CN116400291A - Method, device, equipment and storage medium for detecting total meter - Google Patents
Method, device, equipment and storage medium for detecting total meter Download PDFInfo
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Abstract
The invention discloses a method, a device, equipment and a storage medium for detecting total surface metering, wherein the method comprises the following steps: collecting operation data of a designated station area, wherein transformers in the station area are configured with a total table, and the operation data comprise current values and line loss rates; the operation data is cleaned under at least one dimension of the transformer area, the transformer and the summary table, interference is removed, the quality of the operation data is improved, and therefore the reliability of fault detection is improved; if the cleaning treatment is finished, the fault class is divided into the total table according to the current value in the first time period; generating a fault identifier for the summary table in a first time period according to the line loss rate in a second time period, wherein the fault identifier indicates whether the summary table has faults or not, and the second time period is divided into a plurality of first time periods; the method comprises the steps of combining fault categories and fault identifications to determine metering states of a total table in a first time period. According to the method and the device for detecting the fault of the total current loop of the transformer area, the change condition of the current value and the condition of the line loss rate of the transformer area are subjected to association calculation, the fault condition of the total current loop of the transformer area is judged, the accuracy of fault detection can be effectively improved, the availability is high, the calculation is simple and convenient, the understanding and the grasp are easy, the occupied calculation resources are few, and the integration into a power system is easier.
Description
Technical Field
The invention relates to the technical field of power grids, in particular to a method, a device, equipment and a storage medium for detecting total meter.
Background
The remote monitoring method for the faults of the current metering summary table mainly comprises two methods, namely a warning function of the metering summary table and a data diagnosis technology, wherein the two methods mainly comprise preset setting rules for judging whether voltage and current accord with the rules or not, so that the faults are diagnosed and judged.
However, these rules are relatively fixed, and the situation of the area is changed in real time, so that certain deviation exists between the rules and the actual situation, resulting in lower accuracy of fault discrimination.
Disclosure of Invention
The invention provides a total meter measurement detection method, a total meter measurement detection device, total meter measurement detection equipment and a storage medium, and aims to solve the problem of how to improve the accuracy of fault judgment of a total meter measurement of a transformer in a public transformer area.
According to an aspect of the present invention, there is provided a total surface measurement detection method including:
collecting operation data of a designated station area, wherein transformers in the station area are configured with a total table, and the operation data comprise current values and line loss rates;
Cleaning the operation data under at least one dimension of the transformer area, the transformer and the summary table;
if the cleaning process is completed, classifying fault types of the total table according to the current value in the first time period;
generating a fault identifier for the summary table in the first time period according to the line loss rate in a second time period, wherein the fault identifier indicates whether the summary table is faulty or not, and the second time period is divided into a plurality of first time periods;
and determining the metering state of the total table in the first time period by combining the fault category and the fault identification.
Optionally, the cleaning the operation data in at least one dimension among the transformer area, the transformer and the headquarter includes:
inquiring the reason of the abnormal line loss rate of the transformer in the second time period;
if the factor is the light load of the transformer, eliminating the operation data related to the light load;
inquiring the power supply state of the transformer;
if the power supply state comprises a ring network transfer power supply switch, eliminating the operation data related to the ring network transfer power supply;
Inquiring the using state of the summary table in the second time period;
if the use state is replacement, rejecting the operation data related to the replacement of the summary table;
querying the data state of the summary table in the second time period;
and if the data state comprises at least one of a voltage value and a current value which is 0, rejecting the operation data when at least one of the voltage value and the current value is 0.
Optionally, the classifying the fault class according to the current value in the first time period includes:
counting the total number of sampling points for collecting the current value in a first time period;
identifying the current value at an anomaly in a certain phase;
counting a first number of the current values in abnormality during the first time period;
counting a first duty cycle of the first number in the total number during the same first time period;
if the first duty ratio is greater than or equal to a preset first proportional threshold, determining that the fault class of the total table is virtual connection of a current loop;
counting a second number of the collected at least one phase of the current values during the first time period;
Counting a second duty cycle of the second number in the total number during the same first time period;
and if the second duty ratio is smaller than or equal to a preset second proportion threshold value, determining that the fault type of the total table is short circuit of the current loop.
Optionally, the identifying the current value at an anomaly in a certain phase includes:
if the current value of any phase is empty, determining that the current value is abnormal;
calculating an average value of the current values over a second time period for each phase of the current values;
taking a specified proportion from the absolute value of the average value as an abnormal threshold value;
and if the absolute value of the current value of any phase is smaller than or equal to the corresponding abnormal threshold value, determining that the current value is abnormal.
Optionally, the generating the fault identifier for the first time period according to the line loss rate in the second time period includes:
inquiring the change state of the line loss rate of the transformer in each first time period represented in a second time period;
if the change state is that the line loss rate of the transformer in each first time period tends to be stable in a second time period and belongs to positive line loss, searching the line loss rate of the transformer, which is suddenly changed relative to the change state in the first time period;
If found, generating a fault identification representing the occurrence of a fault for the first time period for the summary table.
