CN106054108B - A kind of multiplexing electric abnormality inspection method and device - Google Patents

Abstract

The invention discloses a kind of multiplexing electric abnormality inspection method and devices, and wherein this includes：The first user information of the ammeter to be detected of main website storage is obtained, and reads the power information and second user information of ammeter to be detected；First user information is compared with the second user information, when first user information and the second user information are inconsistent, determines current electrical anomaly.The embodiment of the present invention proposes a kind of multiplexing electric abnormality inspection method, and can helping Utilities Electric Co. power utility check personnel, quick and precisely positioning multiplexing electric abnormality position, raising power utility check efficiency greatly reduce inspection difficulty at the scene, time saving and energy saving.

Description

Electricity utilization abnormity checking method and device

Technical Field

The invention relates to the technical field of power detection, in particular to a method and a device for checking power utilization abnormity.

Background

Since the innovation of China is opened, economic development and social progress all make remarkable achievement. With the development of economy, the demand for electricity is expanding, and the expansion of electricity sales markets stimulates the development of the whole electricity production. However, with the development of economy and the increase of power consumption, especially with the establishment of a market economic system, the problem of abnormal power consumption becomes more and more prominent, which not only causes huge economic loss to the country and the power management department, but also seriously interferes with the normal power supply and utilization order, even causes fire, damages power supply equipment, even causes large-area power failure, affects the safety and social stability of public power grids, and the safety problem that some lawbreakers have personal accidents due to wiring disorder on power supply facilities sometimes occurs.

At present, except for frequent abnormal electricity utilization events of a special transformer user, the abnormal electricity utilization cases of resident users are increased year by year, and the total annual electricity consumption is extremely large due to the huge number of the resident users. Therefore, the electricity utilization abnormity of the residential users cannot be ignored, and corresponding measures must be adopted to reduce the occurrence of the electricity utilization abnormity events of the residential users, so that the economic loss is recovered for the country and the power supply enterprises.

For the current abnormal electricity consumption case of the residential users increasing year by year, the power enterprises have taken relevant measures to deal with the abnormal electricity consumption case, such as: the method has the advantages of enhancing line loss management, perfecting electricity checking system, increasing meter reading times and the like, and most of used electricity utilization abnormity checking tools are multimeters and various corresponding electricity utilization monitoring devices. The universal meter can only detect the information of voltage, current and the like of a user, and the power utilization information of the user is difficult to accurately acquire. Although the electricity consumption monitoring equipment can acquire accurate electricity consumption information, the method is not favorable for inspection personnel to check electricity consumption abnormity due to the defects of heavy equipment volume, high requirement on the surrounding environment and the like. Sometimes, the fine is implemented by means of the help provided by the surrounding residents and the experience of the special staff with abnormal electricity consumption and after the special staff is checked, testified and issued. The passive verification cannot actively discover a large number of hidden electricity utilization abnormal events, and has high experience requirements on electricity utilization inspectors. In addition, the number of resident users is huge, limited manpower resources are used alone, time and labor are wasted when the position is checked, the difficulty of the position checking is high, and the efficiency is low.

Therefore, in order to break through the traditional checking mode, effectively check the case of abnormal electricity consumption of the resident users and help the on-site checking personnel of the electric power enterprise to quickly and accurately position, an inspection tool for abnormal electricity consumption of the resident users, namely an electric meter error quick calibrator, appears in the field of electric power checking, the calibrator mainly compares the electric energy corresponding to the actual pulse number of the electric meter to the electric energy corresponding to the standard theoretical pulse, and the abnormal electricity consumption of the user is considered to appear when the error exceeds the threshold value after multiple measurements. However, with the continuous high occurrence of the abnormal electricity consumption case of the residential user, the abnormal electricity consumption caused by the events of replacing the electricity meter, changing the information of the electricity meter, losing the voltage, current and phase of the electricity meter and the like sometimes occurs, and the rapid error check meter for the electricity meter cannot be applied to the electric energy comparison corresponding to the pulse under the above situations. Therefore, the method of simply checking the electric meter pulse cannot meet the electricity inspection requirement when the actual electricity environment is changed in a complex way.

This information disclosed in this background of the invention section is only for the purpose of increasing an understanding of the general background of the invention and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art that is already known to a person skilled in the art.

Disclosure of Invention

The invention aims to provide a method and a device for checking electricity utilization abnormity, so as to overcome the defect that the method for simply checking the electric meter pulse in the prior art cannot meet the electricity utilization checking requirement when the actual electricity utilization environment is changed in a complex way.

The invention relates to a power utilization abnormity inspection method, which comprises the following steps:

acquiring first user information of the to-be-detected electric meter stored by a main station, and reading power utilization information and second user information of the to-be-detected electric meter;

comparing the first user information with the second user information, and determining that abnormal power utilization occurs when the first user information is inconsistent with the second user information.

In one possible implementation, when the first user information is consistent with the second user information,

calculating the electricity consumption abnormity suspicion index according to a preset electricity consumption abnormity suspicion index calculation method and the electricity consumption information, and judging whether the electricity consumption abnormity suspicion index is larger than a preset threshold value or not;

and when the suspected index of the power utilization abnormality is not greater than a preset threshold value, determining that no power utilization abnormality occurs.

In one possible implementation, when the suspicion index of the electricity utilization abnormality is larger than a preset threshold value,

calculating the actual consumed electric quantity within a preset time after the outlet side of the ammeter to be detected is connected with a standard electronic load;

comparing the theoretical power consumption of the standard electronic load within the preset time with the actual power consumption;

and judging whether the power utilization abnormity occurs according to the comparison result.

In a possible implementation manner, the calculating the suspected index of power consumption abnormality according to the preset suspected index of power consumption calculation method and the power consumption information includes:

distributing corresponding index weight to each type of sub-information in the electricity utilization information, wherein the electricity utilization information comprises one or more types of event record sub-information, electric quantity sub-information, load sub-information and line loss sub-information;

judging whether each type of sub information in the electricity utilization information has corresponding electricity utilization abnormity suspicion data;

when one type of sub information has corresponding electricity abnormal suspicion data, adding preset increments corresponding to the electricity abnormal suspicion data to a preset electricity abnormal suspicion index, wherein the sum of the preset increments of the type of sub information is not more than the maximum index value corresponding to the index weight of the type of sub information.

In one possible implementation, the event record sub-information includes one or more of a voltage loss event, a full voltage loss event, a phase failure event, a current breaking event, a current loss event, a reverse phase sequence event, a tidal current reverse event, a current imbalance event, a magnetic field interference event, a load switch malfunction event, and an open meter cover event;

when the electricity consumption information includes the event record sub-information, the determining whether each type of sub-information in the electricity consumption information has corresponding suspicion data of electricity consumption abnormality includes:

respectively acquiring the electricity utilization data at the starting moment and the electricity utilization data at the ending moment corresponding to each event in the event record sub-information, and determining corresponding power change values; when the power change value is larger than a preset power change value, determining that the electricity utilization abnormity suspicion data exists in the event; and/or

Respectively determining the occurrence time of each event in the event record sub-information, and determining the daily freezing electric quantity in a first preset time period, wherein the occurrence time of the event is positioned in the first preset time period; and when the difference value between two continuous day freezing electric quantities is larger than the preset freezing electric quantity difference value, determining that the electricity utilization abnormity suspicion data exists in the event.

