CN110888101A

CN110888101A - Electric energy meter abnormity diagnosis method and device

Info

Publication number: CN110888101A
Application number: CN201911237125.5A
Authority: CN
Inventors: 叶先亮; 王振华; 陈旭晖; 姜闿笈; 王泽军; 高红伟
Original assignee: Xinao Shuneng Technology Co Ltd
Current assignee: Xinao Shuneng Technology Co Ltd
Priority date: 2019-12-05
Filing date: 2019-12-05
Publication date: 2020-03-17
Anticipated expiration: 2039-12-05
Also published as: CN110888101B

Abstract

The invention discloses an electric energy meter abnormity diagnosis method, an electric energy meter abnormity diagnosis device, a computer readable storage medium and electronic equipment, wherein the method comprises the following steps: acquiring user electricity consumption data acquired by a user electric energy meter; carrying out abnormity diagnosis on the user electricity utilization data, and determining index abnormity probability of at least one electricity utilization parameter index; and determining the abnormal probability of the user electric energy meter according to the index abnormal probability corresponding to each power utilization parameter index. By the technical scheme, the abnormal condition of the user electric energy meter can be more accurately determined.

Description

Electric energy meter abnormity diagnosis method and device

Technical Field

The invention relates to the technical field of energy, in particular to an electric energy meter abnormity diagnosis method and device.

Background

With the rapid development of technologies such as cloud computing, big data, artificial intelligence and the like, the electricity consumption data of the special transformer collected by the special transformer collecting terminal is rapidly increased, the data is more and more accurate, and the electricity consumption data of the special transformer needs to be deeply mined and analyzed, so that faults are timely discovered and processed, and the electric quantity loss is reduced.

At present, the power utilization faults are mainly determined by means of manual detection.

However, the above method is time-consuming, labor-consuming, highly professional and easy to omit, resulting in failure not being discovered and processed in time, and increasing power loss.

Disclosure of Invention

The invention provides an electric energy meter abnormality diagnosis method and device, a computer readable storage medium and electronic equipment, which can more accurately determine the abnormality of a user electric energy meter.

In a first aspect, the present invention provides an abnormality diagnosis method for an electric energy meter, including:

acquiring user electricity consumption data acquired by a user electric energy meter;

carrying out abnormity diagnosis on the user electricity utilization data, and determining index abnormity probability of at least one electricity utilization parameter index;

and determining the abnormal probability of the user electric energy meter according to the index abnormal probability corresponding to each power utilization parameter index.

Preferably, the first and second electrodes are formed of a metal,

the at least one power usage parameter indicator comprises: any one or more of reverse active electricity quantity, forward active electricity quantity, current, power factor, active power, voltage and electric energy meter element;

the user electricity consumption data comprises: and the electric energy meter data of the user electric energy meter at a plurality of sampling moments.

Preferably, the first and second electrodes are formed of a metal,

the performing abnormality diagnosis on the user electricity consumption data and determining an index abnormality probability of at least one electricity consumption parameter index includes:

obtaining a current imbalance rate and/or a voltage imbalance rate corresponding to the sampling moment according to the electric energy meter data corresponding to the sampling moment;

when the reverse active electric quantity value in the electric energy meter data meets a first preset condition, judging that the index abnormal probability of the reverse active electric quantity is a first preset value;

when the forward active electric quantity value in the electric energy meter data meets a second preset condition, judging that the index abnormal probability of the forward active electric quantity is a first preset value;

when the maximum phase voltage, the minimum phase voltage and the secondary side rated voltage of three phases in the electric energy meter data corresponding to any sampling moment meet a third preset condition, or the voltage unbalance rate and/or the current unbalance rate corresponding to two or more sampling moments meet a fourth preset condition, judging that the index abnormal probability of the voltage is a second preset value;

when any phase load of three phases in the corresponding electric energy meter data at any sampling moment exceeds a preset percentage of a rated load and the total power factor value meets a fifth preset condition, judging that the index abnormal probability of the power factor is a third preset value;

the first preset value is larger than the second preset value, and the second preset value is larger than the third preset value.

