisition system but no ending indication value reading, making it impossible to measure the electricity consumption.

[0070] Judgment conditions:

[0071] Single-phase meter: (correctly entered end degree - normally reported start degree) * comprehensive ratio <= Un * Imax * 24 * 1.2 / 1000 * comprehensive ratio.

[0072] Three-phase meter: (correctly entered end current - normally reported start current) * comprehensive ratio <= √3 * Un * Imax * 24 * 1.5 / 1000 * comprehensive ratio. Where Imax is the maximum current of the meter, and Un is the rated voltage of the meter.

[0073] Correction method:

[0074] Daily electricity consumption = (correctly entered end temperature - normally reported start temperature) * comprehensive ratio. Comprehensive ratio = PT × CT, where PT is the voltage transformer ratio corresponding to the user area, and CT is the current transformer ratio corresponding to the user area.

[0075] The above applies to old meters that are replaced on the same day (the starting meter is reported normally on the same day and the ending meter is missing). The power consumption is calculated based on the ending meter correctly entered into the marketing system (the power consumption calculated based on the entered ending meter does not exceed the maximum current * rated voltage * 24 * 1.2 (single-phase), the maximum current * rated voltage * 24 * 1.5 (three-phase, and the recorded removal time is the same day).

[0076] 1.2 Regarding meter replacement, the data collection system of the daily radio station area has the starting reading of the old meter for the day, but no ending reading. The starting reading of the new meter starts from zero, resulting in the inability to measure electricity.

[0077] Solution: When replacing a new meter on the same day, the calculated power should be zeroed (the calculated power should not exceed the maximum current * rated voltage * 24 * 1.2 (single-phase), the maximum current * rated voltage * 24 * 1.5 (three-phase), otherwise the power will be reset to zero).

[0078] Judgment conditions:

[0079] Single-phase meter: (correctly entered value - 0) * comprehensive ratio <= maximum current * 24 * 1.2 * comprehensive ratio.

[0080] Three-phase meter: (correctly entered value - 0) * comprehensive ratio <= maximum current * 24 * 1.5 * comprehensive ratio.

[0081] Correction method: Daily electricity consumption = (the correct end temperature recorded on the old meter - the normal start temperature reported by the old meter + the correct end temperature recorded on the new meter on the same day) * comprehensive multiplier.

[0082] 1.3 For meter replacement, the starting reading of the new meter is greater than the ending reading of the old meter on the same day or the previous day and exceeds 100, which exceeds the user's theoretical maximum daily electricity consumption, resulting in the inability to calculate the correct electricity consumption after replacement.

[0083] Solution: If the new meter's starting value from the previous day is correlated with the old meter's ending value, that is, if the new meter's starting value from the previous day is greater than or equal to the old meter's ending value on the current day or the previous day and is greater than 100, then the new meter's current day's electricity value will be set to zero.

[0084] Judgment condition: (the end of the new table - the start of the old table) * comprehensive ratio ≥ 100

[0085] Correction method: first set the new meter's power level to 0, then calculate it by referring to the daily power level = (the correct end level recorded on the old meter - the normal start level reported by the old meter + the correct end level recorded on the new meter on the same day) * comprehensive multiplier.

[0086] 1.4 For newly installed meters, the initial reading of the new meter is too large and exceeds the theoretical maximum daily power base of the meter. Due to the abnormal reading, the correct power cannot be calculated after replacement.

[0087] Solution: If the bottom value (starting value) of the new meter exceeds the maximum current * rated voltage * 24 * 1.2 (single-phase), the maximum current * rated voltage * 24 * 1.5 (three-phase) should be left blank.

[0088] Judgment conditions:

[0089] Single-phase meter: (new meter's stop - 0) * comprehensive ratio > maximum current * rated voltage * 24 * 1.2 * comprehensive ratio

[0090] Three-phase meter: (new meter's value - 0) * comprehensive ratio > maximum current * rated voltage * 24 * 1.5 * comprehensive ratio

[0091] Correction method: Daily electricity consumption = (the end degree of the new meter - the starting degree of the new meter) * comprehensive multiplier.

[0092] 1.5 Due to meter replacement, the new meter has original frozen data before installation. Due to abnormal reading, the correct electricity amount cannot be calculated after replacement.