In a possible implementation manner, when the electricity consumption information includes the electricity quantum information, the determining whether there is corresponding suspected electricity consumption data in each type of sub information in the electricity consumption information includes:

determining daily electricity quantity E of each day in second preset time period_iDetermining the average value AvgE of the daily electric quantity; when AvgE and E_iWhen the difference value between the current power utilization abnormality and the current power utilization abnormality is larger than a first preset difference value, determining that the electricity utilization abnormality suspicion data exists in the ith day; wherein i is 1,2,3 … n, and n is the number of days included in the second preset time period; and/or

Obtaining the daily historical electric quantity Eh of the secondary station in the second preset time period of the historical synchronization_iDetermining the average value AvgEh of the historical daily electric quantity; when AvgEh and daily electric quantity E_iWhen the difference value between the current power utilization abnormality and the current power utilization abnormality is larger than a second preset difference value, determining that the electricity utilization abnormality suspicion data exists in the ith day; wherein i is 1,2,3 … n, and n is the number of days included in the second preset time period; and/or

Determining average value AvgE of daily electricity quantity of sliding k days_jWhen the difference value between the average values of the daily electricity consumption of two adjacent sliding k days is larger than a third preset difference value, determining the AvgE_jSuspected data of abnormal electricity utilization exist; wherein,j is the initial number of days of k days of slip, E_iThe daily electricity consumption corresponding to the ith day.

In a possible implementation manner, when the electricity consumption information includes load sub-information, the determining whether each type of sub-information in the electricity consumption information has corresponding suspected data of electricity consumption includes:

determining load records of each load point, and determining that suspected electricity utilization data exists in the load point when the difference value between the voltage value of one load point and the rated voltage is larger than a preset voltage difference value; or

And determining load records of each load point, and determining that the load point has suspicion data of power utilization abnormality when the difference value between the current value and the rated current of one load point is larger than the preset current difference value.

In a possible implementation manner, when the power consumption information includes line loss sub-information, the determining whether there is corresponding suspected power consumption data in each type of sub-information in the power consumption information includes:

acquiring line loss abnormal distribution area identification in the line loss sub-information, and determining a corresponding line loss abnormal distribution area; and when the local metering point is positioned in one of the line loss abnormal areas, determining that the suspicion data of the electrical abnormality exists.

The invention provides a power consumption abnormality inspection device, comprising:

the information acquisition module is used for acquiring first user information of the to-be-detected electric meter stored by the main station and reading power utilization information and second user information of the to-be-detected electric meter;

and the comparison checking module is used for comparing the first user information with the second user information, and when the first user information is inconsistent with the second user information, determining that abnormal power utilization occurs.

In a possible implementation manner, when the first user information is consistent with the second user information, the apparatus further includes:

the calculation judgment module is used for calculating the electricity utilization abnormality suspicion index according to a preset electricity utilization abnormality suspicion index calculation method and the electricity utilization information and judging whether the electricity utilization abnormality suspicion index is larger than a preset threshold value or not;

and the judgment execution module is used for determining that the electricity utilization abnormity does not occur when the suspicion index of the electricity utilization abnormity is not greater than a preset threshold value.

In a possible implementation manner, when the suspicion index of power consumption abnormality is greater than a preset threshold, the apparatus further includes:

the electric quantity calculation module is used for calculating the actual electric quantity consumed within a preset time after the outlet side of the electric meter to be detected is connected with the standard electronic load;

the electric quantity comparison module is used for comparing the theoretical electric quantity consumed by the standard electronic load within the preset time with the actual electric quantity consumed by the standard electronic load;

and the abnormity judgment module is used for judging whether the electricity utilization abnormity occurs according to the comparison result.

In a possible implementation manner, the calculation and judgment module specifically includes:

the distribution submodule is used for distributing corresponding index weight to each type of sub information in the electricity utilization information, and the electricity utilization information comprises one or more types of event record sub information, electric quantity sub information, load sub information and line loss sub information;

the judging submodule is used for judging whether each type of sub information in the electricity utilization information has corresponding electricity utilization abnormity suspicion data;

and the processing submodule is used for increasing preset increments corresponding to the electricity consumption abnormal suspected data for a preset electricity consumption abnormal suspected index when corresponding electricity consumption abnormal suspected data exists in one type of sub information, and the sum of the preset increments of the type of sub information is not more than the maximum index value corresponding to the index weight of the type of sub information.

In one possible implementation, the event record sub-information includes one or more of a voltage loss event, a full voltage loss event, a phase failure event, a current breaking event, a current loss event, a reverse phase sequence event, a tidal current reverse event, a current imbalance event, a magnetic field interference event, a load switch malfunction event, and an open meter cover event;

when the electricity consumption information includes the event record sub-information, the judgment sub-module is configured to:

respectively acquiring the electricity utilization data at the starting moment and the electricity utilization data at the ending moment corresponding to each event in the event record sub-information, and determining corresponding power change values; when the power change value is larger than a preset power change value, determining that the electricity utilization abnormity suspicion data exists in the event; and/or

Respectively determining the occurrence time of each event in the event record sub-information, and determining the daily freezing electric quantity in a first preset time period, wherein the occurrence time of the event is positioned in the first preset time period; and when the difference value between two continuous day freezing electric quantities is larger than the preset freezing electric quantity difference value, determining that the electricity utilization abnormity suspicion data exists in the event.

In a possible implementation manner, when the electricity information includes the electrical quantum information, the determining sub-module is configured to:

determining daily electricity quantity E of each day in second preset time period_iDetermining the average value AvgE of the daily electric quantity; when AvgE and E_iWhen the difference value between the current power utilization abnormality and the current power utilization abnormality is larger than a first preset difference value, determining that the electricity utilization abnormality suspicion data exists in the ith day; wherein i is 1,2,3 … n, and n is the number of days included in the second preset time period; and/or

Obtaining the daily historical electric quantity Eh of the secondary station in the second preset time period of the historical synchronization_iDetermining the average value AvgEh of the historical daily electric quantity; when AvgEh and daily electric quantity E_iWhen the difference value between the current power utilization abnormality and the current power utilization abnormality is larger than a second preset difference value, determining that the electricity utilization abnormality suspicion data exists in the ith day; wherein i is 1,2,3 … n, and n is the number of days included in the second preset time period; and/or

Determining average value AvgE of daily electricity quantity of sliding k days_jWhen the difference value between the average values of the daily electricity consumption of two adjacent sliding k days is larger than a third preset difference value, determining the AvgE_jSuspected data of abnormal electricity utilization exist; wherein,j is the initial number of days of k days of slip, E_iThe daily electricity consumption corresponding to the ith day.

In a possible implementation manner, when the electricity consumption information includes load sub-information, the determining sub-module is configured to:

determining load records of each load point, and determining that suspected electricity utilization data exists in the load point when the difference value between the voltage value of one load point and the rated voltage is larger than a preset voltage difference value; or

And determining load records of each load point, and determining that the load point has suspicion data of power utilization abnormality when the difference value between the current value and the rated current of one load point is larger than the preset current difference value.

In a possible implementation manner, when the power consumption information includes line loss sub-information, the determining sub-module is configured to:

acquiring line loss abnormal distribution area identification in the line loss sub-information, and determining a corresponding line loss abnormal distribution area; and when the local metering point is positioned in one of the line loss abnormal areas, determining that the suspicion data of the electrical abnormality exists.

Compared with the prior art, the invention has the following beneficial effects: according to the method and the device for checking the electricity utilization abnormity, the electricity utilization abnormity suspicion indexes are preset, through classifying the electricity utilization information and distributing the index weight, the corresponding preset increment of the electricity utilization abnormity suspicion data is respectively determined according to each type of sub information, the corresponding preset increment is added to the electricity utilization abnormity suspicion indexes, and when the accumulated electricity utilization abnormity suspicion indexes are larger than the preset threshold value, the existence of the electricity utilization abnormity event can be determined. The method classifies the electricity utilization information and distributes index weights, so that comprehensive analysis and judgment can be performed according to the information of the electric quantity, the events, the loads and the line loss, users with high electricity utilization abnormal degree can be found accurately, the difficulty in finding and treating is greatly reduced, and the working efficiency of electricity utilization inspectors of power companies is improved. Meanwhile, the power utilization information is classified, preset increments are added to the power utilization abnormity suspicion indexes respectively, and finally the determined power utilization abnormity suspicion indexes are accumulated to determine the final power utilization abnormity suspicion index ELI, so that different types of sub information can be synchronously processed, and the processing efficiency can be improved.