Preferably, the first and second electrodes are formed of a metal,

the plurality of sampling moments are located within peak electricity utilization periods;

the current imbalance rate is the ratio of the difference between the maximum phase current and the minimum phase current in the electric energy meter data corresponding to the sampling moment to the maximum phase current, and the voltage imbalance rate is the ratio of the difference between the maximum phase voltage and the minimum phase voltage in the electric energy meter data corresponding to the sampling moment to the maximum phase voltage;

the reverse active power value meeting the first preset condition comprises the following steps: the reverse active electric quantity value for two or more consecutive days is positioned in a preset electric quantity interval;

the forward active electric quantity value meeting a second preset condition comprises the following steps: the positive active electric quantity of two or more consecutive days is decreased in time sequence;

the maximum phase voltage, the minimum phase voltage and the secondary side rated voltage meet a third preset condition, and the third preset condition comprises the following steps: when the voltage range corresponding to the user electric energy meter is larger than 0.38kv and not more than 35kv, the maximum phase voltage is larger than the secondary side rated voltage of a preset first multiple, and the minimum phase voltage is smaller than the secondary side rated voltage of a preset second multiple; when the voltage range corresponding to the user electric energy meter is larger than 35kv and not more than 220kv, the maximum phase voltage is larger than the secondary side rated voltage of a preset third multiple, and the minimum phase voltage is smaller than the secondary side rated voltage of a preset fourth multiple;

the voltage unbalance rate and/or the current unbalance rate meeting a fourth preset condition comprises the following steps: when the voltage range corresponding to the user electric energy meter is larger than 0.38kv and not more than 220kv, the voltage unbalance rate is located in a first preset percentage interval; when the voltage range corresponding to the user electric energy meter is not more than 0.38kv, the voltage unbalance rate is located in a preset second preset percentage interval, and the current unbalance rate is located in a preset third percentage interval.

Preferably, the first and second electrodes are formed of a metal,

the user electric energy meter is a three-phase three-wire electric energy meter; then the process of the first step is carried out,

the condition that the total power factor value meets the fifth preset condition comprises the following steps: the maximum value of the total power factor value in the electric energy meter data corresponding to each sampling point is positioned in a preset power interval;

the performing abnormality diagnosis on the user electricity consumption data and determining an index abnormality probability of at least one electricity consumption parameter index further includes:

according to the electric energy meter data corresponding to the sampling time, acquiring an angle difference value of two electric meter elements in the user electric energy meter, a first ratio of the C-phase current and the A-phase current in the electric energy meter data corresponding to each sampling time, a second ratio of the maximum A-phase current to the minimum A-phase current and a third ratio of the maximum C-phase current to the minimum C-phase current in the electric energy meter data corresponding to each sampling time;

when the maximum A-phase current and the maximum C-phase current are located in a first preset current interval, and the second ratio and the third ratio are located in a preset ratio interval, the index abnormal probability of the current is a third preset value;

when the maximum A-phase current and the maximum C-phase current are located in a first preset current interval, the second ratio and the third ratio are located in a preset ratio interval, and the variance of each first ratio is located in a preset variance interval, the index abnormal probability of the current is a second preset value;

when the phase A current and/or the phase C current in the electric energy meter data corresponding to each sampling moment are negative values, the index abnormal probability of the current is a third preset value;

and when the angle difference value is in the angle interval, the index abnormal probability of the electric energy meter element is a second preset value.

Preferably, the first and second electrodes are formed of a metal,

the user electric energy meter is a three-phase four-wire electric energy meter; then the process of the first step is carried out,

the condition that the total power factor value meets the fifth preset condition comprises the following steps: the difference value between the phase power factor of any phase in the electric energy meter data corresponding to the sampling moment and the total power factor value is positioned in a preset difference value interval;

calculating a power difference value of the sum of the active total power and the absolute value of the split-phase power in the electric energy meter data corresponding to the sampling moment;

when the power difference values corresponding to two or more sampling moments are located in a preset power interval, judging that the index abnormal probability of the active power is a third preset value;

and when the phase current of any phase in the electric energy meter data corresponding to two or more sampling moments is reversed, and the phase power factor corresponding to the reversed phase current is located in a preset phase power factor interval, judging that the index abnormal probability of the current is a third preset value.

Preferably, the first and second electrodes are formed of a metal,

the user electric energy meter is a general meter; then the process of the first step is carried out,

acquiring the electric quantity imbalance rate of the user electric energy meter in a preset time period, wherein the electric quantity imbalance rate is determined based on the forward active electric quantity in the electric energy meter data and the forward active electric quantities of a plurality of sub-meters corresponding to the user electric energy meter;

when the electric quantity imbalance rate is within a preset electric quantity imbalance rate interval, judging that the index abnormal probability of the positive active electric quantity is a second preset value;

when the user electric energy meter has no current, the sub-meter corresponding to the user electric energy meter has current, and the product of the current of the sub-meter and the multiplying power of the sub-meter is located in a second preset current interval, judging that the index abnormal probability of the current is a second preset value.