[0093] Solution: If the freezing time of the bottom of the meter is before the installation date, all the electric energy values ​​are set to 0.

[0094] Judgment condition: the date when the meter last froze data - the date when the new meter was installed < 0.

[0095] Correction method: first set the new meter's power = 0, and then calculate it by referring to the daily power = (the end degree correctly recorded by the old meter - the start degree normally reported by the old meter + the end degree correctly recorded by the new meter on the same day) * comprehensive multiplier.

[0096] 1.6 The automatic reading data of the electric energy meter is abnormal and cannot accurately represent the user's electricity usage.

[0097] Solution: By judging the conditions, use the readings displayed by the electric energy meter at 24:00 on the same day as the starting and ending points for calculating the power consumption, so as to calculate the correct power consumption.

[0098] If there is an automatic reading anomaly and the current day's 24:00 readout energy value is available, use that value to calculate the energy consumption (the energy consumption calculated based on the readout energy value does not exceed the maximum current * rated voltage * 24 * 1.2 (single-phase), or the maximum current * rated voltage * 24 * 1.5 (three-phase)). If the readout energy value was used as the end value for the previous day's calculation, use that value as the starting value for the current day's calculation. This is optional for units with high readout pressure. If automatic reading anomaly verification is not configured, the anomaly will not be recognized. If the reading anomaly is not archived, the readout energy value will be used to replace the daily frozen base code for energy recovery.

[0099] Judgment conditions: Automatic reading is abnormal and there is a 24:00 electric energy reading value on the same day.

[0100] Single-phase meter: (transmitted electric energy value - starting temperature) * comprehensive ratio <= maximum current * rated voltage * 24 * 1.2 comprehensive ratio.

[0101] Three-phase meter: (transmitted electric energy value - starting temperature) * comprehensive ratio <= maximum current * rated voltage * 24 * 1.5 comprehensive ratio.

[0102] Correction method:

[0103] Daily energy consumption = (transmitted energy value - starting temperature) * comprehensive multiplier.

[0104] 1.7 If the electricity meter has data collection anomalies for multiple days, the data collection anomaly will make it impossible to calculate the correct electricity consumption of the user in recent days.

[0105] Solution: Determine the time when the abnormal data occurred by judging the conditions, work backwards, use the last day of normal data collection, and calculate the power consumption during the abnormal collection period according to the correction formula as the stop number, so as to calculate the correct power consumption.

[0106] If there are metering anomalies on the day where data collection failed or was not archived (e.g., meter runaway, meter reversed, automatic reading anomaly), and the above uncorrected data is corrected using the most recent normal power consumption within X days, then the correction will be made. If there are sudden abnormally large values ​​due to continuous data collection failures, the correction will be made back X days.

[0107] Judgment condition: There are unarchived measurement anomalies.

[0108] Note: When using the normal electricity consumption of the most recent day within x days for calculation, the change in electricity consumption between that day and the calculation day will be taken into account. That is, the ratio of the average electricity consumption of other normal users in the entire county where the user is located on these two days will be used as the change. When correcting the electricity consumption, the average electricity consumption of other normal users in the entire county on that day will be multiplied by this change.

[0109] Correction method:

[0110] Change = user's normal power consumption in the most recent day / the user's normal power consumption in the most recent day corresponds to the average power consumption of all users in the county where the user is located.

[0111] Daily electricity consumption = average electricity consumption of other normal users in the entire county on the correction day * change.

[0112] 1.8 Regarding the error in the daily frozen electricity consumption of the meter, if the result of dividing the daily frozen electricity consumption by the comprehensive multiplier is greater than 10,000, there is an abnormality in the collected data. Due to the abnormal collected data, it is impossible to calculate the correct electricity consumption of the user in recent days.

[0113] Solution: By judging the conditions, directly correct the power consumption to zero, work backwards, use the last day of normal collection data and calculate the power consumption during the abnormal collection period according to the correction formula as the stop number, so as to calculate the correct power consumption.

[0114] If the daily electricity consumption is divided by the comprehensive multiplier and is greater than 10,000, it will be directly corrected to zero.

[0115] Judgment condition: daily electricity consumption / comprehensive ratio < 10000.