Drawings

Fig. 1 is a flowchart of a power consumption abnormality checking method according to a first embodiment of the present invention.

Fig. 2 is a flowchart of a power consumption abnormality checking method according to a second embodiment of the present invention.

Fig. 3 is a flowchart illustrating a possible implementation manner according to a third embodiment of the present invention.

Fig. 4 is a flowchart illustrating another possible implementation manner according to a third embodiment of the present invention.

Fig. 5 is a schematic structural view of an electricity abnormality inspection apparatus according to a fourth embodiment of the present invention.

Fig. 6 is a hardware composition diagram of a power consumption abnormality checking apparatus according to an embodiment of the present invention.

Detailed Description

The following detailed description of the present invention is provided in conjunction with the accompanying drawings, but it should be understood that the scope of the present invention is not limited to the specific embodiments.

Throughout the specification and claims, unless explicitly stated otherwise, the word "comprise", or variations such as "comprises" or "comprising", will be understood to imply the inclusion of a stated element or component but not the exclusion of any other element or component.

The invention provides a method and a device for checking electricity utilization abnormity, aiming at solving the technical problem that a method for simply checking electricity meter pulse in the prior art cannot meet the electricity utilization checking requirement when the actual electricity utilization environment is changed in a complex way.

The electricity utilization abnormity inspection device reads basic information (such as meter address, transformer transformation ratio, pulse constant, installation position, gain and the like), event information (such as voltage loss, phase failure, current loss, reverse phase sequence, reversed current flow, current imbalance, meter cover opening and the like), electric energy information and the like of an electric power user electricity meter, compares the basic information with related information acquired from a master station, and calculates corresponding electricity utilization abnormity suspicion indexes, thereby finding electricity utilization abnormity on site and providing help for electricity utilization inspection work.

Example one

As shown in fig. 1, a power consumption abnormality checking method according to an embodiment of the present invention includes:

step S101: the method comprises the steps of obtaining first user information of the to-be-detected electric meter stored by a main station, and reading power utilization information and second user information of the to-be-detected electric meter.

The method of the embodiment of the invention obtains the first user information (the electric meter user information stored in the main station) of the electric meter to be detected through the main station (a marketing system/a metering automation system of an electric power company), and simultaneously reads the electricity consumption information and the second user information (the actual user information of the electric meter to be detected) of the electric meter to be detected on site through infrared and RFID (radio frequency Identification).

Wherein the user information includes: a user name, an ID number, an identification, etc., and the electricity consumption information includes various kinds of electricity consumption data.

Step S102: comparing the first user information with the second user information, and determining that abnormal power utilization occurs when the first user information is inconsistent with the second user information.

According to the method provided by the embodiment of the invention, the matching degree of the first user information of the electric meter acquired from the main station and the second user information read from the electric meter to be detected on site is compared by setting the information matching option inside, so that data filtering is completed, and whether the electric meter to be detected is the correct electric meter is judged. And if the two user information are inconsistent, the electricity consumption abnormality is determined if the electricity meter to be detected is not the correct electricity meter.

When the first user information is consistent with the second user information, step S103 is executed,

step S103: and calculating the electricity consumption abnormality suspicion index according to a preset electricity consumption abnormality suspicion index calculation method and the electricity consumption information, and judging whether the electricity consumption abnormality suspicion index is larger than a preset threshold value or not.

According to the embodiment of the invention, the electricity utilization abnormity suspicion index is calculated by a preset electricity utilization abnormity suspicion index calculation method, and the calculated electricity utilization abnormity suspicion index is compared with a threshold value preset through historical experience, so that whether electricity utilization abnormity possibly exists is judged.

Step S104: and when the suspected index of the power utilization abnormality is not greater than a preset threshold value, determining that no power utilization abnormality occurs.

When the suspicion index of the electricity utilization abnormality is not larger than the preset threshold value, the electricity utilization abnormality phenomenon is not generated, and therefore the electricity utilization abnormality can be determined not to occur.

And when the suspicion index of the electricity utilization abnormality is larger than a preset threshold value, executing the step S105.

Step S105: and calculating the actual consumed electric quantity within a preset time after the outlet side of the electric meter to be detected is connected with the standard electronic load.

When the suspected index of the electricity utilization abnormality is larger than a preset threshold value, the suspected index of the electricity utilization abnormality indicates that the electricity utilization abnormality may exist, at the moment, a standard electronic load is connected to the outlet side of the electricity meter to perform pulse counting verification error judgment, and the standard electronic load can be a load with the power of 1KW, for example.

Step S106: comparing the theoretical power consumption of the standard electronic load within the preset time with the actual power consumption;

in step S106, for example, the theoretical power consumption of the standard electronic load within 1 minute of the preset time period and the actual power consumption within 1 minute after accessing the outlet side of the electric meter may be tested.

Step S107: and judging whether the power utilization abnormity occurs according to the comparison result.

And (4) connecting a standard electronic load at the outlet side of the user electric meter to judge the pulse counting and checking error. And judging whether the power utilization abnormity exists according to the final display result.

If the actual consumed electric quantity is equal to the theoretical consumed electric quantity or the error between the actual consumed electric quantity and the theoretical consumed electric quantity is in an allowable range, indicating that no electricity utilization abnormity occurs; and if the actual consumed electric quantity is not equal to the theoretical consumed electric quantity or the error between the actual consumed electric quantity and the theoretical consumed electric quantity is out of an allowable range, indicating that the electricity utilization abnormity occurs.

The embodiment of the invention provides a power consumption abnormity inspection method which can help power consumption inspectors of an electric company to quickly and accurately position power consumption abnormity on site, improve power consumption inspection efficiency, greatly reduce inspection difficulty and save time and labor. Compared with the existing equipment for checking and processing the electricity utilization abnormity, the method and the device have the function of checking the electric meter pulse, and judge the electricity utilization abnormity by calculating the suspected index of the electricity utilization abnormity, so that the electricity utilization abnormity cases such as replacing the electric meter, changing the information of the electric meter, losing voltage, losing current, phase failure and the like can be checked and processed, and the defect of the existing equipment for checking and processing the electricity utilization abnormity is overcome.

Example two

As shown in fig. 2, a description is given of "calculating a suspected index of power consumption abnormality according to a preset suspected index calculation method of power consumption abnormality and the power consumption information" in step S103 in the first embodiment, including the following steps:

step S201: allocating corresponding index weight to each type of sub information in the electricity utilization information; the electricity consumption information includes one or more types of event record sub-information, electricity quantity sub-information, load sub-information, and line loss sub-information.

Preferably, the electricity consumption information includes at least two types of sub-information. In the embodiment of the present invention, the electricity consumption information is classified, and specifically, the electricity consumption information may be classified into an event type, an electricity quantity type, a load type, a line loss type, and the like, and the event record sub-information, the electricity quantity sub-information, the load sub-information, and the line loss sub-information correspond to the above. Meanwhile, corresponding index weight is distributed to each type of sub-information in the electricity utilization information, and the electricity utilization abnormal degree is judged through a preset index. Specifically, in the embodiment of the present invention, an electricity consumption abnormality suspicion Index (ELI) is used to evaluate the electricity consumption abnormality degree of the user, and the higher the Index is, the greater the electricity consumption abnormality suspicion is. For example, the ELI may assign the index weights of the event class, the power class, the load class, and the line loss class to 40%, 10%, and 10% in the overall evaluation, respectively, in a full score of 100.

Step S202: and judging whether each type of sub information in the electricity utilization information has corresponding electricity utilization abnormity suspicion data.

Since the electricity consumption information may include various types of sub information, it is necessary to determine each type of sub information and determine whether suspected electricity consumption data exists. Since each type of sub-information may contain a large amount of data, there may be more than one suspected power utilization data in each type of sub-information.