In a second aspect, the present invention provides an abnormality diagnosis apparatus for an electric energy meter, including:

the acquisition module is used for acquiring user electricity utilization data acquired by the user electric energy meter;

the diagnosis module is used for carrying out abnormity diagnosis on the user electricity utilization data and determining index abnormity probability of at least one electricity utilization parameter index;

and the probability determining module is used for determining a second abnormal probability of the user electricity consumption corresponding to the user electric energy meter according to the index abnormal probability of each electricity consumption parameter index.

In a third aspect, the invention provides a computer-readable storage medium comprising executable instructions which, when executed by a processor of an electronic device, cause the processor to perform the method according to any one of the first aspect.

In a fourth aspect, the present invention provides an electronic device, comprising a processor and a memory storing execution instructions, wherein when the processor executes the execution instructions stored in the memory, the processor performs the method according to any one of the first aspect.

The invention provides an electric energy meter abnormity diagnosis method, an electric energy meter abnormity diagnosis device, a computer readable storage medium and electronic equipment. In conclusion, according to the technical scheme of the invention, the abnormal condition of the user electric energy meter can be accurately determined, and then, the fault of the user electric energy meter can be timely found and processed based on the abnormal condition of the user electric energy meter, so that the electric quantity loss is reduced.

Further effects of the above-mentioned unconventional preferred modes will be described below in conjunction with specific embodiments.

Drawings

In order to more clearly illustrate the embodiments or the prior art solutions of the present invention, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments described in the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive labor.

Fig. 1 is a schematic flow chart of an abnormality diagnosis method for an electric energy meter according to an embodiment of the present invention;

fig. 2 is a schematic structural diagram of an abnormality diagnosis apparatus for an electric energy meter according to an embodiment of the present invention;

fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail and completely with reference to the following embodiments and accompanying drawings. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

As shown in fig. 1, an embodiment of the present invention provides an electric energy meter abnormality diagnosis method, including the following steps:

step 101, acquiring user electricity consumption data collected by a user electric energy meter;

102, carrying out abnormity diagnosis on the user electricity utilization data, and determining index abnormity probability of at least one electricity utilization parameter index;

and 103, determining the abnormal probability of the user electric energy meter according to the index abnormal probability of each power utilization parameter index.

As shown in fig. 1, in the method, user electricity data collected by a user electric energy meter is obtained, then abnormality diagnosis is performed on the user electricity data, index abnormality probabilities of a plurality of electricity parameter indexes are determined, and then abnormality probabilities corresponding to the user electric energy meter are determined according to the index abnormality probabilities of the plurality of electricity parameter indexes. In summary, according to the technical scheme provided by the embodiment of the invention, the abnormal condition of the user electric energy meter can be determined more accurately.

Correspondingly, based on the method provided by the embodiment of the invention, the field inspection can be carried out based on the abnormal condition of the user electric energy meter, so that the fault of the user electric energy meter can be found and processed in time, the electric quantity loss is further reduced, the enterprise loss is saved, and meanwhile, the technical support can be provided for the anti-electricity-stealing of the special transformer.

Specifically, the user electric energy meter specifically refers to an acquisition device for acquiring power consumption information of a special transformer user, and generally includes a three-phase three-wire electric energy meter and a three-phase four-wire electric energy meter.

Specifically, the power utilization parameter index specifically refers to variables indicating important properties in the power utilization process of the user, including but not limited to any one or more of reverse active power, forward active power, current, power factor, active power, voltage, and electric energy meter element, and may be specifically determined in combination with an actual scenario. The user electricity utilization data specifically refers to data items corresponding to electricity utilization parameter indexes of a user in an electricity utilization process, and the data items include but are not limited to voltage, current, power factors, active power, reactive power, load, electric quantity and the like collected by a user electric energy meter, and are specifically determined by combining with an actual scene. Specifically, the user electricity consumption data comprises the data of the user electric energy meter at a plurality of sampling moments every day, the number of the sampling moments is not limited, the sampling moments are usually production peak time points, namely the sampling moments are located in the electricity consumption peak time period, preferably 2 points, 9 points, 15 points and 20 points, the sampling moments are determined according to actual conditions, and preferably are uniformly sampled in the electricity consumption peak time period, so that the reference value of the sampling moments is ensured. The electric energy meter data is data that can be collected by the user electric energy meter, and includes, but is not limited to, phase current, phase voltage, phase power, phase load, phase power factor, active power, electric quantity, and the like.

