Method for determining abnormity of electric power metering equipment

Abstract

The invention discloses a method for determining the abnormity of electric power metering equipment, and the method comprises the steps: obtaining the basic data of intelligent electric energy through measurement, carrying out the processing and analysis of the basic data, judging whether an intelligent electric energy meter is abnormal or not, effectively and quickly analyzing whether the intelligent electric energy meter is abnormal or not, and obtaining the abnormal parameters of the intelligent electric energy meter through calculation. According to the method, the abnormal degree of the intelligent electric energy meters is analyzed, the intelligent electric energy meters are classified, and different maintenance cycles are carried out on different types of intelligent electric energy meters, so that maintenance personnel can reasonably arrange working time, the workload of the maintenance personnel is reduced, the number configuration of the maintenance personnel is reduced, and the intelligent electric energy meters are divided into regions; according to the proportion of each category in the region, the region parameters are calculated, and the abnormal condition of the intelligent electric energy meter in each region is analyzed in combination with a plurality of region parameters, so that maintenance personnel can conveniently research and analyze the abnormal state of the intelligent electric energy meter in each region, and different maintenance schemes can be conveniently formulated for each region.

Description

Technical Field

[0001] The present invention relates to the technical field of abnormal state determination methods, and in particular to an abnormality determination method for electric power metering equipment. Background Art

[0002] The electric energy meter is composed of a measuring unit, a data processing unit, a communication unit, etc., and has the functions of electric energy metering, data processing, real-time monitoring, automatic control, information interaction, etc. The smart electric energy meter can be divided into single-phase meter and three-phase meter according to the user type, and can be divided into local meter and remote meter according to the payment method. The single-phase meter, as the name suggests, is the electric energy meter used by ordinary users to measure the 220V power station. The three-phase meter is the electric energy meter used for measuring the 380V power station used in industry. The local meter is the electric energy meter at the user side, and the IC card can be used for payment. The remote meter is generally not installed within the user range, and the user needs to go to the power supply bureau to pay.

[0003] Chinese patent number CN116774133A discloses a method, device and computer equipment for determining current anomaly of a smart electric energy meter, which relates to the field of electric energy metering technology and solves the current problem that it is impossible to directly locate the current fault of the smart electric energy meter and the fault handling efficiency is low. The method includes: determining a voltage phasor diagram based on the positive phase sequence of the voltage of the smart electric energy meter, in the voltage phasor diagram, taking the voltage of the first element as a reference, determining the current phasor of the first element and taking the voltage of the second element as a reference, calculating the b-phase secondary current of the smart electric energy meter and using the b-phase secondary current to calculate the B-phase primary current on the low-voltage side of the transformer, calculating the relative error between the B-phase primary current and the B-phase standard current, and if the absolute value of the relative error exceeds the target threshold, it is determined that the smart electric energy meter has a current anomaly.

[0004] However, the existing technology cannot make a quick judgment on the abnormal type, nor can it judge the abnormal degree and abnormal frequency of the smart power meter, thereby increasing the maintenance cost and the number of on-site maintenance visits by maintenance personnel, which is time-consuming and labor-intensive. Summary of the invention

[0005] The object of the present invention is to provide a method for determining abnormality of an electric power metering device to solve the technical problems in the above background.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A method for determining abnormality of electric power metering equipment, comprising:

[0008] Step 1: Obtain the power consumption during the power-off mark period of the smart energy meter, and calculate the power increase during the mark period;

[0009] Step 2: Obtain the current of the smart energy meter during the marked period, draw a current curve graph, and calculate the area in the current curve graph that exceeds the limited current by combining the calculus formula;

[0010] Step 3: Obtain the voltage of the smart energy meter during the marked period, draw a voltage curve, and calculate the area in the voltage curve that exceeds the limited voltage by combining the calculus formula;

[0011] Step 4: Determine whether the working state of the smart energy meter is abnormal based on the amount of increase in electricity, the area exceeding the limited current, and the area exceeding the limited voltage;

[0012] Step 5: Record the number of abnormalities and calculate the abnormal parameters of the smart energy meter based on the data obtained in the above steps;

[0013] Step 6: Analyze abnormal parameters of smart energy meters and classify smart energy meters;

[0014] Step 7: Divide the smart energy meters into regions, and calculate regional parameters based on the proportion of each category in the region;

[0015] Step 8: Combine multiple regional parameters to analyze the abnormal conditions of smart energy meters in each region.