Step S203: when one type of sub information has corresponding electricity abnormal suspicion data, a preset increment corresponding to the electricity abnormal suspicion data is added to a preset electricity abnormal suspicion index, and the sum of the preset increments of the type of sub information is not larger than the maximum index value corresponding to the index weight of the type of sub information.

In the embodiment of the present invention, a suspicion index of power consumption abnormality is preset, and the suspicion index of power consumption abnormality has an initial value, which may be set to zero or other values. Meanwhile, as described above, since each type of sub-information may have more than one suspicion data of power consumption abnormality, the preset increment corresponds to the suspicion data of power consumption abnormality. For example, in the judgment based on the electronic informationIf the suspected electricity consumption data exist, the daily electricity consumption E of n days recorded by the electricity meter can be used_iAnd average value AvgE of the average value, and daily electric quantity E of the day_iWhen the difference value between the average value AvgE and the average value AvgE is larger than a preset difference value, the fact that electricity utilization abnormality suspicion data exists in the ith day can be determined, namely the daily electricity quantity E of the ith day_iCorresponding to electricity utilization abnormity suspicion data; meanwhile, daily electricity consumption E of day i +1_i+1The difference between the AvgE and the AvgE is possibly larger than the preset difference, and the daily electricity consumption E is_i+1The method can also correspond to electricity utilization abnormity suspicion data. In step S203, two corresponding preset increments are added to the suspicion index of power consumption abnormality according to the two suspicion data of power consumption abnormality.

Meanwhile, the sum of the preset increments of the sub information is not more than the maximum index value corresponding to the index weight of the sub information; that is, even if a large amount of suspicion data of power consumption abnormality exists in a certain type of sub information, the suspicion index of power consumption abnormality that can be increased only by the type of sub information is limited, and does not exceed the maximum index value corresponding to the index weight of the type of sub information at the maximum. For example, if the suspected electricity consumption abnormality index full is 100, the initial value is zero, and the index weight of the sub information of the electricity class (i.e., the electricity sub information) is 40%, the maximum index value corresponding to the electricity sub information index weight is 100 × 40%, which is 40; if the daily electricity consumption E of n (100 ═ 60) days is recorded according to the electric meter_iAnd the average value AvgE of the power consumption abnormal suspicion data is judged to exist, and if the suspicion data exists, the average value AvgE is 25 days_iThe difference value between the average value AvgE and the average value AvgE is greater than a preset difference value, and the preset increment corresponding to each piece of suspicion data of electricity consumption abnormality is 2, so that after the preset increment is added to the suspicion index of electricity consumption abnormality, the suspicion index of electricity consumption abnormality may be 0+2 × 25-50; however, since the sum of the preset increments of each type of sub information is not greater than the maximum index value corresponding to the index weight of the type of sub information, and the maximum index value corresponding to the index weight of the electronic sub information is 40, the suspected index of the electricity utilization abnormality is finally limited to 40.

In the embodiment of the invention, the preset increment corresponding to the suspicion data of the power utilization abnormality existing in each type of sub-information is determined to be accumulated and added to the suspicion index ELI of the power utilization abnormality, and if the suspicion index of the power utilization abnormality after accumulation is larger than the preset threshold value, the power utilization information contains too much suspicion data of the power utilization abnormality, so that the power utilization abnormality event can be determined to exist.

According to the electricity utilization abnormity inspection method provided by the embodiment of the invention, the electricity utilization abnormity suspicion indexes are preset, through classifying the electricity utilization information and distributing the index weight, the corresponding preset increment of the electricity utilization abnormity suspicion data is respectively determined according to each type of sub information, the corresponding preset increment is added to the electricity utilization abnormity suspicion indexes, and when the accumulated electricity utilization abnormity suspicion indexes are larger than the preset threshold value, the electricity utilization abnormity is considered to possibly exist. The method of the embodiment of the invention classifies the electricity utilization information and distributes the index weight, thereby carrying out comprehensive analysis and judgment according to the information of the electric quantity, the event, the load and the line loss, more accurately searching the users with higher abnormal electricity utilization degree, greatly reducing the difficulty of searching and processing and improving the working efficiency of electricity utilization inspectors of the power company.

Preferably, as shown in step S202, each type of sub information is determined. Specifically, in the embodiment of the present invention, the event record sub-information includes one or more of a voltage loss event, a full voltage loss event, a phase failure event, a current breaking event, a current loss event, a reverse phase sequence event, a power flow reversal event, a current imbalance event, a magnetic field interference event, a load switch malfunction event, and an open meter cover event.

When the electricity consumption information includes event record sub-information, the step S202 "determining whether each type of sub-information in the electricity consumption information has corresponding suspected electricity consumption data" specifically includes:

step A1, respectively acquiring the electricity data at the starting time and the electricity data at the ending time corresponding to each event in the event record sub-information, and determining the corresponding power change value;

and A2, when the power change value is larger than the preset power change value, determining that the suspected power utilization data exists in the event.

For example, if the event log sub-information includes information related to the voltage loss event, in step a1, the start time, the end time, and the electricity consumption data (such as voltage, current, and power) at the start time and the electricity consumption data (which may include voltage, current, and power) at the end time of the voltage loss event may be determined; the power change value before and after the voltage loss event can be determined according to the starting time electricity consumption data and the ending time electricity consumption data. Meanwhile, the duration of the voltage loss event may be determined according to the start time and the end time of the voltage loss event, a power variation value within the same duration under a normal condition is determined in step a2 (which is used as a preset power variation value), when a difference between the power variation value of the voltage loss event and the power variation value under the normal condition is too large (for example, the power variation value of the voltage loss event exceeds the power variation value under the normal condition by more than 20%), it may be determined that suspected power utilization data exists, and then a corresponding preset increment may be determined, and a process of increasing the preset increment to the suspected index of power utilization in step S203 is performed.

Or, the step S202 of "determining whether each type of sub information in the electricity consumption information has corresponding suspected electricity consumption data" specifically includes:

step A3, respectively determining the occurrence time of each event in the event record sub-information, and determining the daily freezing electric quantity in a first preset time period, wherein the occurrence time of the event is in the first preset time period;

and step A4, when the difference value between two continuous day freezing electric quantity is larger than the preset freezing electric quantity difference value, determining that the electricity utilization abnormality suspicion data exists in the event.

Specifically, the electricity meter may generally store the daily frozen electricity amount for 62 days (two months), and when the occurrence time of the event corresponding to the event record sub-information is within 62 days, the steps A3-a4 may be performed. For example, the event record sub-information includes information related to a voltage loss event, which occurs ten days before (i.e., 62 days or more)Inner), the daily freezing electric quantity of the day on which the voltage loss event occurs and the day 3 before and after the voltage loss event (i.e. the first preset time period is 3 days) can be obtained, and the daily freezing electric quantity is respectively E_i、E_i-1And E_i+1. Difference between daily freezing capacities (i.e. E)_iAnd E_i-1Difference between or E_iAnd E_i+1The difference value) is larger than the preset freezing electric quantity difference value, the suspected data of abnormal electricity utilization is determined to exist in the event.

When the suspicion data of the electricity consumption abnormality is judged to exist according to the event record sub-information, the suspicion data of the electricity consumption abnormality may include only the steps a1-a2, only the steps A3-a4, and also include the steps a1-a 4. Because the power or the electricity consumption is generally changed when an abnormal event occurs, whether suspected electricity consumption data exist can be accurately determined through the change of the power change value or the daily freezing amount.

Preferably, when the electricity consumption information includes electronic quantum information, "determining whether there is corresponding suspected electricity consumption data for each type of sub information in the electricity consumption information" includes:

step B1, determining daily electric quantity E of electricity in a second preset time period_iDetermining the average value AvgE of the daily electric quantity;

step B2, when AvgE and E are present_iWhen the difference value between the current power utilization abnormality and the current power utilization abnormality is larger than a first preset difference value, determining that the electricity utilization abnormality suspicion data exists in the ith day; where, i is 1,2,3 … n, and n is the number of days included in the second preset time period.