[0116] Correction method: Use the normal power consumption of the most recent day within X days for correction.

[0117] No correction will be made for users whose operating capacity is zero, whose collection system has experienced a power outage and has not been restored, or whose accounts are closed in transit (after the installation information is entered).

[0118] 2. Photovoltaic users

[0119] 2.1 When a meter is cancelled, the data collection system of the radio area will have the starting reading of the old meter of the user on that day, but no ending reading, which makes it impossible to measure electricity.

[0120] Solution: For old meters replaced on the same day (with normal start-up reporting and missing end-points on the same day), calculate the power consumption based on the correctly entered end-points (the power consumption calculated based on the entered end-points does not exceed the maximum current * rated voltage * 12 * 1.2 (single-phase), maximum current * rated voltage * 12 * 1.5 (three-phase)), and the recorded replacement time is the same day).

[0121] Judgment conditions:

[0122] Single-phase meter: (correctly entered end degree - normally reported start degree) * comprehensive ratio <= Un * Imax * 12 * 1.2 * comprehensive ratio.

[0123] Three-phase meter: (correctly entered end degree - normally reported start degree) * comprehensive ratio <= Un * Imax * 12 * 1.5 * comprehensive ratio.

[0124] Correction method: Daily power consumption = (correctly entered end degree - normally reported start degree) * comprehensive multiplier.

[0125] 2.2 Regarding the replacement of the meter, the data collection system of the daily radio station area has the starting reading of the old meter for the day, but no ending reading. The starting reading of the new meter starts from zero, resulting in the inability to measure electricity.

[0126] Solution: When replacing a new meter on the same day, the calculated power should be zeroed (the calculated power should not exceed the maximum current * rated voltage * 12 * 1.2 (single-phase), the maximum current * rated voltage * 12 * 1.5 (three-phase), otherwise the power will be reset to zero).

[0127] Judgment condition: The starting degree of the new meter when the meter is replaced on the same day is 0.

[0128] Single-phase meter: (correctly entered value - 0) * comprehensive ratio <= maximum current * 12 * 1.2 * comprehensive ratio.

[0129] Three-phase meter: (correctly entered value - 0) * comprehensive ratio <= maximum current * 12 * 1.5 * comprehensive ratio.

[0130] Correction method: Daily power consumption = (correctly entered limit (the limit for system freezing on that day) - 0 + the limit correctly entered on that day in the old meter) * comprehensive multiplier.

[0131] 2.3 For meter replacement, the starting reading of the new meter is greater than the ending reading of the old meter on the same day or the previous day and exceeds 100, which exceeds the user's theoretical maximum daily electricity consumption, resulting in the inability to calculate the correct electricity consumption after replacement.

[0132] Solution: If the meter code of the new meter on the day or the previous day is related to the old meter, that is, it is greater than or equal to the old meter's meter code on the day or the previous day and greater than 100, the power level of the new meter on that day will be set to zero.

[0133] Judgment condition: (the end of the new meter - the start of the old meter) * comprehensive ratio <100.

[0134] Correction method: When the new meter's electricity consumption is 0, the reference day's electricity consumption = (correctly entered degree (the cut-off degree for system freezing on that day) - 0 + the correctly entered degree of the old meter on that day) * comprehensive multiplier.

[0135] 2.4 When replacing a meter, the starting reading of the new meter is greater than the ending reading of the old meter on the same day or the previous day, resulting in the inability to calculate the correct electricity consumption after the replacement.

[0136] Solution: If the bottom value of a new meter exceeds the maximum current * rated voltage * 12 * 1.2 (single-phase) or the maximum current * rated voltage * 12 * 1.5 (three-phase) on the same day, the meter should be corrected according to the collection failure rules.

[0137] Judgment condition: The new table has the above-mentioned inherited old table stop degree on the previous day and is set to empty.

[0138] Correction method: Use 96-point data collection for correction or use the proportion of normal electricity consumption in the total photovoltaic electricity consumption within 7 days for correction.

[0139] 2.5 For meter replacement, the starting reading of the new meter is too large and exceeds the theoretical maximum power base of the meter in 24 days. Due to abnormal reading, the correct power cannot be calculated after replacement.

