CN115951297A - Method and system for identifying abnormal data acquisition state of user ammeter - Google Patents
Method and system for identifying abnormal data acquisition state of user ammeter Download PDFInfo
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Abstract
The invention relates to the technical field of electric power data identification, and discloses a method and a system for identifying abnormal data acquisition states of user electric meters.
Description
Technical Field
The invention relates to the technical field of electric power data identification, in particular to a method and a system for identifying abnormal data acquisition states of a user ammeter.
Background
With the continuous deepening of the electric power marketization reformation in China, the electric energy trading market system is gradually expanded in China, the electric power commodity value and the supply-demand relation are fully reflected, and the electric power marketization system has important significance for guiding market main bodies to participate in demand response and promoting the optimal allocation of electric power resources.
The spot transaction is carried out in a day-ahead, in-day and real-time mode, mainly adopts the mode that the generation side reports the price in sections and the user side reports the price, the supply and demand parties report the generation price curve and the power demand curve in 96 periods of the operation day respectively at the time interval of 15 minutes, and the clear power price is discharged in a mode of concentrated competition and unified clearing in the field.
At present, the retail market settles in a 'day-to-month settlement' mode, and as trading users have higher requirements on timeliness and integrity of electric power metering data, the operating state of electric energy metering equipment of the trading users needs to be monitored, and abnormality can be found and analyzed and processed in time.
The electric energy metering equipment of the marketized trading user is based on an Advanced Metering Infrastructure (AMI), collects meter data and voltage data of the intelligent electric meter once every 15 minutes, and monitors a collection terminal, such as the online rate, the running state and the like.
Due to the fact that requirements on settlement timeliness of electric charges of users in electric power marketization transaction are extremely high, data of the user metering intelligent electric meter needs to be accurately and efficiently collected. At present, the system only judges abnormality through alarm information sent from a collection terminal: the method has the advantages that the number of the online meter codes of the terminal is short, the electric quantity of the main meter and the auxiliary meter is unequal, the meter clock is abnormal, the meter codes of the double terminals are different, the data of the meter codes are jumped, and only after the terminal is powered back, the alarm information can be sent, so that the timeliness of the data acquisition state identification of the user ammeter is low, the abnormality analysis is not accurate enough, and the method cannot powerfully support the operation and the overhaul of field operation maintenance personnel.
Disclosure of Invention
The invention provides a method and a system for identifying the abnormity of a data acquisition state of a user electric meter, and solves the technical problems that the timeliness of the identification of the data acquisition state of the user electric meter is low and the abnormity analysis is not accurate enough.
In view of this, the first aspect of the present invention provides a method for identifying an abnormal data collection status of a user electric meter, including the following steps:
s1, acquiring the working state of a user electric meter, and screening out the user electric meter with the working state being in a running state;
s2, judging whether the user electric meter screened out in the step S1 passes the acceptance of the metering automation system, if so, acquiring load curve data of the user electric meter, and if not, acquiring real-time load data of the user electric meter;
s3, judging whether the user electric meter is lack of number or not according to the load curve data or the real-time load data, and executing the step S4 if the user electric meter is determined to be lack of number; if the number is judged to be not missing, returning to the step S1;
s4, obtaining the metering point type of the user electric meter, wherein the metering point type comprises a single meter single terminal, a single meter double terminal, a double meter single terminal and a double meter double terminal;
s5, judging whether the number lack of the user electric meter is abnormal or not according to the type of the metering point, and if the number lack of the user electric meter is judged to be abnormal, acquiring voltage grade information and load voltage data of the user electric meter;
s6, judging whether the user electric meter is in voltage loss or not according to the voltage grade information and the load voltage data of the user electric meter, and if the user electric meter is judged to be in voltage loss, sending an abnormal prompt of the data acquisition state of the user electric meter.
Preferably, step S2 specifically includes:
the method comprises the steps of obtaining forward active total data item integrity rate of a user electric meter screened out in the step S1 based on a metering automation system, judging whether the forward active total data item integrity rate is larger than a preset integrity rate threshold value or not, if yes, obtaining load curve data of the user electric meter, and if not, obtaining real-time load data of the user electric meter.
Preferably, step S3 specifically includes:
judging whether the load curve data or the real-time load data in the current time period is greater than 0, if so, judging whether the load curve data or the real-time load data in the current time period is greater than 0, returning to the step S1, and if not, judging whether the load curve data or the real-time load data in the current time period is greater than 0, judging that the corresponding time period is short, and executing the step S4.