In particular, the method comprises the following steps of,it should be noted that, in the embodiment of the present invention, AvgE and E_iThe difference between greater than the first predetermined difference means "AvgE-E_iGreater than the first predetermined difference, or "E_i-AvgE is greater than this first predetermined difference ", it is of course also possible to select only one of these cases as the decision condition, for example only in case" AvgE-E_iAnd if the difference is larger than the first preset difference, the suspected power utilization data is determined to exist. Other similar descriptions are intended to have the same meaning.

Or, when the electricity consumption information includes electronic sub-information, "determining whether there is corresponding suspected electricity consumption data for each type of sub-information in the electricity consumption information" includes:

step B3, obtaining the historical daily electric quantity Eh of the electricity from the master station in the second preset time period of the historical synchronization_iDetermining the average value AvgEh of the historical daily electric quantity;

step B4, when AvgEh and E are satisfied_iWhen the difference value between the current power utilization abnormality and the current power utilization abnormality is larger than a second preset difference value, determining that the electricity utilization abnormality suspicion data exists in the ith day; where, i is 1,2,3 … n, and n is the number of days included in the second preset time period.

The local electric meter can only store daily frozen electric quantity for two months generally, and the historical daily electric quantity in the same period can be acquired by the master station. By using the daily electricity consumption E of the current year_iThe daily electric quantity E of the current year can be determined by comparing the average value of the historical periods (such as the date corresponding to the last year, the date corresponding to the previous year, etc.)_iWhether it is abnormal. Meanwhile, since the daily electricity consumption of the current year and the daily electricity consumption of the historical synchronization have normal errors, the second preset difference is larger than the first preset difference under the general condition; may be set to be the same.

Or, when the electricity consumption information includes electronic sub-information, "determining whether there is corresponding suspected electricity consumption data for each type of sub-information in the electricity consumption information" includes:

step B5, determining average value AvgE of daily electricity consumption of sliding k days_j；

Step B6, when the difference value between the average values of the daily electricity consumption of two adjacent sliding k days is larger than a third preset difference value, determining the AvgE_jSuspected data of abnormal electricity utilization exist; wherein,j is the initial number of days of k days of slip, E_iThe daily electricity consumption corresponding to the ith day.

In the embodiment of the present invention, "k days to slip" means "starting at a certain day (e.g., day k) and extending backward for k days", that is, up to day j + k, for a total of k days. For example, since the current day is 10 days from 1/2016, the current day is continued to 1/11/2016, and thus, in step B5, the daily electricity consumption is acquired for 10 days from 1/2016 to 1/11/2016, and the average value AvgE of the daily electricity consumption is determined_j。

Meanwhile, in step B6, the average value of the daily electricity consumption of two adjacent sliding k days is AvgE_jAnd AvgE_j-1Difference between (or AvgE_jAnd AvgE_j+1Difference therebetween), wherein, AvgE_j-1Is also the daily average of k days,

preferably, when the electricity consumption information includes load sub-information, the determining whether each type of sub-information in the electricity consumption information has corresponding suspected electricity consumption data includes:

determining load records of each load point, and determining that suspected electricity utilization data exists in the load point when the difference value between the voltage value of one load point and the rated voltage is larger than a preset voltage difference value; or

And determining load records of each load point, and determining that the load point has suspicion data of power utilization abnormality when the difference value between the current value and the rated current of one load point is larger than the preset current difference value.

In the embodiment of the invention, whether the load point is abnormal or not can be determined by judging whether the voltage value or the current value of the load point is abnormal or not, namely whether suspected electricity utilization data exist or not.

Preferably, when the power consumption information includes line loss sub-information, the method for determining whether each type of sub-information in the power consumption information has corresponding suspected power consumption data includes:

acquiring line loss abnormal distribution area identification in the line loss sub-information, and determining a corresponding line loss abnormal distribution area; and when the local metering point is positioned in one of the line loss abnormal areas, determining that the suspicion data of the electrical abnormality exists.

A transformer area refers to the power supply range or area of a (single) transformer. The line loss abnormal distribution area identification can be obtained through the main station, and all metering points under the line loss abnormal distribution area can be set to be abnormal in line loss. If the local metering point is located in one of the line loss abnormal areas, the suspected data of the electrical abnormality can be determined to exist.

EXAMPLE III

In this embodiment, the power consumption information may be specifically classified into an event type, an electric quantity type, a load type and a line loss type, a power consumption abnormality checking model is established for each type, and index calculation is performed through each model. The suspicion index ELI of electricity utilization abnormality is calculated by full score of 100, and the overall evaluation proportion of each type is event 40%, electricity quantity 40%, load 10% and line loss 10%.

For the sub information of the event class, the event class determination flow diagram is shown in fig. 3, and includes the following steps:

step S301: historical data tracing before and after occurrence of the event is carried out through recorded events such as voltage loss, total voltage loss, phase failure, current loss, reverse phase sequence, reversed tide direction, current imbalance, meter opening and the like.

Step S302: it is determined whether there is an abnormal event record, and if there is an abnormal event record, the step S303 is continued.

Step S303: and recording data such as voltage, current, power and the like at the start time and the end time of each event by using a meter. If the event is ended, comparing the data before and after, and if the power is reduced by more than 20%, determining that the ELI is equal to ELI + 10; otherwise the ELI remains unchanged.

In the third embodiment, the change of the ELI is expressed by a statement in programming, and as the above-mentioned "ELI + 10", it is expressed that "ELI + 10" is reassigned to the ELI, that is, it is equivalent to adding an increment of 10 (i.e., a preset increment) to the ELI.

Step S304: comparing the daily frozen electric quantity of 3 days before and after the event, if E_i<E_i-1(1-20％)，ELI＝ELI+8。

In the third embodiment, if the event occurs within 62 days (i.e., two months), the step S304 may be performed. In step S3S04, 20% of the frozen electric quantity of the previous day is used as the preset frozen electric quantity difference in step a 4. Meanwhile, steps S302-S304 are only a processing flow of one event, and the ELI processed according to the event type sub-information can be finally determined after all the abnormal events in the event record sub-information are processed. Since the sum of the preset increments of a certain type of sub-information is not greater than the maximum index value corresponding to the index weight of the type of sub-information, the steps S302-S304 may be stopped when the increment of the ELI has reached the maximum index value corresponding to the event type of sub-information. In the third embodiment, the ELI is accumulated in the event class judgment and does not exceed 40.

For the sub information of the power class, the schematic diagram of the power class determination process is shown in fig. 4, and includes the following steps:

step S401: calculating the n days of the electric meter record (n)<62) The average value of the electricity data of (AvgE),E_ithe daily electricity consumption of the i day in n days.

Step S402: calculating the average value of historical electric quantity data of historical n days acquired from the master station,Eh_ithe ith day within n days of the historyHistorical daily electricity usage.

Step S403: calculating the average value of the electric quantity data of k days in slidingj is the initial number of days for k days of slipping.

Step S404: comparing daily power with average of n-day power data, e.g. on a certain day E_i<And AvgE (1-10%) then ELI ═ ELI + 1.

Step S405: comparing daily power with historical average of n-day power data, e.g. for a day E_i<AvgEh (1-10%); then ELI is ELI + 1.

Step S406: the average value of the electric quantity data of k days is slid and compared before and after, if the average value is AvgE_j<AvgE_j-1(1-20%), then ELI ═ ELI + 3.

Wherein, step S404, step S405 and step S406 are executed in a loop respectively until all the daily electricity consumption related data are processed or the corresponding maximum index value is reached. In one embodiment, the ELI is accumulated in the power class determination to not exceed 40.