[0140] Solution: If the starting degree of the new meter on the previous day is related to the ending degree of the old meter, the starting degree on the current day should be set to zero, and the power consumption should be calculated according to the ending degree (the power consumption calculated according to the ending degree should not exceed the maximum current * rated voltage * 12 * 1.2 (single-phase), maximum current * rated voltage * 12 * 1.5 (three-phase)).

[0141] Judgment condition: The new table must have the same associated old table as the previous day and the new table must be empty.

[0142] Single-phase meter: (new meter's end value - new meter's start value) * comprehensive ratio > maximum current * rated voltage * 12 * 1.2 * comprehensive ratio Three-phase meter: (new meter's end value - new meter's start value) * comprehensive ratio > maximum current * rated voltage * 12 * 1.5 * comprehensive ratio

[0143] Correction method: After the new meter's power is equal to 0, the reference day's power = (correctly entered cutoff (the system freeze cutoff for that day) - 0 + the old meter's correctly entered cutoff for that day) * combined multiplier. 2.6 For meter replacements, if the new meter already has original frozen data before installation, and the new meter's reading is abnormal, the correct power calculation cannot be made after the replacement.

[0144] Solution: Clear the abnormal new meter data and use the old meter's readings to calculate the correct power consumption. Clear all energy values ​​indicated by the meter bottom freeze time before the installation date.

[0145] Judgment conditions:

[0146] Single-phase meter: (new meter's end value - new meter's start value) * comprehensive ratio > maximum current * rated voltage * 12 * 1.2 * comprehensive ratio.

[0147] Three-phase meter: (new meter's end value - new meter's start value) * comprehensive ratio > maximum current * rated voltage * 12 * 1.2 * comprehensive ratio.

[0148] Correction method: After the new meter's power consumption is 0, the reference daily power consumption is calculated as follows: (correctly entered limit (the limit for system freeze on that day) - 0 + the correct limit entered on the old meter on that day) * comprehensive multiplier. 2.7 If the automatic reading data of the energy meter is abnormal, it may not accurately represent the user's power usage.

[0149] Solution: By judging the conditions, use the readings displayed by the electric energy meter at 24:00 on the same day as the starting and ending points for calculating the power consumption, so as to calculate the correct power consumption.

[0150] If there is an automatic reading anomaly and the current day's 24:00 readout electric energy value is available, use that value to calculate the electricity quantity (the electricity quantity calculated based on the readout electric energy value does not exceed the maximum current * rated voltage * 12 * 1.2 (single-phase), maximum current * rated voltage * 12 * 1.5 (three-phase). If the readout electric energy value was used as the end value for yesterday's calculation, use that value as the starting value for today's calculation). This is optional for units with larger readout capacity. If automatic reading anomaly is not configured, the anomaly cannot be identified. If the reading anomaly is not archived, the readout electric energy value is used to replace the daily frozen base code for electricity quantity repair.

[0151] Judgment conditions: Automatic reading is abnormal and there is a 24:00 electric energy reading value on the same day.

[0152] Single-phase meter: (transmitted electric energy value - starting temperature) * comprehensive ratio <= maximum current * rated voltage * 12 * 1.2 comprehensive ratio.

[0153] Three-phase meter: (transmitted electric energy value - starting temperature) * comprehensive ratio <= maximum current * rated voltage * 12 * 1.5 comprehensive ratio.

[0154] Correction method: Daily electricity consumption = (transmitted electricity energy value - starting temperature) * comprehensive multiplier.

[0155] 2.8 If the electricity meter has data collection anomalies for multiple days, the user's recent electricity consumption cannot be calculated due to data collection anomalies.

[0156] Solution: Determine the time when the abnormal data occurred by judging the conditions, work backwards, use the last day of normal data collection, and calculate the power consumption during the abnormal collection period according to the correction formula as the stop number, so as to calculate the correct power consumption.

[0157] If there is a data collection failure or metering anomaly on the day (the electricity meter flies away, the electricity meter runs backward, or the automatic reading is abnormal), and the above-mentioned uncorrected values ​​are used first to use the 96-point electricity indication curve closest to the 24-point value to supplement the electricity quantity. If the curve collection fails, the normal electricity quantity on the most recent day within 7 days is used for correction calculation. The proportion of the total online electricity quantity of all photovoltaic users in the entire station where the meter is located on the normal day is multiplied by the total photovoltaic electricity quantity of the station on that day to repair the photovoltaic electricity quantity on the abnormal day.