Specifically, the abnormal probability corresponding to the user electric energy meter is determined according to the index abnormal probability corresponding to each power consumption parameter index, specifically, the abnormal probability corresponding to the user electric energy meter is determined by comprehensively considering the index abnormal probability corresponding to each power consumption parameter index. When a plurality of user electric energy meters exist, the user electric energy meters needing key attention are determined according to the abnormal probability corresponding to each user electric energy meter, so that manpower and material resources are reasonably distributed, the manpower cost, the time cost and the like are reduced, the faults of the user electric energy meters are timely discovered and processed, the electric quantity loss is reduced, and the enterprise loss is reduced.

In an embodiment of the present invention, the performing abnormality diagnosis on the user electricity consumption data and determining an index abnormality probability of at least one electricity consumption parameter index includes:

Specifically, for the reverse active electric quantity, the reverse active electric quantity refers to the electric quantity transmitted by a user to a power supply party, when the reverse active electric quantity values of two or more consecutive days are all greater than a preset electric quantity value, the preset electric quantity value includes but is not limited to 0.1KWH, the setting is specifically required to be combined with actual conditions, the reason for causing the situation is probably that reverse metering is caused due to wrong wiring of the electric energy meter, and meanwhile, the reverse electric quantity generated by motor braking can be eliminated in the time limit of two days, so that the reverse active meter code is considered to be abnormal. It should be noted that the reverse active electric quantity cannot be used for eliminating a gateway meter for power generation, a line power supply check meter, a city power supply gateway meter, a self-service check gateway meter, a corresponding photovoltaic user electric energy meter and a traction user electric energy meter, and is suitable for a three-phase three-wire meter and a three-phase four-wire meter.

Specifically, for the positive active electric quantity, the positive active electric quantity is the electric quantity transmitted to the user from the power supply direction, when the positive active electric quantity falls down, that is, as time goes on, the positive active electric quantity is reduced, and under the condition of correct wiring of the electric energy meter, the situation of falling down of the positive active electric quantity cannot occur, if the falling down occurs, the wiring error of the electric energy meter or the measurement abnormity of the electric energy meter are highly possible, therefore, when the positive active electric quantity value for two or more consecutive days is reduced in time sequence, the wiring abnormity of the electric energy meter can be considered with a very high probability, and the index abnormity probability of the positive active electric quantity is judged to be a first preset value. It should be noted that the positive active electric quantity cannot be used to eliminate the electric energy meter, the photovoltaic user electric energy meter and the traction user electric energy meter which have the meter change record in about half a month, and is suitable for three-phase three-wire and three-phase four-wire electric energy meters.

Specifically, the current imbalance rate indicates a current imbalance condition, the voltage imbalance rate indicates a voltage imbalance condition, and the expression of the current imbalance in the prior art is applicable to the embodiment of the present invention, where for each sampling time, the current imbalance rate preferably selects a ratio of a difference between a maximum phase current and a minimum phase current in the electric energy meter data corresponding to the sampling time to a maximum phase current, and the voltage imbalance rate preferably selects a ratio of a difference between a maximum phase voltage and a minimum phase voltage in the electric energy meter data corresponding to the sampling time to a maximum phase voltage. For example, the sampling time includes 2 o ' clock, 9 o ' clock, 15 o ' clock and 20 o ' clock, and the phase current corresponding to A, B, C in the electric energy meter data of 2 o ' clock is I_a2、I_b2、I_c2The corresponding phase voltages are respectively U_a2、U_b2、U_c2And the phase currents corresponding to A, B, C in the electric energy meter data of 9 points are I respectively_a9、I_b9、I_c9The corresponding phase voltages are respectively U_a9、U_b9、U_c9And the phase currents corresponding to A, B, C in the electric energy meter data of 15 points are I respectively_a15、I_b15、I_c15The corresponding phase voltages are respectively U_a15、U_b15、U_c15In the electric energy meter data of 20 points, the phase currents corresponding to A, B, C are I respectively_a20、I_b20、I_c20Taking point 2 as an example, the current imbalance corresponding to point 2 is (max (I)_a2,I_b2,I_c2)-min(I_a2,I_b2,I_c2))/max(I_a2,I_b2,I_c2) The voltage unbalance rate is (max (U)_a2,U_b2,U_c2)-min(U_a2,U_b2,U_c2))/max(U_a2,U_b2,U_c2) The calculation methods of the current imbalance rate and the voltage imbalance rate corresponding to other sampling moments are similar, and redundant description is omitted.