For the sub information of the load class, the load class judgment method mainly comprises the following steps: the load record is read, and it is determined whether or not the voltage value (phase separation) at each point is lower than 80% of the rated voltage, and if so, ELI is ELI + 1. Wherein the accumulation of ELI in the judgment of load class is not more than 10.

For the sub information of the line loss class, the line loss class judgment method mainly comprises the following steps: and acquiring a line loss abnormal zone mark through a master station, wherein all metering points under the zone are set to be line loss abnormal, and ELI is equal to ELI + 10.

In the third embodiment, a power consumption abnormality checking model may be respectively established for each type, each model determines a corresponding power consumption abnormality checking index, then all ELIs are accumulated to determine a final suspected power consumption abnormality index ELI, and if the ELI is greater than or equal to 50, a power consumption abnormal event is determined to exist. The value 50 is a preset threshold value, and may be set to other values such as 60,70, etc. according to actual conditions.

According to the electricity utilization abnormity inspection method provided by the embodiment of the invention, the electricity utilization abnormity suspicion indexes are preset, through classifying the electricity utilization information and distributing the index weight, the corresponding preset increment of the electricity utilization abnormity suspicion data is respectively determined according to each type of sub information, the corresponding preset increment is added to the electricity utilization abnormity suspicion indexes, and when the accumulated electricity utilization abnormity suspicion indexes are larger than the preset threshold value, the existence of an electricity utilization abnormity event can be determined. The method classifies the electricity utilization information and distributes index weights, so that comprehensive analysis and judgment can be performed according to the information of the electric quantity, the events, the loads and the line loss, users with high electricity utilization abnormal degree can be found accurately, the difficulty in finding and treating is greatly reduced, and the working efficiency of electricity utilization inspectors of power companies is improved. Meanwhile, the power utilization information is classified, preset increments are added to the power utilization abnormity suspicion indexes respectively, and finally the determined power utilization abnormity suspicion indexes are accumulated to determine the final power utilization abnormity suspicion index ELI, so that different types of sub information can be synchronously processed, and the processing efficiency can be improved.

Example four

The above first to third embodiments describe in detail the method flow of checking power consumption abnormality, and the method may also be implemented by a corresponding virtual device, and an embodiment of the present invention provides a power consumption abnormality checking device, as shown in fig. 5, including:

the information acquisition module 51 is used for acquiring first user information of the to-be-detected electric meter stored by the main station and reading power utilization information and second user information of the to-be-detected electric meter;

a comparison checking module 52, configured to compare the first user information with the second user information, and determine that power consumption is abnormal when the first user information is inconsistent with the second user information.

In a possible implementation manner, when the first user information is consistent with the second user information, the apparatus further includes:

a calculation and judgment module 53, configured to calculate a suspected electricity consumption index according to a preset suspected electricity consumption index calculation method and the electricity consumption information, and judge whether the suspected electricity consumption index is greater than a preset threshold;

and the judgment execution module 54 is configured to determine that no power utilization abnormality occurs when the suspected index of power utilization abnormality is not greater than a preset threshold.

In a possible implementation manner, when the suspicion index of power consumption abnormality is greater than a preset threshold, the apparatus further includes:

the electric quantity calculating module 55 is used for calculating the actual electric quantity consumed within a preset time after the outlet side of the electric meter to be detected is connected with the standard electronic load;

the electric quantity comparison module 56 is configured to compare the theoretical consumed electric quantity of the standard electronic load within the preset time period with the actual consumed electric quantity;

and an abnormality determining module 57, configured to determine whether an electricity consumption abnormality occurs according to the comparison result.

In a possible implementation manner, the calculation and judgment module 53 specifically includes:

the distribution submodule 531 is configured to distribute corresponding index weights to each type of sub information in the electricity consumption information, where the electricity consumption information includes one or more types of event record sub information, electric quantity sub information, load sub information, and line loss sub information;

the judging submodule 532 is used for judging whether each type of sub information in the electricity utilization information has corresponding electricity utilization abnormity suspicion data;

the processing sub-module 533 is configured to, when there is corresponding suspicion data of electricity consumption abnormality in one type of sub-information, add a preset increment corresponding to the suspicion data of electricity consumption abnormality to a preset suspicion index of electricity consumption abnormality, where a sum of the preset increments of the type of sub-information is not greater than a maximum index value corresponding to the index weight of the type of sub-information.

In one possible implementation, the event record sub-information includes one or more of a voltage loss event, a full voltage loss event, a phase failure event, a current breaking event, a current loss event, a reverse phase sequence event, a tidal current reverse event, a current imbalance event, a magnetic field interference event, a load switch malfunction event, and an open meter cover event;

when the electricity consumption information includes the event record sub-information, the determining sub-module 532 is configured to:

respectively acquiring the electricity utilization data at the starting moment and the electricity utilization data at the ending moment corresponding to each event in the event record sub-information, and determining corresponding power change values; when the power change value is larger than a preset power change value, determining that the electricity utilization abnormity suspicion data exists in the event; and/or

Respectively determining the occurrence time of each event in the event record sub-information, and determining the daily freezing electric quantity in a first preset time period, wherein the occurrence time of the event is positioned in the first preset time period; and when the difference value between two continuous day freezing electric quantities is larger than the preset freezing electric quantity difference value, determining that the electricity utilization abnormity suspicion data exists in the event.

In a possible implementation manner, when the electricity information includes the electrical quantum information, the determining submodule 532 is configured to:

determining daily electricity quantity E of each day in second preset time period_iDetermining the average value AvgE of the daily electric quantity; when AvgE and E_iWhen the difference value between the current power utilization abnormality and the current power utilization abnormality is larger than a first preset difference value, determining that the electricity utilization abnormality suspicion data exists in the ith day; wherein i is 1,2,3 … n, and n is the number of days included in the second preset time period; and/or

Obtaining the daily historical electric quantity Eh of the secondary station in the second preset time period of the historical synchronization_iAnd determining calendarAverage value AvgEh of daily power consumption history; when AvgEh and daily electric quantity E_iWhen the difference value between the current power utilization abnormality and the current power utilization abnormality is larger than a second preset difference value, determining that the electricity utilization abnormality suspicion data exists in the ith day; wherein i is 1,2,3 … n, and n is the number of days included in the second preset time period; and/or

Determining average value AvgE of daily electricity quantity of sliding k days_jWhen the difference value between the average values of the daily electricity consumption of two adjacent sliding k days is larger than a third preset difference value, determining the AvgE_jSuspected data of abnormal electricity utilization exist; wherein,j is the initial number of days of k days of slip, E_iThe daily electricity consumption corresponding to the ith day.

In a possible implementation manner, when the power consumption information includes load sub-information, the determining sub-module 532 is configured to:

determining load records of each load point, and determining that suspected electricity utilization data exists in the load point when the difference value between the voltage value of one load point and the rated voltage is larger than a preset voltage difference value; or

And determining load records of each load point, and determining that the load point has suspicion data of power utilization abnormality when the difference value between the current value and the rated current of one load point is larger than the preset current difference value.

In a possible implementation manner, when the power utilization information includes line loss sub-information, the determining sub-module 532 is configured to:

acquiring line loss abnormal distribution area identification in the line loss sub-information, and determining a corresponding line loss abnormal distribution area; and when the local metering point is positioned in one of the line loss abnormal areas, determining that the suspicion data of the electrical abnormality exists.