[0158] Judgment conditions: Collection failed or there is abnormal measurement completion.

[0159] Correction method:

[0160] (1): Daily energy consumption = (96-point energy indication curve close to the 24-point indication value - starting degree) * comprehensive multiplier

[0161] (2) Daily electricity consumption = (the amount of electricity collected by the photovoltaic user without abnormalities in the past 7 days / the total amount of electricity collected by the photovoltaic users at the station where the user is located on the day with no abnormalities) * the total amount of electricity collected by the photovoltaic user at the station where the photovoltaic user is located on the day with abnormalities

[0162] (3): Daily electricity = (the amount of electricity generated that can be normally collected by the station where the photovoltaic user is located)

[0163] Daily electricity consumption = photovoltaic user capacity.

[0164] If the acquisition of the 96-point electric energy indication curve of photovoltaic users in the first correction algorithm fails, the second correction method is used. If the second correction fails, the third algorithm is used for repair.

[0165] Among them, the user will report the photovoltaic power generation capacity information when applying for installation, and the capacity is determined by the photovoltaic panels.

[0166] 2.9 Regarding the error in the daily frozen electricity consumption of the meter, if the result of dividing the daily frozen electricity consumption by the comprehensive multiplier is greater than 10,000, there is an abnormality in the collected data. Due to the abnormal collected data, it is impossible to calculate the correct electricity consumption of the user in recent days.

[0167] Solution: By judging the conditions, directly correct the power consumption to zero, work backwards, use the last day of normal collection data and calculate the power consumption during the abnormal collection period according to the correction formula as the stop number, so as to calculate the correct power consumption.

[0168] If the daily electricity consumption is divided by the comprehensive multiplier and is greater than 10,000, it will be directly corrected to zero.

[0169] Judgment method: daily electricity consumption / comprehensive ratio < 10000.

[0170] Correction method: Use the normal power consumption of the most recent day within X days for correction.

[0171] No correction will be made for photovoltaic users whose operating capacity is zero, whose collection system has experienced a power outage and has not been restored, who are in transit (after the installation information is entered), and who have experienced continuous collection failures for more than 7 days in the month or cumulative collection failures for more than 10 days in the month.

[0172] See also Figure 3 , Figure 3The schematic diagram of the modules of the data complementing system for the power consumption area is shown. The present invention also introduces a data complementing system for the power consumption area, including a data acquisition module, a data missing processing module, and a data anomaly processing module.

[0173] The data acquisition module is used to obtain the historical power consumption data of the electric energy meters at each port in the power consumption area and establish a data historical curve corresponding to the acquisition time; it is also used to obtain the area information of the power consumption area on the current day; the area information includes the device numbers, port information of each electric energy meter, as well as the starting value at the starting moment of the current day and the ending value at the ending moment of the current day. For the data acquisition of the power consumption area, a concentrator can be used. The electric energy meter is equipped with a wireless communication transparent transmission module, which can complete the data acquisition of the electric energy meter, form an autonomous network according to the module, and transmit the data to the concentrator through a protocol. The concentrator transmits the data information to the corresponding host according to GPRS, and the data information can be transmitted according to the RS485 protocol and the Modbus protocol.

[0174] The data missing processing module is used to judge whether the starting value and the ending value at the same port on the current day are missing according to the starting value at the starting moment of the current day and the ending value at the ending moment of the current day of the electric energy meter, and make the following decisions: (1) The starting value at the starting moment of the current day is missing; taking the current day as the reference day, push back to obtain the ending value of the historical day with the shortest interval time from the reference day, and use it as the starting value of the current day and save it; (2) The ending value at the ending moment of the current day is missing; calculate the value at the ending moment of the current day according to a preset data historical curve, and use it as the ending value of the current day and save it; (3) Both the starting value at the starting moment of the current day and the ending value at the ending moment of the current day are missing; determine that the corresponding electric energy meter is abnormal.