[0016] As a further solution of the present invention: the current curve graph construction method is: based on the measurement time and the measurement current, the current curve graph is constructed in the X1-Y1 two-dimensional coordinate system, where X1 represents the measurement time and Y1 represents the measurement current.

[0017] As a further solution of the present invention: in combination with the calculus formula, the area exceeding the limited current in the current curve diagram is calculated, and the specific process is: the limited current is marked as ±b in the diagram, the time when the limited current value is exceeded is marked as t1 in the diagram, and the time when the limited current value is returned is marked as t2 in the diagram;

[0018] By calculus formula: The area bi exceeding the limited current in the current curve is calculated, wherein f(x) is the function equation of the portion exceeding the limited current in the curve.

[0019] As a further solution of the present invention: the voltage curve graph construction method is: constructing a voltage curve graph in an X2-Y2 two-dimensional coordinate system based on the measurement time and the measurement voltage, X2 represents the measurement time, and Y2 represents the measurement voltage.

[0020] As a further solution of the present invention: combining the calculus formula, the area exceeding the limit voltage in the voltage curve is calculated, and the specific process is: marking the limit voltage as ±c, marking the time when the limit voltage value is exceeded as t3, and marking the time when the limit voltage value is returned as t4;

[0021] By calculus formula: The area ci exceeding the limit voltage in the voltage curve is calculated, wherein f'(x) is the function equation of the portion exceeding the limit voltage in the curve.

[0022] As a further solution of the present invention: the specific method for determining whether the working state of the smart energy meter is abnormal is: comparing the amount of electricity increase ai with 0, comparing the area bi exceeding the limited current with the area threshold B exceeding the limited current, and comparing the area ci exceeding the limited voltage with the area threshold C exceeding the limited voltage, to determine whether the smart energy meter is abnormal;

[0023] If ai=0, bi≤B, ci≤C are satisfied at the same time, the working state of the smart energy meter is determined to be normal;

[0024] If any one of ai≠0, bi>B, ci>C is satisfied, the working state of the smart energy meter is determined to be abnormal.

[0025] As a further solution of the present invention: the number of abnormalities is: when a single detection result is abnormal, the number of abnormalities is recorded and marked as n;

[0026] n is a cumulative value. In periodic measurement, every time an abnormal number occurs, n is accumulated, and the accumulated result is n+1. The accumulated result is then re-marked as n, and n is accumulated in sequence.

[0027] As a further solution of the present invention: the specific calculation method of the abnormal parameters of the smart energy meter is: the power increase ai, the area exceeding the limited current bi, the area voltage value exceeding the limited voltage ci, the years of use di and the number of abnormal times n are processed by formula: The abnormal parameters xi of the smart energy meter are obtained, where s1, s2, s3 and s4 are preset proportional factors, and are all greater than 0, and di is the service life of the smart energy meter.

[0028] As a further solution of the present invention: the specific method of classifying the smart energy meters is: comparing the abnormal parameter xi of the smart energy meter with the abnormal parameter threshold of the smart energy meter and sorting them;

[0029] If the abnormal parameter xi of the smart electric energy meter is greater than or equal to the abnormal parameter threshold of the smart electric energy meter, the smart electric energy meter is marked as a scrapped smart electric energy meter;

[0030] If the abnormal parameter xi of the smart energy meter is less than the abnormal parameter threshold of the smart energy meter, the smart energy meters are sorted from high to low according to the abnormal parameter xi of the smart energy meter;

[0031] When the abnormal parameter xi of the smart energy meter is less than the abnormal parameter warning threshold of the smart energy meter, the smart energy meter is marked as an excellent smart energy meter;

[0032] When the abnormal parameter xi of the smart energy meter is within the interval between the abnormal parameter threshold of the smart energy meter and the abnormal parameter warning threshold of the smart energy meter, the smart energy meter is marked as a high-risk smart energy meter.