Specifically, for the voltage, whether the voltage is lost or not is mainly considered, and whether the voltage is lost or not is judged based on whether the output of each phase voltage in the three-phase voltage is the same or whether the three-phase voltage is stable, and the voltage is possibly lost or not of the user electric energy meter is mainly considered here because the current line is reversely connected. Different voltage ranges of different user electric energy meters are considered, and different voltage ranges have different verification rules. When the electric quantity measuring range is 0.38kv, considering that the measuring range of the user electric energy meter is small, the stability of current and voltage is mainly judged, so as to judge whether the user electric energy meter has voltage loss, and when the voltage unbalance rate of two or more sampling moments is located in a first preset percentage interval, preferably (10%, + ∞), namely the voltage unbalance rate is greater than 10%, and the current unbalance rate is smaller than a second preset percentage interval, preferably (-infinity, 30%), namely the current unbalance rate is smaller than 30%, there is a certain possibility that the voltage loss is caused due to reverse connection of a current line of the user electric energy meter, here, the number of the sampling moments is not limited, and particularly, the number of the related sampling moments is determined by combining with the actual situation. For a voltage range of 10kv, 35kv, in a possible implementation, when the voltage unbalance rates corresponding to two or more sampling instants lie in a second predetermined percentage interval, preferably (5%, + ∞), i.e. the voltage unbalance rate is greater than 5%. In another possible implementation manner, for any one sampling time, the maximum phase voltage in the electric energy meter data corresponding to the sampling time is greater than the secondary side rated voltage of a preset first multiple, preferably, the preset first multiple may be 1.15 times, and the minimum phase voltage is less than the secondary side rated voltage of a preset second multiple, preferably, the preset second multiple may be 0.9 times. For a voltage range of 110kv, 220kv, in a possible implementation, when the voltage unbalance rates corresponding to two or more sampling instants are within a second predetermined percentage interval, preferably (5%, + ∞), i.e. the voltage unbalance rate is greater than 5%. In another possible implementation manner, for any one sampling time, the maximum phase voltage in the electric energy meter data corresponding to the sampling time is greater than the secondary side rated voltage of a preset third multiple, preferably, the preset third multiple may be 1.1 times, and the minimum phase voltage is less than the secondary side rated voltage of a preset fourth multiple, preferably, the preset fourth multiple may be 0.95 times. And judging the voltage abnormity based on the method, wherein if the conditions are met, the index abnormity probability of the voltage is a second preset value. The method is not suitable for the condition that the voltage and the current are zero at the same time, and is suitable for a three-phase three-wire electric energy meter and a three-phase four-wire electric energy meter. It should be noted that the maximum phase voltage is the maximum value of the three-phase voltages in the electric meter data corresponding to the sampling time, and the minimum phase voltage is the minimum value of the three-phase voltages in the electric meter data corresponding to the sampling time.

Specifically, the power factor is a factor reflecting the efficiency of power utilization by a user or device. The higher the power factor, the less reactive power the equipment needs, and the better the electrical energy utilization. When the phase load exceeds the preset percentage of the rated load, preferably, the preset percentage may be 10%, and the total power factor value meets a fifth preset condition, it indicates that the user electric energy meter may be abnormal, and the index abnormal probability of the power factor is a third preset value.

It should be noted that the first preset value is greater than the second preset value, the second preset value is greater than the third preset value, the first preset value can indicate that the index abnormality probability is maximum, and the third preset value can indicate that the index abnormality probability is minimum. In consideration of the complexity of the actual scene, the values of the preset percentage, the first preset percentage interval, the second preset percentage interval, the third preset percentage interval, the first multiple, the second multiple, the third multiple and the fourth multiple are not limited to the values mentioned in the embodiment of the present invention, and may be determined specifically by combining with the actual situation.

In one embodiment of the invention, the user electric energy meter is a three-phase three-wire electric energy meter; then the process of the first step is carried out,

Specifically, the three-phase three-wire system electric energy meter is used for metering on the high-voltage side of a user, generally a neutral point ungrounded system is adopted, a reactive compensation device is arranged on the low-voltage side of the user, and secondary wiring errors are very likely to occur when the power factor is too low. Therefore, the maximum value of the total power factor value in the electric meter data respectively corresponding to all the sampling moments is located in a preset power interval, preferably, the preset power interval may be (-0.5, 0.5), that is, the absolute value of the total power factor value is less than 0.5, which needs to be determined by combining with actual conditions.