[0175] The data anomaly processing module is used to calculate the electricity quantity Er on the current day according to the starting value and the ending value on the current day, judge whether the electricity quantity data collected by the corresponding electric energy meter is normal according to the electricity quantity Er on the current day, and make the following decisions: (1) Emin < Er < Emax; determine that the electricity quantity data is normal; (2) Er < Emin or Er > Emax; query the data historical curve, and then calculate the ending value on the current day according to the starting value on the current day, recalculate the electricity quantity Er on the current day through the calculated ending value and save it.

[0176] The technical features of the above embodiments can be combined arbitrarily. For the sake of concise description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope described in this specification.

[0177] The above embodiments merely illustrate several implementations of the present invention, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the patent. It should be noted that a person skilled in the art would be able to make various modifications and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present invention. Therefore, the scope of protection of the patent for this invention shall be determined by the appended claims.

Claims

1. A method for complementing data collected in a power consumption area, which is used to correct the power consumption data of electric energy meters collected in the power consumption area. Characterized in that, It includes the following steps: S1. Obtain the historical power consumption data of the electric energy meters at each port in the power consumption area and the corresponding collection time to establish a data historical curve; the data historical curve is used to represent the mapping relationship between the collection time and the corresponding power consumption. S2. Obtain the area information of the power consumption area on the current day; the area information includes the device numbers, port information of each electric energy meter, and the starting value at the starting moment and the ending value at the ending moment on the current day. S3. Determine the starting value at the starting moment and the ending value at the ending moment of the electric energy meters at the same port on the current day according to the port information, and then judge whether the starting value and the ending value of the electric energy meters at the same port on the current day are missing, and make the following decisions: (1) The starting value at the starting moment on the current day is missing; taking the current day as the reference day and pushing back, obtain the ending value of the historical day with the shortest interval time from the reference day as the starting value on the current day and save it. (2) The ending value at the ending moment on the current day is missing; calculate the value at the ending moment on the current day according to a preset data historical curve as the ending value on the current day and save it. (3) Both the starting value at the starting moment on the current day and the ending value at the ending moment on the current day are missing; determine that the corresponding electric energy meter is abnormal. S4. Calculate the power consumption Er on the current day according to the starting value and the ending value on the current day, and judge whether the power consumption data collected by the corresponding electric energy meter is normal according to the power consumption Er on the current day, and make the following decisions: (1) Emin < Er < Emax; determine that the power consumption data is normal. (2) Er < Emin or Er > Emax; query the data historical curve, and then calculate the ending value on the current day according to the starting value on the current day, and recalculate and save the power consumption Er on the current day through the calculated ending value. Wherein, Emax is the maximum daily power consumption of the corresponding electric energy meter, and Emin is the minimum daily power consumption of the corresponding electric energy meter. After determining that the data of the corresponding electric energy meter is abnormal, conduct an abnormal investigation on the electric energy meter. The abnormal investigation method includes the following steps: Obtain the reference day of the power consumption area and the continuous area information pushed back X days, and judge whether the corresponding electric energy meter is continuously abnormal according to the continuous area information, and make the following decisions: When there is continuous abnormality; determine that there is an unarchived metering abnormality for the electric energy meter; and obtain the corresponding device information through the device number of the electric energy meter, and then perform corresponding metering abnormality correction on the power consumption data of the electric energy meter. When there is no continuous abnormality; determine that there is no unarchived metering abnormality for the electric energy meter, and calculate and correct the power consumption on the reference day according to the data historical curve. Wherein, X = 2 to 7 and is an integer.

2. A method for complementing data collected in a power consumption area according to claim 1, Characterized in that, The metering abnormality correction method includes the following steps: Take one day with normal data collection within X days of the electric energy meter or the last day with normal data collection as the reference day, obtain the electric quantity Ei of the reference day, and the average electric quantity Eai of all corresponding normal electric energy meters in a preset area containing the electric energy meter on the reference day; Calculate the ratio of the electric quantity Ei to the average electric quantity Eai to obtain an average variable N; Calculate the daily electricity consumption Er of the electric energy meter: Er=Ear×N; where Ear is the average electricity consumption of all corresponding normal electric energy meters in the preset area on that day.