[0033] As a further solution of the present invention: the calculation method of the regional parameter is: all smart electric energy meters are divided into regions according to regions, and marked as region A, region B, region C, etc.;

[0034] Taking Area A as an example, the proportion of scrapped smart energy meters, high-risk smart energy meters and good smart energy meters in the total smart energy meters in Area A is calculated respectively;

[0035] The proportion of scrapped smart energy meters is marked as K1;

[0036] The proportion of high-risk smart energy meters is marked as K2;

[0037] The proportion of high-quality smart energy meters is marked as K3;

[0038] The scrapped smart energy meters account for K1, the high-risk smart energy meters account for K2, and the good smart energy meters account for K3 are processed by the formula: Get the A zone parameter M A , where e1, e2 and e3 are weight factors, and all are greater than 0;

[0039] Then according to the parameter M of area A A The calculation method of area B is used to calculate the parameters M B 、C zone parameter M C and other regional parameters.

[0040] Beneficial effects of the present invention:

[0041] (1) In the present invention, the basic data of smart electric energy is obtained by measurement, and the basic data is processed and analyzed to determine whether the smart electric energy meter is abnormal, and whether it is abnormal and the cause of the abnormality can be analyzed effectively and quickly;

[0042] (2) In the present invention, the abnormal parameters of the smart energy meter are calculated, the abnormal degree of the smart energy meter is analyzed, the smart energy meter is classified, and different maintenance cycles are implemented for different types of smart energy meters, so that maintenance personnel can reasonably arrange their working time, reduce their workload, and reduce the number of maintenance personnel.

[0043] (3) In the present invention, the smart electric energy meters are divided into regions, and the regional parameters are calculated according to the proportion of each category in the region. Then, the abnormal conditions of the smart electric energy meters in each region are analyzed by combining multiple regional parameters, thereby facilitating maintenance personnel to study and analyze the abnormal conditions of the smart electric energy meters in each region and to formulate different maintenance plans for each region. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] The present invention will be further described below in conjunction with the accompanying drawings.

[0045] Figure 1 is a flow chart of the method of the present invention;

[0046] Figure 2 is a current curve diagram in the present invention;

[0047] Figure 3 It is a voltage curve diagram in the present invention. DETAILED DESCRIPTION

[0048] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.

[0049] Embodiment 1

[0050] See also Figure 1 - Figure 3 As shown, the present invention is a method for determining abnormality of electric power metering equipment, the method comprising: periodically measuring and obtaining single detection data of a smart electric energy meter, processing the single detection data, and determining whether the smart electric energy meter measured this time is abnormal according to the processed data;

[0051] The regular measurement includes: monthly measurement, quarterly measurement, semi-annual measurement, etc.

[0052] Among them, the single detection data includes: the power consumption during the power-off mark period, the current of the smart energy meter, and the voltage of the smart energy meter;

[0053] The processed data include: the amount of electricity increase, the area exceeding the limited current, and the area exceeding the limited voltage;

[0054] The length of the marking session includes, but is not limited to: one minute, five minutes, ten minutes;

[0055] The specific method includes the following steps:

[0056] Step 1: Measure the power consumption during the power-off mark period of the smart energy meter, calculate the power increase during the mark period, and mark the power increase as ai. When the power increase ai≠0, the smart energy meter is in a control loop error.

[0057] Step 2: measure the current of the smart energy meter within the marked period, such as the current of the smart ammeter within one minute, and construct a current curve graph in the X1-Y1 two-dimensional coordinate system based on the measurement time and the measurement current, where X1 represents the measurement time and Y1 represents the measurement current;

[0058] Step 3: Calculate the area exceeding the limited current according to the current curve, and mark the area exceeding the limited current as bi. When the area exceeding the limited current bi> the area threshold B exceeding the limited current, the smart energy meter is overloaded or loaded;

[0059] The limited current is marked as ±b in the figure, the time when the limited current value is exceeded is marked as t1 in the figure, and the time when the limited current value is returned is marked as t2 in the figure;

[0060] By calculus formula: Calculate the area bi of the current curve that exceeds the limited current, where f(x) is the function equation of the part of the curve that exceeds the limited current;