Specifically, the three-phase three-connection wire is a three-phase two-element meter and comprises two electric meter elements, in a theoretical situation, the angles of the two electric meter elements are equal or the angle difference value is equal to +/-2 pi, and if the angles are not equal, the three-phase three-connection wire is judged to be abnormal. However, in practical situations, since there is a certain angular difference between the power source and the user load imbalance, the angular difference between the two electric meter elements should be set to an additional value, preferably 15, and of course, may be determined in combination with the actual situation. Therefore, the angle difference is located in the angle interval, preferably, the angle interval may be (— infinity, -15%) and (15, + ∞), that is, the absolute value of the angle difference is greater than 15, which needs to be determined in combination with an actual scenario, and at this time, it may be considered that the electric energy meter element is abnormal, and the corresponding index abnormal probability is a second preset value.

Specifically, when the phase-a current and the phase-C current in each sampling time are negative values, or the phase-a current in each sampling time is a negative value and the phase-C current is a positive value, and the user power factor of the user electric energy meter is greater than the preset power factor, the preset power factor is preferably 0.5, and the determination needs to be specifically combined with an actual scene, or the phase-a current in each sampling time is a positive value and the phase-C current is a negative value, it indicates that the current of the three-phase three-wire system electric energy meter is reversed, and may be caused by a secondary wiring error, but the situations of reactive power overcompensation and undercompensation need to be eliminated, and the index abnormal probability of the current.

For a three-phase three-wire electric energy meter, the three-phase three-wire electric energy meter is measured by absolute balance of three-phase load, at the moment, the phase B current is equal to other two-phase currents, namely the sum of the phase A current, the phase B current and the phase C current is equal to 0; if the three-phase load is unbalanced, the B-phase current is larger or smaller than the other two-phase current, and the metering is less accurate. Specifically, a second ratio of the maximum a-phase current and the minimum a-phase current in the electric meter data corresponding to all the sampling moments, and a third ratio of the maximum C-phase current and the minimum C-phase current in the electric meter data corresponding to all the sampling moments are determined, and for each sampling moment, a first ratio of the C-phase current and the a-phase current in the electric meter data corresponding to the sampling moment is determined. For example, taking the phase current data corresponding to the above points 2, 9, 15 and 20 as examples, the first ratio includes I_c2/I_a2、I_c9/I_a9、I_c15/I_a15、I_c20/I_a20The second ratio is max (I)_a2,I_a9,I_a15,I_a20)/min(I_a2,I_a9,I_a15,I_a20) The third ratio is max (I)_c2,I_c9,I_c15,I_c20)/min(I_c2,I_c9,I_c15,I_c20). Considering that the user electric energy meter can detect the current when the equipment is not in operation due to shutdown, the current when the equipment is not in operation needs to be excluded, and when the maximum a-phase current and the maximum C-phase current in the electric meter data corresponding to all sampling moments are located in the first preset current interval, preferably, the first preset current interval may be (0.25, + ∞), that is, the maximum a-phase current and the maximum C-phase current are greater than 0.25A, and it is specifically determined by combining with the actual situation, that the equipment is in the operation state. Considering that the currents should be balanced under normal conditions, the currents at the respective sampling instants do not fluctuate much, that is, the second ratio of the maximum a-phase current to the minimum a-phase current and the third ratio of the maximum C-phase current to the minimum C-phase current in the electric meter data corresponding to all the sampling moments should be within a preset ratio interval, preferably, the preset ratio interval may be (1.3, + ∞), namely, the second ratio and the third ratio are greater than 1.3, which can be determined by combining with the actual scene, at this time, the current collected by the target electric energy meter can be considered to be unbalanced, in a B-phase ungrounded system in the three-phase three-wire system electric energy meter, A, C two-phase current is basically balanced, the phenomenon of current imbalance is probably caused by secondary current shunt or current transformer secondary loop abnormality, therefore, the target electric energy meter is considered to be abnormal, and the index abnormal probability of the current is a third preset value. Because the three-phase four-wire system electric energy meter is generally used on the low-voltage side of a special transformer user, the three-phase current is unbalanced due to the unbalanced low-voltage load of the user, and therefore the criterion is not used for the three-phase four-wire system electric energy meter. If the variance is small, the data is stable, and therefore, when the maximum a-phase current and the maximum C-phase current are located in the first preset current interval, the second ratio and the third ratio are all greater than the preset ratio interval, if the C-phase current and the a-phase current in the electric meter data corresponding to each sampling moment are greater than the preset ratio interval, the data are stableWhen the variance of the first ratio of the phase current is within the preset variance interval, preferably, the preset variance interval may be (0.1, + ∞), that is, the variance of each first ratio is greater than 0.1, which can be determined specifically by combining with an actual scene, and it can be considered that the current collected by the target electric energy meter is unstable, the probability of abnormality of the target electric energy meter is high, and the index abnormality probability of the current is a second preset value.