3. A method for completing data collected by radio area according to claim 1, It is characterized in that The measurement anomaly correction method includes the following steps: Take a day without abnormality of the electric energy meter within X days as a reference day, obtain the electric energy Ej of the reference day and the total electric energy Evj of all corresponding normal electric energy meters in a preset area containing the electric energy meter on the reference day; Calculate the ratio of the electric quantity Ej to the total electric quantity Evj to obtain a total variable M; Calculate the daily electricity consumption Er of the electric energy meter: Er=Evr×M; where Evr is the total electricity consumption of all corresponding normal electric energy meters in the preset area on that day.

4. A method for completing data collected by radio area according to claim 1, It is characterized in that The electric energy meter includes a non-photovoltaic three-phase electric energy meter, a non-photovoltaic single-phase electric energy meter, a photovoltaic three-phase electric energy meter and a photovoltaic single-phase electric energy meter.

5. A method for completing data collected by radio area according to claim 4, It is characterized in that The calculation method of the maximum daily electricity consumption Emax of the non-photovoltaic three-phase electric energy meter is as follows: Obtain the maximum current Imax1 and rated voltage Un1 of the non-photovoltaic three-phase energy meter; Calculate the maximum daily electricity consumption Emax of the non-photovoltaic three-phase electricity meter: Emax=Imax1×Un1×24×1.

5.

6. A method for completing data collected by radio area according to claim 4, It is characterized in that The calculation method of the maximum daily electricity consumption Emax of the non-photovoltaic single-phase electric energy meter is as follows: Obtain the maximum current Imax2 and rated voltage Un2 of the non-photovoltaic single-phase energy meter; Calculate the maximum daily electricity consumption Emax of the non-photovoltaic single-phase electricity meter: Emax=Imax2×Un2×24×1.

2.

7. A method for completing data collected by radio area according to claim 4, It is characterized in that The calculation method of the maximum daily electricity consumption Emax of the photovoltaic three-phase electric energy meter is as follows: Obtain the maximum current Imax3 and rated voltage Un3 of the photovoltaic three-phase energy meter; Calculate the maximum daily electricity consumption Emax of the photovoltaic three-phase electric energy meter: Emax=Imax3×Un3×12×1.

5.

8. A method for completing data collected by radio area according to claim 4, It is characterized in that The calculation method of the maximum daily electricity consumption Emax of the photovoltaic single-phase electric energy meter is as follows: Get the maximum current Imax4 and rated voltage Un4 of the photovoltaic single-phase electric energy meter; Calculate the maximum daily electricity consumption Emax of the photovoltaic single-phase electricity meter: Emax=Imax4×Un4×12×1.

2.

9. A data completion system for a power consumption area, which is used to correct the power consumption data of the electricity meters collected in the power consumption area by using the data completion method for power consumption area collection as described in any one of claims 1 to 8. Characterized in that: It includes: A data acquisition module, which is used to obtain the historical power consumption data of the electricity meters at each port of the power consumption area and the corresponding acquisition time to establish a data historical curve; it is also used to obtain the area information of the power consumption area on the current day; the area information includes the device numbers, port information of each electricity meter, and the starting value at the starting moment of the current day and the ending value at the ending moment of the current day; A data missing processing module, which is used for the starting value at the starting moment of the current day and the ending value at the ending moment of the current day of the electricity meter, and then judges whether the starting value and the ending value at the same port on the current day are missing, and makes the following decisions: (1) The starting value at the starting moment of the current day is missing; taking the current day as the reference day and pushing back, obtain the ending value of the historical day with the shortest time interval from the reference day as the starting value of the current day and save it; (2) The ending value at the ending moment of the current day is missing; calculate the value at the ending moment of the current day according to a preset data historical curve as the ending value of the current day and save it; (3) Both the starting value at the starting moment of the current day and the ending value at the ending moment of the current day are missing; determine that the corresponding electricity meter is abnormal; A data abnormality processing module, which is used to calculate the daily electricity consumption Er according to the starting value and the ending value on the current day, judge whether the electricity consumption data collected by the corresponding electricity meter is normal according to the daily electricity consumption Er, and make the following decisions: (1) Emin < Er < Emax; determine that the electricity consumption data is normal; (2) Er < Emin or Er > Emax; query the data historical curve, and then calculate the ending value of the current day according to the starting value on the current day, and recalculate and save the daily electricity consumption Er through the calculated ending value.

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