[0061] Step 4: Measure the voltage of the smart energy meter within the marked period, such as the voltage of the smart ammeter within one minute, and construct a voltage curve graph in the X2-Y2 two-dimensional coordinate system based on the measurement time and the measurement voltage, where X2 represents the measurement time and Y2 represents the measurement voltage;

[0062] Step 5: Calculate the area exceeding the limited voltage according to the voltage curve, and mark the area exceeding the limited voltage as ci. When the area exceeding the limited voltage ci> the area threshold C exceeding the limited voltage, the smart energy meter is overvoltage or negative pressure;

[0063] The limit voltage is marked as ±c, the time when the limit voltage value is exceeded is marked as t3, and the time when the limit voltage value returns is marked as t4;

[0064] By calculus formula: Calculate and obtain the area ci of the voltage curve that exceeds the limited voltage, where f'(x) is the function equation of the portion of the curve that exceeds the limited voltage;

[0065] Step 6: Compare the amount of electricity increase ai with 0, compare the area bi exceeding the limited current with the area threshold B exceeding the limited current, and compare the area ci exceeding the limited voltage with the area threshold C exceeding the limited voltage to determine whether the smart energy meter is abnormal;

[0066] If ai=0, bi≤B, ci≤C are satisfied at the same time, the working state of the smart energy meter is determined to be normal;

[0067] If any of ai≠0, bi>B, ci>C is satisfied, the working state of the smart energy meter is determined to be abnormal;

[0068] Embodiment 2

[0069] Based on the first embodiment, the present invention is a method for determining abnormality of an electric power metering device, further comprising the following steps:

[0070] Step 1: When a single test result is abnormal, record the number of abnormalities and mark the number of abnormalities as n;

[0071] n is the accumulated value. In the periodic measurement, every time an abnormal number occurs, n is accumulated, and the accumulated result is n+1. The accumulated result is then re-marked as n, and n is accumulated successively.

[0072] Step 2: Process the amount of electricity increase ai, the area exceeding the limited current bi, the area voltage value exceeding the limited voltage ci, the years of use di and the number of abnormal times n, through the formula: Obtain the abnormal parameter xi of the smart energy meter, where s1, s2, s3 and s4 are preset proportional factors and are all greater than 0, and di is the service life of the smart energy meter;

[0073] Step 3: Compare the abnormal parameter xi of the smart energy meter with the abnormal parameter threshold of the smart energy meter and sort them;

[0074] If the abnormal parameter xi of the smart energy meter is greater than or equal to the abnormal parameter threshold of the smart energy meter, the smart energy meter is marked as a scrapped smart energy meter and needs to be replaced, and has no repair value;

[0075] If the abnormal parameter xi of the smart energy meter is less than the abnormal parameter threshold of the smart energy meter, the smart energy meters are sorted from high to low according to the abnormal parameter xi of the smart energy meter. The smart energy meter with a higher abnormal parameter is more likely to have an abnormal state with excessive deviation.

[0076] When the abnormal parameter xi of the smart energy meter is less than the abnormal parameter warning threshold of the smart energy meter, the smart energy meter is marked as a good smart energy meter, and the normal maintenance cycle of the good smart energy meter is maintained to ensure the normal maintenance of the good energy meter;

[0077] When the abnormal parameter xi of the smart energy meter is within the range of the abnormal parameter threshold of the smart energy meter and the abnormal parameter warning threshold of the smart energy meter, the smart energy meter is marked as a high-risk smart energy meter, so that the high-risk smart energy meter is listed as a key maintenance target, the maintenance cycle is shortened, the maintenance frequency is increased, and the occurrence of abnormal phenomena is further prevented;

[0078] Embodiment 3

[0079] On the basis of the first and second embodiments, the present invention is a method for determining abnormality of an electric power metering device, further comprising the following steps:

[0080] Step 1: Divide all smart energy meters into regions according to regions and mark them as Region A, Region B, Region C, etc.;

[0081] Step 2: Take area A as an example, and calculate the proportion of scrapped smart energy meters, high-risk smart energy meters and good smart energy meters in the total smart energy meters in area A;

[0082] The proportion of scrapped smart energy meters is marked as K1;

[0083] The proportion of high-risk smart energy meters is marked as K2;