In one embodiment of the invention, the user electric energy meter is a three-phase four-wire electric energy meter; then the process of the first step is carried out,

Specifically, for a three-phase four-wire meter, the three-phase four-wire electric energy meter is generally used on the low-voltage side of a user, and therefore, when the difference between the phase power factor and the total power factor value of any phase in the electric energy meter data corresponding to any sampling time is located in a preset difference interval, preferably, the preset difference interval may be (0.2, + ∞), that is, the difference between the phase power factor and the total power factor value of any phase is greater than 0.2, which can be specifically determined in combination with an actual scene, and it can be considered that the three-phase four-wire electric energy meter may be abnormal. Meanwhile, the current reversal of any phase may be caused by a wiring error of the electric energy meter, therefore, when the phase current of any one of the three phases in the electric energy meter data corresponding to any sampling moment is reversed, and the phase power factor corresponding to the reversed phase current is located in the preset phase power factor interval, preferably, the preset phase power interval may be (0.1, + ∞), that is, the phase power factor is greater than 0.1, and specifically, the determination can be combined with an actual scene, it can be considered that the three-phase four-wire electric energy meter may be abnormal, and the index abnormality probability of the current is determined to be a third preset value.

The active power is an important parameter index for monitoring whether current wiring of the three-phase four-wire electric energy meter is correct, specifically, for each sampling moment, a power difference value of a sum of an active total power and a split-phase active power absolute value in electric energy meter data corresponding to the sampling moment is determined, when the power difference values corresponding to two or more sampling moments are located in a preset power interval, the number of the sampling moments needs to be determined by combining an actual scene, and if the number of the sampling moments is not specifically limited, the three-phase four-wire electric energy meter can be considered to be abnormal. The three-phase four-wire electric energy meter has a direct-in wiring method and a mutual inductance wiring method, when the three-phase four-wire electric energy meter adopts the direct-in wiring method, the preset power interval can be (∞, -0.1), namely less than-0.1, and when the three-phase four-wire electric energy meter adopts the mutual inductance wiring method, the preset power interval can be (∞, -0.5), namely less than-0.5. The method is not suitable for photovoltaic user electric energy meters and traction user electric energy meters. The split-phase active power comprises A-phase active power, B-phase active power and C-phase active power.

In an embodiment of the invention, the user electric energy meter is a general meter; then the process of the first step is carried out,

Specifically, when the user electric energy meter is a general meter, an electric quantity imbalance rate in a preset time period is determined, the preset time period may be one day, and is specifically determined by combining with an actual scene, the electric quantity imbalance rate is determined based on a forward active electric quantity of the general meter and a forward active electric quantity of a branch meter in electric energy meter data in the preset time period, and the electric quantity imbalance rate is a ratio of a sum of the forward active electric quantity of the general meter and the forward active electric quantity of the branch meter corresponding to the general meter to the forward active electric quantity of the general meter. For example, assume that the positive active power of the summary table X on the nth day is E, and the sub-table corresponding to the summary table X is X₁、X₂、…、X_i，X₁、X₂、…、X_iThe positive active electric quantity on the nth day is respectively E₁、E₂、…、E_iThe imbalance ratio of the electric quantity is (E-E)₁-E₂-…-E_i) And E is used. For the user electric energy meter, the total meter electric quantity is larger than or equal to the sum of the sub meter electric quantities. Because of possible errors of the meter, preferably, the electricity unbalance rate interval may be (1.5%, + ∞), that is, the electricity unbalance rate is greater than 1.5%, and when the electricity unbalance rate is less than 1.5%, the criterion is a normal user, and specifically, the electricity unbalance rate interval may be determined according to a specific scenario.

When the user electric energy meter has no current, the sub-meter corresponding to the user electric energy meter has current, and the product of the current of the sub-meter and the multiplying power of the sub-meter is located in the second preset current interval, preferably, the second preset current interval may be (5, + ∞), that is, greater than 5, and it is specifically determined by combining with the actual scene that the index abnormal probability of the current is determined to be the second preset value.

It will be understood by those skilled in the art that the specific values referred to above are merely for reference and may be determined in particular or in combination with the actual context. The first preset value, the second preset value and the third preset value can be obtained based on production practice, for example, the forward active electric quantity is taken as an example, whether the user electric energy meter is abnormal or not can be determined according to whether the forward active electric quantity value meets a first preset condition or not, then, a worker verifies on site, whether the user electric energy meter is really abnormal or not is determined, so that the ratio between the number of times of accuracy and the number of times of error of abnormality of the user electric energy meter is counted, the ratio is determined to be the first preset value, the accuracy and the like can be counted certainly, and therefore, the production practice is guided. Obviously, the index abnormal probability corresponding to each parameter index may be different, the similar index abnormal probabilities may be combined, and the value of the index abnormal probability in the embodiment of the present invention may be diversified.