Preferably, step S5 specifically includes:
acquiring the priority of the user terminal and the priority of the user electric meter corresponding to each user terminal according to the metering point type;
and sequentially detecting whether the number shortage of the user electric meters is abnormal or not according to the priority of the user terminal and the priority of the user electric meters corresponding to each user terminal, and if the number shortage of the user electric meters is judged to be abnormal, matching corresponding voltage grade information and load voltage data in a preset database according to the serial numbers of the user electric meters.
Preferably, step S6 specifically includes:
calculating a transient voltage ratio by the following formula according to the voltage level information of the user electricity meter and the load voltage data,
in the formula, Δ U represents the transient voltage ratio, U n Denotes the load voltage value at the nth sampling point, N =1,2,3 0 Represents a voltage level;
and judging whether the transient voltage ratio is smaller than a preset voltage threshold value, if so, judging that the user ammeter is in voltage loss, and sending an abnormal prompt of the data acquisition state of the user ammeter.
Preferably, the method further comprises:
and matching the database information to obtain the user metering point position of the transaction user.
Preferably, step S6 is followed by:
and generating an abnormal analysis report according to the abnormal prompt of the data acquisition state of the user ammeter.
In a second aspect, the present invention provides a system for identifying abnormal data collection status of a user electricity meter, including:
the ammeter screening module is used for acquiring the working state of the user ammeter and screening the user ammeter with the working state being the running state;
the first judgment module is used for judging whether the screened user electric meters pass the acceptance of the metering automation system or not, acquiring load curve data of the user electric meters if the screened user electric meters pass the acceptance, and acquiring real-time load data of the user electric meters if the screened user electric meters do not pass the acceptance;
the second judging module is used for judging whether the user electric meter is short of numbers according to the load curve data or the real-time load data;
the type acquisition module is used for acquiring the metering point types of the user electric meter, wherein the metering point types comprise a single meter single terminal, a single meter double terminal, a double meter single terminal and a double meter double terminal;
the third judging module is used for judging whether the number of the user ammeter is abnormal according to the type of the metering point, and if the number of the user ammeter is judged to be abnormal, acquiring voltage grade information and load voltage data of the user ammeter;
and the abnormity identification module is used for judging whether the user electric meter is in voltage loss or not according to the voltage grade information and the load voltage data of the user electric meter, and if the user electric meter is judged to be in voltage loss, sending an abnormity prompt of the data acquisition state of the user electric meter.
According to the technical scheme, the invention has the following advantages:
according to the method, the user electric meters in the operating state are screened out, whether the corresponding user electric meters pass the checking acceptance of the metering automation system is judged, if the user electric meters pass the checking acceptance, the load curve data of the user electric meters are obtained, if the user electric meters do not pass the checking acceptance, the real-time load data of the user electric meters are obtained, whether the user electric meters lack number is judged according to the real-time load data, whether the lack number of the user electric meters is abnormal is judged according to the user electric meters, if the lack number of the user electric meters is abnormal, the voltage grade information and the load voltage data of the user electric meters are obtained, whether the user electric meters lose voltage is judged according to the voltage grade information and the load voltage data, and if the user electric meters lose voltage is judged, the abnormal prompt of the data acquisition state of the user electric meters is sent, so that the identification timeliness of the data acquisition state of the user electric meters is improved, and the accuracy of abnormal analysis is improved.
Drawings
Fig. 1 is a flowchart of a method for identifying an abnormal data collection state of a user electricity meter according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a system for identifying an abnormality in a data collection state of a user electricity meter according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. 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.
For convenience of understanding, referring to fig. 1, the method for identifying the abnormal data collection state of the user electricity meter according to the present invention includes the following steps:
s1, obtaining the working state of the user electric meter, and screening out the user electric meter with the working state being the running state.
The working states of the user electric meters in the transformer area comprise a running state and a stopping state, and in order to improve the abnormity identification efficiency, the user electric meters with the working states in the running state are screened out.
And S2, judging whether the user electric meter screened in the step S1 passes the acceptance of the metering automation system, if so, acquiring load curve data of the user electric meter, and if not, acquiring real-time load data of the user electric meter.