Optionally, the searching the transformer for the line loss rate that suddenly changes relative to the change state in the first time period includes:
comparing the line loss rate of the transformer in each first time period with a preset line loss threshold, wherein the line loss threshold is a negative number;
inquiring the attribute of the line loss rate of the transformer in each first time period;
and if the line loss rate of the transformer in a certain first time period is smaller than the line loss threshold and the attribute is negative line loss, determining that the line loss rate of the transformer in the first time period is suddenly changed relative to the change state.
Optionally, the determining the metering state of the summary table in the first time period by combining the fault category and the fault identification includes:
if the fault type is a virtual connection of a current loop and the fault identifier indicates that the summary table has faults, respectively inquiring the first time period where the virtual connection of the current loop is located as a first time range, and inquiring the first time period where the fault identifier is located as a second time range;
If the first time range is the same as the second time range, determining that the metering state of the total table is short-time current loop virtual connection;
if the fault type is short circuit of the current loop and the fault identification indicates that the total table has faults, respectively inquiring the first time period and the fourth time period where the short circuit of the current loop is located as a third time range, and inquiring the first time period and the fourth time range where the fault identification is located;
and if the third time range is the same as the fourth time range, determining that the metering state of the total table is short-circuited in the short-time current loop.
According to another aspect of the present invention, there is provided a total surface measurement detection apparatus comprising:
the system comprises an operation data acquisition module, a control module and a control module, wherein the operation data acquisition module is used for acquiring operation data for a designated transformer area, the transformers in the transformer area are configured with a total table, and the operation data comprise a current value and a line loss rate;
the data cleaning module is used for cleaning the operation data under at least one dimension of the transformer area, the transformer and the summary list;
the fault category classification module is used for classifying fault categories to the summary table according to the current value in the first time period if the cleaning process is completed;
The fault identification generation module is used for generating a fault identification for the summary table in the first time period according to the line loss rate in a second time period, wherein the fault identification represents whether the summary table is faulty or not, and the second time period is divided into a plurality of first time periods;
and the metering state determining module is used for determining the metering state of the total table in the first time period by combining the fault category and the fault identification.
Optionally, the data cleansing module includes:
the light load rejection module is used for inquiring the reasons of the abnormal line loss rate of the transformer in the second time period; if the factor is the light load of the transformer, eliminating the operation data related to the light load;
the power conversion rejection module is used for inquiring the power supply state of the transformer; if the power supply state comprises a ring network transfer power supply switch, eliminating the operation data related to the ring network transfer power supply;
the replacement and rejection module is used for inquiring the use state of the summary list in the second time period; if the use state is replacement, rejecting the operation data related to the replacement of the summary table;
The null value eliminating module is used for inquiring the data state of the summary table in the second time period; and if the data state comprises at least one of a voltage value and a current value which is 0, rejecting the operation data when at least one of the voltage value and the current value is 0.
Optionally, the fault classification module includes:
the total number counting module is used for counting the total number of sampling points for collecting the current value in a first time period;
an abnormal current value identification module for identifying the current value in abnormality under a certain phase;
a first quantity counting module, configured to count, in the first time period, a first quantity of the current values that are abnormal;
a first duty ratio statistics module, configured to, in the same first time period, count a first duty ratio of the first number in the total number;
the current loop virtual connection determining module is used for determining that the fault type of the total table is the current loop virtual connection if the first duty ratio is larger than or equal to a preset first ratio threshold value;
a second number statistics module, configured to count, during the first time period, a second number of the collected current values of at least one phase;
A second duty ratio statistics module, configured to, in the same first time period, count a second duty ratio of the second number in the total number;
and the current loop short circuit determining module is used for determining that the fault type of the total table is the current loop short circuit if the second duty ratio is smaller than or equal to a preset second proportion threshold value.
Optionally, the abnormal current value identification module includes:
the null value abnormality determination module is used for determining that the current value is abnormal if the current value of any phase is null;
a current average calculation module for calculating an average of the current values over a second time period for each phase of the current values;
the abnormal threshold generating module is used for taking a specified proportion from the absolute value of the average value as an abnormal threshold;
and the threshold value abnormality determining module is used for determining that the current value is abnormal if the absolute value of the current value of any phase is smaller than or equal to the corresponding abnormality threshold value.
Optionally, the fault identification generation module includes:
the change state query module is used for querying the change state of the line loss rate of the transformer in each first time period represented in a second time period;
The abrupt change searching module is used for searching the line loss rate of the transformer abrupt change relative to the change state in the first time period if the change state is that the line loss rate of the transformer tends to be stable in the second time period and belongs to positive line loss;
and the fault identification configuration module is used for generating a fault identification representing the occurrence of faults for the first time period for the total table if the fault identification is found.