Referring to fig. 2, based on the same concept as the method embodiment of the present invention, an embodiment of the present invention further provides an apparatus for diagnosing an abnormality of an electric energy meter, including:

the acquisition module 201 is used for acquiring user electricity consumption data acquired by a user electric energy meter;

a diagnosis module 202, configured to perform abnormality diagnosis on the user electricity consumption data, and determine an index abnormality probability of at least one electricity consumption parameter index;

and the probability determining module 203 is configured to determine a second abnormal probability of the user power consumption corresponding to the user electric energy meter according to the index abnormal probability of each power consumption parameter index.

In an embodiment of the present invention, the diagnosis module 202 is specifically configured to perform the following steps:

In one embodiment of the invention, the plurality of sampling moments are located in peak electricity utilization periods;

the diagnostic module 202 is further configured to perform the following steps:

In one embodiment of the invention, the user electric energy meter is a general meter; then the process of the first step is carried out,

the diagnostic module 202 is further configured to perform the following steps:

Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present invention. On the hardware level, the electronic device includes a processor 301 and a memory 302 storing execution instructions, and optionally further includes an internal bus 303 and a network interface 304. The memory 302 may include a memory 3021, such as a Random-access memory (RAM), and may further include a non-volatile memory 3022 (e.g., at least 1 disk memory); the processor 301, the network interface 304, and the memory 302 may be connected to each other by an internal bus 303, and the internal bus 303 may be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, an EISA (extended Industry Standard Architecture) bus, or the like; the internal bus 303 may be divided into an address bus, a data bus, a control bus, etc., which is indicated by a single double-headed arrow in fig. 3 for ease of illustration, but does not indicate only a single bus or a single type of bus. Of course, the electronic device may also include hardware required for other services. When the processor 301 executes execution instructions stored by the memory 302, the processor 301 performs the method in any of the embodiments of the present invention and at least for performing the method as shown in fig. 1.

In a possible implementation manner, the processor reads the corresponding execution instruction from the nonvolatile memory to the memory and then runs the corresponding execution instruction, and can also obtain the corresponding execution instruction from other equipment, so as to form a power meter abnormality diagnosis device on a logic level. The processor executes the execution instruction stored in the memory, so that the exception diagnosis method for the electric energy meter provided by any embodiment of the invention is realized through the executed execution instruction.

The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or instructions in the form of software. The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

Embodiments of the present invention further provide a computer-readable storage medium, which includes an execution instruction, and when a processor of an electronic device executes the execution instruction, the processor executes a method provided in any one of the embodiments of the present invention. The electronic device may specifically be the electronic device shown in fig. 3; the execution instruction is a computer program corresponding to the electric energy meter abnormality diagnosis device.

It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects.

The embodiments of the present invention are described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, as for the apparatus embodiment, since it is substantially similar to the method embodiment, the description is relatively simple, and for the relevant points, reference may be made to the partial description of the method embodiment.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or boiler that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or boiler. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or boiler that comprises the element.

The above description is only an example of the present invention, and is not intended to limit the present invention. Various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.

Claims

1. An abnormality diagnosis method for an electric energy meter, characterized by comprising:

2. The method of claim 1, wherein the at least one electricity parameter indicator comprises: any one or more of reverse active electricity quantity, forward active electricity quantity, current, power factor, active power, voltage and electric energy meter element;

3. The method of claim 2, wherein said diagnosing the user electricity consumption data for anomalies and determining an index anomaly probability for at least one electricity consumption parameter index comprises:

4. The method of claim 3, wherein the plurality of sampling instants are located within an electricity peak period;

5. The method of claim 4, wherein the consumer electric energy meter is a three-phase three-wire electric energy meter; then the process of the first step is carried out,

6. The method of claim 3, wherein the consumer electric energy meter is a three-phase four-wire electric energy meter; then the process of the first step is carried out,

7. The method of claim 3, wherein the consumer electric energy meter is a summary meter; then the process of the first step is carried out,

8. An abnormality diagnostic device for an electric energy meter, characterized by comprising:

9. A computer-readable storage medium comprising executable instructions that, when executed by a processor of an electronic device, cause the processor to perform the method of any of claims 1-7.

10. An electronic device comprising a processor and a memory storing execution instructions, the processor performing the method of any of claims 1-7 when the processor executes the execution instructions stored by the memory.