S3, judging whether the user electric meter is lack of number or not according to the load curve data or the real-time load data, and executing the step S4 if the user electric meter is determined to be lack of number; if the number is judged to be not missing, returning to the step S1;
s4, obtaining the metering point type of the user electric meter, wherein the metering point type comprises a single meter single terminal, a single meter double terminal, a double meter single terminal and a double meter double terminal;
the system ensures that the electric quantity data of market trading users are efficiently and accurately acquired, and divides the electric energy meter of the user into 4 metering point types according to the specific electricity utilization condition of the user:
single-form single-terminal: the user comprises an electric energy meter and an acquisition terminal, wherein the terminal only acquires the meter;
single-meter double-terminal: the system comprises a user, an electric energy meter and two acquisition terminals, wherein the two terminals only acquire the electric energy meter;
double-meter single terminal: the system comprises two electric energy meters (a main meter and an auxiliary meter) of a user and an acquisition terminal, wherein the terminal only acquires the two meters;
double-meter double-terminal: the system comprises two electric energy meters (a main meter and an auxiliary meter) of a user and two acquisition terminals (the main terminal and the auxiliary terminal), wherein each terminal acquires meter codes of the two meters.
In one example, the user with the missing number or abnormal data is judged according to the step S4, the user information of the part is extracted, and the metering point type of the part of users is obtained.
S5, judging whether the number lack of the user electric meter is abnormal or not according to the type of the metering point, and if the number lack of the user electric meter is judged to be abnormal, acquiring voltage grade information and load voltage data of the user electric meter;
and S6, judging whether the user electric meter is in voltage loss or not according to the voltage grade information and the load voltage data of the user electric meter, and if the user electric meter is judged to be in voltage loss, sending an abnormal prompt of the data acquisition state of the user electric meter.
According to the method, the user electric meters in the operating state are screened out, whether the corresponding user electric meters pass the checking acceptance of the metering automation system is judged, if the user electric meters pass the checking acceptance, the load curve data of the user electric meters are obtained, if the user electric meters do not pass the checking acceptance, the real-time load data of the user electric meters are obtained, whether the user electric meters lack number is judged according to the real-time load data, whether the lack number of the user electric meters is abnormal is judged according to the user electric meters, if the lack number of the user electric meters is abnormal, the voltage grade information and the load voltage data of the user electric meters are obtained, whether the user electric meters lose voltage is judged according to the voltage grade information and the load voltage data, and if the user electric meters lose voltage is judged, the abnormal prompt of the data acquisition state of the user electric meters is sent, so that the identification timeliness of the data acquisition state of the user electric meters is improved, and the accuracy of abnormal analysis is improved.
In a specific embodiment, step S2 specifically includes:
and (2) acquiring the integrity of the forward active total data items of the user electric meter screened in the step (S1) based on the metering automation system, judging whether the integrity of the forward active total data items is greater than a preset integrity threshold, if so, acquiring load curve data of the user electric meter, and if not, acquiring real-time load data of the user electric meter.
In one example, if more than two user electric meters exist, meter data of the more than two user electric meters are combined, and forward active total data item integrity rate is collected in a combined mode.
Wherein, the load curve data is the data stored in the electric energy meter, and the data of the meter data is automatically stored in the electric energy meter at intervals of 15 minutes. And the terminal executes a data acquisition task, reads the stored data of the electric energy meter and sends the data to the system main station. The load curve data can be traced, and the terminal can be collected for a plurality of times without being collected successfully.
The real-time load data of the electric meter is that the terminal executes a timing task, collects the real-time meter code of the electric energy meter every 15 minutes and uploads the data to the system main station. The real-time load data is not traceable, cannot be acquired after being successfully acquired, and cannot be compensated for in the case of data shortage.
In a specific embodiment, step S3 specifically includes:
and judging whether the load curve data or the real-time load data in the current time period is greater than 0, if so, judging that the load curve data or the real-time load data in the current time period is not greater than 0, returning to the step S1, and if not, judging that the load curve data or the real-time load data in the current time period is not greater than 0, judging that the corresponding time period is not greater, and executing the step S4.
Acquiring electric meter data from a database, taking the current time as T, analyzing whether the table code data of the previous N hours has abnormality or not, traversing the data from T-N at intervals of 15 minutes, judging whether Tn + i > = Tn0 and Tn0 ≠ 0 due to the fact that the table code has unidirectionality, and traversing from i =0 to i = N, wherein i represents the time and N represents the total time.
In one example, the data of the previous N hours of table codes is judged to be abnormal, the abnormal condition is a missing number condition, and the terminal state is obtained in the database according to the user number.
In a specific embodiment, step S5 specifically includes:
s501, acquiring the priority of the user terminal and the priority of the user electric meter corresponding to each user terminal according to the metering point type.