According to the power consumption abnormity inspection device provided by the embodiment of the invention, the power consumption abnormity suspicion indexes are preset, through classifying the power consumption information and distributing the index weight, the corresponding preset increment of the power consumption abnormity suspicion data is respectively determined according to each type of sub information, the corresponding preset increment is added to the power consumption abnormity suspicion indexes, and when the accumulated power consumption abnormity suspicion indexes are larger than the preset threshold value, the power consumption abnormity incident can be determined. The method classifies the electricity utilization information and distributes index weights, so that comprehensive analysis and judgment can be performed according to the information of the electric quantity, the events, the loads and the line loss, users with high electricity utilization abnormal degree can be found accurately, the difficulty in finding and treating is greatly reduced, and the working efficiency of electricity utilization inspectors of power companies is improved. Meanwhile, the power utilization information is classified, preset increments are added to the power utilization abnormity suspicion indexes respectively, and finally the determined power utilization abnormity suspicion indexes are accumulated to determine the final power utilization abnormity suspicion index ELI, so that different types of sub information can be synchronously processed, and the processing efficiency can be improved.

The electricity consumption abnormality detection device according to the embodiment of the present invention may also be implemented by an electronic/electrical component, and each component of the multifunctional field electricity consumption detection device is described in detail below, as shown in fig. 6, the electricity consumption abnormality detection device according to the embodiment of the present invention is mainly composed of a central processing unit, an RFID unit, an infrared unit, an RF radio frequency transmission unit, a storage unit, a photoelectric conversion unit, a watchdog protection unit, a power management unit, a battery unit, an operation keyboard unit, a USB unit, a GPRS transmission unit, and the like.

(1) Central processing unit

The central processing unit is the minimum system for ensuring the normal work of the device and is responsible for calling the task of the whole device and managing all peripheral equipment.

(2) RFID unit

An RFID (Radio Frequency Identification) unit reads an electronic seal of an electric meter or an electric meter box to be detected, acquires relevant information of the electric meter to be detected, such as production date, asset number and the like, and the information read by the RFID unit is stored in a storage unit.

(3) Infrared unit

The infrared unit reads the related information of the electric meter through the infrared communication port of the electric meter to be detected, and the read result is stored in the storage unit.

(4) Memory cell

The storage unit stores the data obtained by the photoelectric conversion unit, the infrared unit and the RFID unit, and also stores the related data of the electric meter to be detected, which is derived from the main station, and the data structure comprises: the serial number, the meter number, the ratio of the electric quantity measured by the electric meter to the standard load electric quantity, the current value of a later-stage line and the abnormal mark of available electric quantity and useless electric quantity can be adopted as a main data memory of the memory unit.

(5) RF radio frequency transmission unit

The RF (Radio Frequency) transmission unit is mainly used for controlling the on-off state of the standard electronic load, and when the standard electronic load is connected into the circuit for a long time, the heating phenomenon can occur, and at the moment, the standard electronic load can be controlled to be cut off from the circuit in a wireless mode.

(6) Photoelectric conversion unit

The photoelectric conversion unit has the functions of capturing the flicker of the pulse indicator lamp of the electric meter to be detected, converting the captured flickering optical signal into an electric signal and inputting the electric signal into the storage unit.

(7) Battery unit and power management unit

The battery unit mainly adopts a rechargeable lithium battery to provide working electric energy for the device, the power management unit converts the output voltage of the battery unit into stable power supply voltage, and the device has the charge management capability and has the functions of charge state detection, battery electric quantity detection, low electric quantity alarm, full electric quantity prompt and the like.

(8) Display unit

The display unit is used for displaying each setting item corresponding to the keyboard input, and is also used for displaying states, such as errors of theoretical consumed electric energy, verification state prompt, electric meter information, possibility of abnormal electricity utilization and the like. Preferably, the display unit may be implemented with a liquid crystal display.

(9) Operation keyboard unit

The keyboard consists of a parameter setting key and a multifunctional key, wherein the parameter setting key is used for setting and inputting the system and comprises an input current correction value; the data reading has silent and light prompt; the abnormal electricity utilization has silent and light prompt; and setting a process threshold value for judging power utilization abnormity and the like.

(10) USB unit

The USB unit mainly includes two functions: firstly, reading on-site investigation data to a PC; and secondly, charging. When the on-site troubleshooting data are read to the PC, the memory is virtualized into a U disk, and a user only needs to copy the on-site troubleshooting data to the PC in a mode of operating the U disk.

(11) GPRS transmission unit

In order to make centralized meter reading of field workers more convenient, the device replaces the traditional manual centralized meter reading, a GPRS (General Packet Radio Service) transmission unit is added, and remote data exchange is carried out between the GPRS transmission unit of the device and a field concentrator or a main station.

(12) Watchdog protection unit

The watchdog protection unit is mainly used for monitoring the running state of the device in the embodiment of the invention in real time.

In a microcomputer system composed of a single chip microcomputer, because the work of the single chip microcomputer is often interfered by an external electromagnetic field, data confusion of various registers and memories can be caused, a program pointer is wrong and is not in a program area, a program instruction with a mistake is taken out and the like, the program can be trapped into a dead loop, the normal operation of the program is interrupted, a system controlled by the single chip microcomputer can not continue to work normally, the whole system can be trapped into a dead state, unpredictable results can be generated, the data confusion of an EEPROM can be caused, the erasing and writing life of the EEPROM is exhausted, and data can not be written into partial addresses, so that a chip specially used for monitoring the program operation state of the single chip microcomputer is generated due to the consideration of real-time monitoring of the operation state of the single chip microcomputer, and the chip is commonly called as a 'watchdog'.

The foregoing descriptions of specific exemplary embodiments of the present invention have been presented for purposes of illustration and description. It is not intended to limit the invention to the precise form disclosed, and obviously many modifications and variations are possible in light of the above teaching. The exemplary embodiments were chosen and described in order to explain certain principles of the invention and its practical application to enable one skilled in the art to make and use various exemplary embodiments of the invention and various alternatives and modifications as are suited to the particular use contemplated. It is intended that the scope of the invention be defined by the claims and their equivalents.

Claims (12)

1. An electricity abnormality checking method, comprising:

acquiring first user information of the to-be-detected electric meter stored by a main station, and reading power utilization information and second user information of the to-be-detected electric meter;

comparing the first user information with the second user information, and determining that abnormal power utilization occurs when the first user information is inconsistent with the second user information; and

when the first user information is consistent with the second user information, calculating a suspicion index of power utilization abnormality according to a preset suspicion index calculation method of power utilization abnormality and the power utilization information, judging whether the suspicion index of power utilization abnormality is larger than a preset threshold value or not, and when the suspicion index of power utilization abnormality is not larger than the preset threshold value, determining that no power utilization abnormality occurs,

wherein, the suspicion index of the electricity utilization abnormality comprises the following steps:

distributing corresponding index weight to each type of sub-information in the electricity utilization information, wherein the electricity utilization information comprises one or more types of event record sub-information, electric quantity sub-information, load sub-information and line loss sub-information;

judging whether each type of sub information in the electricity utilization information has corresponding electricity utilization abnormity suspicion data;

when one type of sub information has corresponding electricity abnormal suspicion data, adding preset increments corresponding to the electricity abnormal suspicion data to a preset electricity abnormal suspicion index, wherein the sum of the preset increments of the type of sub information is not more than the maximum index value corresponding to the index weight of the type of sub information.

2. The method of claim 1, wherein when the suspicion of electricity consumption index is greater than a preset threshold,

calculating the actual consumed electric quantity within a preset time after the outlet side of the ammeter to be detected is connected with a standard electronic load;

comparing the theoretical power consumption of the standard electronic load within the preset time with the actual power consumption;

and judging whether the power utilization abnormity occurs according to the comparison result.

3. The method of claim 1, wherein the event log sub-information comprises one or more of a voltage loss event, a full voltage loss event, a phase loss event, a current break event, a current loss event, a reverse phase sequence event, a reverse current flow event, a current imbalance event, a magnetic field disturbance event, a load switch malfunction event, and an open meter lid event;

when the electricity consumption information includes the event record sub-information, the determining whether each type of sub-information in the electricity consumption information has corresponding suspicion data of electricity consumption abnormality includes:

respectively acquiring the electricity utilization data at the starting moment and the electricity utilization data at the ending moment corresponding to each event in the event record sub-information, and determining corresponding power change values; when the power change value is larger than a preset power change value, determining that the electricity utilization abnormity suspicion data exists in the event; and/or

Respectively determining the occurrence time of each event in the event record sub-information, and determining the daily freezing electric quantity in a first preset time period, wherein the occurrence time of the event is positioned in the first preset time period; and when the difference value between two continuous day freezing electric quantities is larger than the preset freezing electric quantity difference value, determining that the electricity utilization abnormity suspicion data exists in the event.