[0084] The proportion of high-quality smart energy meters is marked as K3;

[0085] Step 3: Process the data of scrapped smart energy meters (K1), high-risk smart energy meters (K2), and good smart energy meters (K3), using the formula: Get the A zone parameter M A , where e1, e2 and e3 are weight factors, and all are greater than 0;

[0086] Step 4: Calculate the parameter M of area A A , and similarly calculate the parameters M of area B B 、C zone parameter M C and other regional parameters;

[0087] Step 5: Set the A zone parameters M A , parameter M in zone B B 、C zone parameter M C The higher the regional parameter, the higher the abnormal frequency or degree of abnormality of the smart energy meter in the area. This makes it easier for maintenance personnel to study and analyze the abnormal status of smart energy meters in various regions and to formulate different maintenance plans for various regions.

[0088] The working principle of the present invention is as follows: a method for determining abnormality of electric power metering equipment, regularly detecting the smart electric energy meter, obtaining the electric quantity in the marked period after the smart electric energy meter is powered off, calculating the increase in the electric quantity during the time, and marking the increase in the electric quantity as ai; obtaining the current of the smart electric energy meter in the marked period, and performing data processing on the current of the smart electric energy meter, making a current curve graph, and using the calculus formula: Calculate the area bi of the current curve that exceeds the limit current, where f(x) is the function equation of the part of the curve that exceeds the limit current; obtain the voltage of the smart energy meter during the marked period, and process the voltage of the smart energy meter to make a voltage curve, and use the calculus formula: The area ci exceeding the limited voltage in the voltage curve is calculated, wherein f'(x) is the function equation of the part exceeding the limited voltage in the curve; the amount of electric quantity increase ai is compared with 0 in turn, the area bi exceeding the limited current is compared with the area threshold value B exceeding the limited current, and the area ci exceeding the limited voltage is compared with the area threshold value C exceeding the limited voltage; if ai=0, bi≤B, ci≤C are satisfied at the same time, the working state of the smart electric energy meter is determined to be normal; if any one of ai>0, bi>B, ci>C is satisfied, the working state of the smart electric energy meter is determined to be abnormal.

[0089] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A method for determining abnormality of electric power metering equipment, characterized in that: include; Step 1: Obtain the power consumption during the power-off mark period of the smart energy meter, and calculate the power increase during the mark period; Step 2: Obtain the current of the smart energy meter during the marked period, draw a current curve graph, and calculate the area in the current curve graph that exceeds the limited current by combining the calculus formula; Step 3: Obtain the voltage of the smart energy meter during the marked period, draw a voltage curve, and calculate the area in the voltage curve that exceeds the limited voltage by combining the calculus formula; Step 4: Determine whether the working state of the smart energy meter is abnormal based on the amount of increase in electricity, the area exceeding the limited current, and the area exceeding the limited voltage; Step 5: Record the number of abnormalities and calculate the abnormal parameters of the smart energy meter based on the data obtained in the above steps; Step 6: Analyze abnormal parameters of smart energy meters and classify smart energy meters; Step 7: Divide the smart energy meters into regions, and calculate regional parameters based on the proportion of each category in the region; Step 8: Combine multiple regional parameters to analyze the abnormal conditions of smart energy meters in each region.

2. A method for determining abnormality of electric power metering equipment according to claim 1, characterized in that: The current curve graph construction method is: constructing the current curve graph in an X1-Y1 two-dimensional coordinate system based on the measurement time and the measurement current, where X1 represents the measurement time and Y1 represents the measurement current.

3. The method for determining abnormality of electric power metering equipment according to claim 1, characterized in that: Combined with the calculus formula, the area exceeding the limited current in the current curve is calculated, and the specific process is: the limited current is marked as ±b in the figure, the time when the limited current value is exceeded is marked as t1 in the figure, and the time when the limited current value returns to the limited current value is marked as t2 in the figure; By calculus formula: The area bi exceeding the limited current in the current curve is calculated, wherein f(x) is the function equation of the portion exceeding the limited current in the curve.