S502, sequentially detecting whether the number shortage of the user electric meters is abnormal or not according to the priority of the user terminal and the priority of the user electric meter corresponding to each user terminal, and if the number shortage of the user electric meters is judged to be abnormal, matching corresponding voltage grade information and load voltage data in a preset database according to the number of the user electric meters.
If the metering point type is a single meter and single terminal, namely the user end is provided with one electric energy meter and one acquisition terminal, the terminal only detects whether the lack condition of the electric energy meter is abnormal or not;
if the metering point type is a double-meter single-terminal type, namely the user end is provided with two electric energy meters (a main meter and an auxiliary meter) and an acquisition terminal, the terminal detects whether the lack conditions of the main meter and the auxiliary meter are abnormal or not in sequence;
if the metering point type is double-meter double-terminal, that is, the user end is provided with two electric energy meters (a main meter and an auxiliary meter) and two acquisition terminals (a main terminal and an auxiliary terminal), each terminal acquires the meter codes of the two meters, and specifically, whether the lack conditions of the main meter of the main terminal, the main meter of the auxiliary terminal, the auxiliary meter of the main terminal and the auxiliary meter of the auxiliary terminal are abnormal or not is detected in sequence.
And when the data is abnormal, matching corresponding voltage grade information and load voltage data in the database according to the user number and the ammeter number. The database comprises mapping relations between user numbers and voltage level information and load voltage data respectively, and mapping relations between ammeter numbers and voltage level information and load voltage data respectively.
In a specific embodiment, step S6 specifically includes:
s601, calculating the transient voltage ratio according to the voltage grade information of the user ammeter and the load voltage data by the following formula,
in the formula, Δ U represents the transient voltage ratio, U n Denotes the load voltage value at the nth sampling point, N =1,2,3 0 Representing a voltage level;
s602, judging whether the transient voltage ratio is smaller than a preset voltage threshold value, if so, judging that the user ammeter is out of voltage, and sending an abnormal prompt of the data acquisition state of the user ammeter.
In one embodiment, the method further comprises:
and matching the database information to obtain the user metering point position of the transaction user.
It can be understood that, by acquiring the user metering point position of the transaction user, the corresponding position can be conveniently and quickly found, so that the operation and maintenance personnel can quickly arrive at the site for operation and maintenance.
In a specific embodiment, step S6 is followed by:
and generating an abnormal analysis report according to the abnormal prompt of the data acquisition state of the user ammeter.
The foregoing is a detailed description of an embodiment of a method for identifying an abnormality of a data collection status of a user electricity meter according to the present invention, and the following is a detailed description of an embodiment of a system for identifying an abnormality of a data collection status of a user electricity meter according to the present invention.
For easy understanding, please refer to fig. 2, the present invention provides a system for identifying abnormal data collection status of a user electricity meter, comprising:
the ammeter screening module 100 is used for acquiring the working state of the user ammeter and screening the user ammeter in a running state;
the first judging module 200 is used for judging whether the screened user electric meter passes the acceptance of the metering automation system, if the screened user electric meter passes the acceptance, acquiring load curve data of the user electric meter, and if the screened user electric meter does not pass the acceptance, acquiring real-time load data of the user electric meter;
the second judging module 300 is configured to judge whether the user electric meter is short of number according to the load curve data or the real-time load data;
the type obtaining module 400 is used for obtaining the metering point types of the user electric meter, wherein the metering point types comprise a single meter single terminal, a single meter double terminal, a double meter single terminal and a double meter double terminal;
a third determining module 500, configured to determine whether the number of the user electric meter is abnormal according to the metering point type, and if it is determined that the number of the user electric meter is abnormal, obtain voltage level information and load voltage data of the user electric meter;
and the abnormity identification module 600 is used for judging whether the user electric meter is in voltage loss according to the voltage grade information of the user electric meter and the load voltage data, and if the user electric meter is judged to be in voltage loss, sending an abnormity prompt of the data acquisition state of the user electric meter.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit may be implemented in the form of hardware, or may also be implemented in the form of a software functional unit.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (8)
1. A method for identifying abnormal data acquisition state of a user electric meter is characterized by comprising the following steps:
s1, acquiring the working state of a user electric meter, and screening out the user electric meter with the working state being in a running state;
s2, judging whether the user electric meter screened out in the step S1 passes the acceptance of the metering automation system, if so, acquiring load curve data of the user electric meter, and if not, acquiring real-time load data of the user electric meter;
s3, judging whether the user electric meter is lack of number or not according to the load curve data or the real-time load data, and executing the step S4 if the user electric meter is determined to be lack of number; if the number is judged to be not missing, returning to the step S1;
s4, obtaining the metering point type of the user electric meter, wherein the metering point type comprises a single meter single terminal, a single meter double terminal, a double meter single terminal and a double meter double terminal;
s5, judging whether the number lack of the user electric meter is abnormal or not according to the type of the metering point, and if the number lack of the user electric meter is judged to be abnormal, acquiring voltage grade information and load voltage data of the user electric meter;
and S6, judging whether the user electric meter is in voltage loss or not according to the voltage grade information and the load voltage data of the user electric meter, and if the user electric meter is judged to be in voltage loss, sending an abnormal prompt of the data acquisition state of the user electric meter.