4. The method according to claim 1, wherein when the electricity consumption information includes the electricity quantum information, the determining whether there is corresponding suspected electricity consumption data in each type of the electricity consumption information includes:

determining daily electricity quantity E of each day in second preset time period_iDetermining the average value AvgE of the daily electric quantity; when AvgE and E_iWhen the difference value between the current power utilization abnormality and the current power utilization abnormality is larger than a first preset difference value, determining that the electricity utilization abnormality suspicion data exists in the ith day; wherein i is 1,2,3 … n, and n is the number of days included in the second preset time period; and/or

Obtaining the daily historical electric quantity Eh of the secondary station in the second preset time period of the historical synchronization_iDetermining the average value AvgEh of the historical daily electric quantity; when AvgEh and daily electric quantity E_iWhen the difference value between the current power utilization abnormality and the current power utilization abnormality is larger than a second preset difference value, determining that the electricity utilization abnormality suspicion data exists in the ith day; wherein i is 1,2,3 … n, and n is the number of days included in the second preset time period; and/or

Determining average value AvgE of daily electricity quantity of sliding k days_jThe difference value between the average values of the daily electricity consumption of two adjacent sliding k days is larger than a third preset valueWhen the difference is positive, determining AvgE_jSuspected data of abnormal electricity utilization exist; wherein,j is the initial number of days of k days of slip, E_iThe daily electricity consumption corresponding to the ith day.

5. The method according to claim 1, wherein when the electricity consumption information includes load sub-information, the determining whether each type of sub-information in the electricity consumption information has corresponding suspicion data of electricity consumption abnormality includes:

determining load records of each load point, and determining that suspected electricity utilization data exists in the load point when the difference value between the voltage value of one load point and the rated voltage is larger than a preset voltage difference value; or

And determining load records of each load point, and determining that the load point has suspicion data of power utilization abnormality when the difference value between the current value and the rated current of one load point is larger than the preset current difference value.

6. The method according to claim 1, wherein when the power consumption information includes line loss sub-information, the determining whether there is corresponding suspicion data of power consumption abnormality for each type of sub-information in the power consumption information includes:

acquiring line loss abnormal distribution area identification in the line loss sub-information, and determining a corresponding line loss abnormal distribution area; and when the local metering point is positioned in one of the line loss abnormal areas, determining that the suspicion data of the electrical abnormality exists.

7. An electricity abnormality inspection device, characterized by comprising:

the information acquisition module is used for acquiring first user information of the to-be-detected electric meter stored by the main station and reading power utilization information and second user information of the to-be-detected electric meter;

the comparison checking module is used for comparing the first user information with the second user information, and when the first user information is inconsistent with the second user information, determining that abnormal power utilization occurs;

the calculation judgment module is used for calculating the electricity utilization abnormality suspicion index according to a preset electricity utilization abnormality suspicion index calculation method and the electricity utilization information and judging whether the electricity utilization abnormality suspicion index is larger than a preset threshold value or not; and

a judgment execution module for determining that no power utilization abnormality occurs when the suspected index of power utilization abnormality is not greater than a preset threshold value,

wherein, the calculation judging module comprises:

the distribution submodule is used for distributing corresponding index weight to each type of sub information in the electricity utilization information, and the electricity utilization information comprises one or more types of event record sub information, electric quantity sub information, load sub information and line loss sub information;

the judging submodule is used for judging whether each type of sub information in the electricity utilization information has corresponding electricity utilization abnormity suspicion data;

and the processing submodule is used for increasing preset increments corresponding to the electricity consumption abnormal suspected data for a preset electricity consumption abnormal suspected index when corresponding electricity consumption abnormal suspected data exists in one type of sub information, and the sum of the preset increments of the type of sub information is not more than the maximum index value corresponding to the index weight of the type of sub information.

8. The apparatus of claim 7, wherein when the suspicion of power consumption is greater than a preset threshold, the apparatus further comprises:

the electric quantity calculation module is used for calculating the actual electric quantity consumed within a preset time after the outlet side of the electric meter to be detected is connected with the standard electronic load;

the electric quantity comparison module is used for comparing the theoretical electric quantity consumed by the standard electronic load within the preset time with the actual electric quantity consumed by the standard electronic load;

and the abnormity judgment module is used for judging whether the electricity utilization abnormity occurs according to the comparison result.

9. The apparatus of claim 7, wherein the event log sub-information comprises one or more of a voltage loss event, a full voltage loss event, a phase loss event, a current break event, a current loss event, a reverse phase sequence event, a reverse current flow event, a current imbalance event, a magnetic field disturbance event, a load switch malfunction event, and an open meter lid event;

when the electricity consumption information includes the event record sub-information, the judgment sub-module is configured to:

respectively acquiring the electricity utilization data at the starting moment and the electricity utilization data at the ending moment corresponding to each event in the event record sub-information, and determining corresponding power change values; when the power change value is larger than a preset power change value, determining that the electricity utilization abnormity suspicion data exists in the event; and/or

Respectively determining the occurrence time of each event in the event record sub-information, and determining the daily freezing electric quantity in a first preset time period, wherein the occurrence time of the event is positioned in the first preset time period; and when the difference value between two continuous day freezing electric quantities is larger than the preset freezing electric quantity difference value, determining that the electricity utilization abnormity suspicion data exists in the event.

10. The apparatus of claim 7, wherein when the electricity usage information includes the electrical quantum information, the determining sub-module is configured to:

determining daily electricity quantity E of each day in second preset time period_iDetermining the average value AvgE of the daily electric quantity; when AvgE and E_iWhen the difference value between the current power utilization abnormality and the current power utilization abnormality is larger than a first preset difference value, determining that the electricity utilization abnormality suspicion data exists in the ith day; wherein i is 1,2,3 … n, and n is the number of days included in the second preset time period; and/or

Obtaining the daily historical electric quantity Eh of the secondary station in the second preset time period of the historical synchronization_iDetermining the average value AvgEh of the historical daily electric quantity; when AvgEh and daily electric quantity E_iWhen the difference value between the current power utilization abnormality and the current power utilization abnormality is larger than a second preset difference value, determining that the electricity utilization abnormality suspicion data exists in the ith day; wherein i ═1,2,3 … n, n being the number of days comprised in the second predetermined period of time; and/or

Determining average value AvgE of daily electricity quantity of sliding k days_jWhen the difference value between the average values of the daily electricity consumption of two adjacent sliding k days is larger than a third preset difference value, determining the AvgE_jSuspected data of abnormal electricity utilization exist; wherein,j is the initial number of days of k days of slip, E_iThe daily electricity consumption corresponding to the ith day.

11. The apparatus of claim 7, wherein when the power consumption information comprises load sub-information, the determining sub-module is configured to:

determining load records of each load point, and determining that suspected electricity utilization data exists in the load point when the difference value between the voltage value of one load point and the rated voltage is larger than a preset voltage difference value; or

And determining load records of each load point, and determining that the load point has suspicion data of power utilization abnormality when the difference value between the current value and the rated current of one load point is larger than the preset current difference value.

12. The apparatus of claim 7, wherein when the power consumption information comprises line loss sub-information, the determining sub-module is configured to:

acquiring line loss abnormal distribution area identification in the line loss sub-information, and determining a corresponding line loss abnormal distribution area; and when the local metering point is positioned in one of the line loss abnormal areas, determining that the suspicion data of the electrical abnormality exists.