4. The method for determining abnormality of electric power metering equipment according to claim 1, characterized in that: The voltage curve graph construction method is: constructing a voltage curve graph in an X2-Y2 two-dimensional coordinate system based on the measurement time and the measurement voltage, where X2 represents the measurement time and Y2 represents the measurement voltage.

5. The method for determining abnormality of electric power metering equipment according to claim 1, characterized in that: Combined with the calculus formula, the area exceeding the limit voltage in the voltage curve is calculated, and the specific process is: marking the limit voltage as ±c, marking the time when the limit voltage value is exceeded as t3, and marking the time when the limit voltage value is returned as t4; By calculus formula: The area ci exceeding the limit voltage in the voltage curve is calculated, wherein f'(x) is the function equation of the portion exceeding the limit voltage in the curve.

6. The method for determining abnormality of electric power metering equipment according to claim 1, characterized in that: The specific method for determining whether the working state of the smart energy meter is abnormal is as follows: comparing the amount of electricity increase ai with 0 in sequence, comparing the area bi exceeding the limited current with the area threshold B exceeding the limited current, and comparing the area ci exceeding the limited voltage with the area threshold C exceeding the limited voltage, to determine whether the smart energy meter is abnormal; If ai=0, bi≤B, ci≤C are satisfied at the same time, the working state of the smart energy meter is determined to be normal; If any one of ai≠0, bi>B, ci>C is satisfied, the working state of the smart energy meter is determined to be abnormal.

7. The method for determining abnormality of electric power metering equipment according to claim 1, characterized in that: The number of abnormalities is: when a single test result is abnormal, the number of abnormalities is recorded and marked as n; n is a cumulative value. In periodic measurement, every time an abnormal number occurs, n is accumulated, and the accumulated result is n+1. The accumulated result is then re-marked as n, and n is accumulated in sequence.

8. The method for determining abnormality of electric power metering equipment according to claim 1, characterized in that: The specific calculation method of the abnormal parameters of the smart energy meter is: the power increase ai, the area exceeding the limited current bi, the area voltage value exceeding the limited voltage ci, the service life di and the number of abnormal times n are processed by the formula: The abnormal parameters xi of the smart energy meter are obtained, where s1, s2, s3 and s4 are preset proportional factors, and are all greater than 0, and di is the service life of the smart energy meter.

9. The method for determining abnormality of electric power metering equipment according to claim 1, characterized in that: The specific method for classifying the smart energy meters is: comparing the abnormal parameter xi of the smart energy meter with the abnormal parameter threshold of the smart energy meter and sorting them; If the abnormal parameter xi of the smart electric energy meter is greater than or equal to the abnormal parameter threshold of the smart electric energy meter, the smart electric energy meter is marked as a scrapped smart electric energy meter; If the abnormal parameter xi of the smart energy meter is less than the abnormal parameter threshold of the smart energy meter, the smart energy meters are sorted from high to low according to the abnormal parameter xi of the smart energy meter; When the abnormal parameter xi of the smart energy meter is less than the abnormal parameter warning threshold of the smart energy meter, the smart energy meter is marked as an excellent smart energy meter; When the abnormal parameter xi of the smart electric energy meter is within the interval between the abnormal parameter threshold of the smart electric energy meter and the abnormal parameter warning threshold of the smart electric energy meter, the smart electric energy meter is marked as a high-risk smart electric energy meter.

10. The method for determining abnormality of electric power metering equipment according to claim 1, characterized in that: The calculation method of the regional parameters is: all smart electric energy meters are divided into regions according to regions, and marked as region A, region B, region C, etc.; Taking Area A as an example, the proportion of scrapped smart energy meters, high-risk smart energy meters and good smart energy meters in the total smart energy meters in Area A is calculated respectively; The proportion of scrapped smart energy meters is marked as K1; The proportion of high-risk smart energy meters is marked as K2; The proportion of high-quality smart energy meters is marked as K3; The scrapped smart energy meters account for K1, the high-risk smart energy meters account for K2, and the good smart energy meters account for K3 are processed by the formula: Get the A zone parameter M A , where e1, e2 and e3 are weight factors, and all are greater than 0; Then according to the parameter M of area A A The calculation method of area B is used to calculate the parameters M B 、C zone parameter M C and other regional parameters.

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