2. The method for identifying the abnormal data collection state of the consumer electricity meter according to claim 1, wherein the step S2 specifically comprises:
the method comprises the steps of obtaining forward active total data item integrity rate of a user electric meter screened out in the step S1 based on a metering automation system, judging whether the forward active total data item integrity rate is larger than a preset integrity rate threshold value or not, if yes, obtaining load curve data of the user electric meter, and if not, obtaining real-time load data of the user electric meter.
3. The method for identifying the abnormal data collection state of the consumer electricity meter according to claim 1, wherein the step S3 specifically comprises:
judging whether the load curve data or the real-time load data in the current time period is greater than 0, if so, judging that the load curve data or the real-time load data in the current time period is not greater than 0, returning to the step S1, and if not, judging that the load curve data or the real-time load data in the current time period is not greater than 0, judging that the corresponding time period is not greater than 0, and executing the step S4.
4. The method for identifying the abnormal data collection state of the consumer electricity meter according to claim 1, wherein the step S5 specifically comprises:
acquiring the priority of the user terminal and the priority of the user electric meter corresponding to each user terminal according to the metering point type;
and sequentially detecting whether the number shortage of the user electric meters is abnormal or not according to the priority of the user terminal and the priority of the user electric meters corresponding to each user terminal, and if the number shortage of the user electric meters is judged to be abnormal, matching corresponding voltage grade information and load voltage data in a preset database according to the serial numbers of the user electric meters.
5. The method for identifying the abnormal data collection state of the user electric meter according to claim 1, wherein the step S6 specifically comprises:
calculating a transient voltage ratio by the following formula according to the voltage level information of the user electricity meter and the load voltage data,
in the formula, Δ U represents the transient voltage ratio, U n Denotes the load voltage value at the nth sampling point, N =1,2,3 0 Representing a voltage level;
and judging whether the transient voltage ratio is smaller than a preset voltage threshold value or not, if so, judging that the user ammeter is under voltage loss, and sending an abnormal prompt of a data acquisition state of the user ammeter.
6. The method for identifying the abnormal data collection state of the user electric meter according to claim 1, further comprising:
and matching the database information to obtain the user metering point position of the transaction user.
7. The method for identifying the abnormal data collection state of the user electric meter according to claim 1, wherein the step S6 is followed by the steps of:
and generating an abnormal analysis report according to the abnormal prompt of the data acquisition state of the user ammeter.
8. A user electricity meter data acquisition state abnormity identification system is characterized by comprising:
the ammeter screening module is used for acquiring the working state of the user ammeter and screening the user ammeter with the working state being the running state;
the first judgment module is used for judging whether the screened user electric meters pass the acceptance of the metering automation system or not, acquiring load curve data of the user electric meters if the screened user electric meters pass the acceptance, and acquiring real-time load data of the user electric meters if the screened user electric meters do not pass the acceptance;
the second judgment module is used for judging whether the user electric meter is short of the number according to the load curve data or the real-time load data;
the type acquisition module is used for acquiring the metering point types of the user electric meter, wherein the metering point types comprise a single meter single terminal, a single meter double terminal, a double meter single terminal and a double meter double terminal;
the third judging module is used for judging whether the number of the user ammeter is abnormal according to the type of the metering point, and if the number of the user ammeter is judged to be abnormal, acquiring voltage grade information and load voltage data of the user ammeter;
and the abnormity identification module is used for judging whether the user ammeter is in voltage loss or not according to the voltage grade information and the load voltage data of the user ammeter, and if the user ammeter is judged to be in voltage loss, sending an abnormity prompt of a data acquisition state of the user ammeter.
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