Optionally, the mutation searching module comprises:
the threshold comparison module is used for comparing the line loss rate of the transformer in each first time period with a preset line loss threshold, wherein the line loss threshold is a negative number;
the attribute query module is used for querying the attribute of the line loss rate of the transformer in each first time period;
the abrupt change determining module is configured to determine that the line loss rate of the transformer in the first time period is abrupt relative to the change state if the line loss rate of the transformer in some first time period is smaller than the line loss threshold and the attribute is negative line loss.
Optionally, the metering state determining module includes:
The first range determining module is configured to query the first time period in which the current loop virtual connection is located, as a first time range, and query the first time period in which the fault identifier is located, as a second time range, if the fault type is a current loop virtual connection and the fault identifier indicates that the summary table has a fault;
the current loop virtual connection marking module is used for determining that the metering state of the total table is short-time current loop virtual connection if the first time range is the same as the second time range;
the second range determining module is configured to query the first time period and the third time range where the short circuit of the current loop is located, and query the first time period and the fourth time range where the fault identifier is located, respectively, if the fault type is short circuit of the current loop and the fault identifier indicates that the summary table has a fault;
and the current loop short circuit marking module is used for determining that the metering state of the total table is short circuit of the short-time current loop if the third time range is the same as the fourth time range.
According to another aspect of the present invention, there is provided an electronic apparatus including:
At least one processor; and
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of total meter detection according to any of the embodiments of the invention.
According to another aspect of the present invention, there is provided a computer readable storage medium storing a computer program for causing a processor to implement the method for detecting total surface metering according to any one of the embodiments of the present invention when executed.
In this embodiment, operation data is collected for a designated transformer area, and transformers in the transformer area are configured with a total table, wherein the operation data includes a current value and a line loss rate; the operation data is cleaned under at least one dimension of the transformer area, the transformer and the summary table, interference is removed, the quality of the operation data is improved, and therefore the reliability of fault detection is improved; if the cleaning treatment is finished, the fault class is divided into the total table according to the current value in the first time period; generating a fault identifier for the summary table in a first time period according to the line loss rate in a second time period, wherein the fault identifier indicates whether the summary table has faults or not, and the second time period is divided into a plurality of first time periods; the method comprises the steps of combining fault categories and fault identifications to determine metering states of a total table in a first time period. According to the method and the device for detecting the fault of the total current loop of the transformer area, the change condition of the current value and the condition of the line loss rate of the transformer area are subjected to association calculation, the fault condition of the total current loop of the transformer area is judged, the accuracy of fault detection can be effectively improved, the availability is high, the calculation is simple and convenient, the understanding and the grasp are easy, the occupied calculation resources are few, and the integration into a power system is easier.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for detecting total surface metrics according to a first embodiment of the present invention;
FIG. 2 is a schematic structural diagram of a total surface measurement detection device according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device according to a third embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
Fig. 1 is a flowchart of a total meter detection method according to an embodiment of the present invention, where the method may be implemented by a total meter detection device, and the total meter detection device may be implemented in hardware and/or software, and the total meter detection device may be configured in an electronic device, where a line loss rate is considered to distinguish faults from a metering total meter of a transformer in a public transformer area. As shown in fig. 1, the method includes:
The power system is provided with a transformer area, the transformer area can be used for reducing the high-voltage power of the transformer substation to low-voltage power used by local and centralized industrial and commercial users, so that the users can fully utilize the power, high-low voltage conversion between a power outlet and a connector frame box can be completed, and distribution and comprehensive management of power supply lines are completed.
In the transformer area, transformer is set to transform high voltage electricity into low voltage electricity or vice versa, and the main structure is power generation end voltage regulating transformer, transforming frequency converting transformer. For providing sufficient energy for large users and for managing the distribution network.
The transformers in the transformer area are configured with a metering summary (summary) which is equipment for accurately calculating the energy consumption of the transformer, the metering terminal meter, the transformer and the secondary circuit faults directly cause the energy consumption calculation loss of the transformer, and also cause the line loss rate calculation misalignment of the public transformer area, and the correct and reasonable line loss rate of the public transformer area can assist a power supply enterprise to make intelligent decisions when carrying out line loss planning and making loss reduction measures.
In this embodiment, for a specified area, data generated when the area operates in the last period of time may be collected and recorded as operation data.
To facilitate statistics of the operation data, the present embodiment divides a plurality of second time periods (e.g., months), and divides each second time period (e.g., month) into a plurality of first time periods (e.g., days).
Illustratively, the operational data includes a current value, a voltage value, a line loss rate, a current collection time point, a current average value, a line loss assessment value, a supply power amount, a current fluctuation time, a line loss rate fluctuation time, and the like.
In this embodiment, the operation data is preprocessed in at least one dimension of the transformer, the transformer and the summary table, that is, the operation data is cleaned, and abnormal operation data in at least one dimension of the transformer, the transformer and the summary table, such as noise, irrelevant data, null values and the like, are removed, so that the availability of the operation data is improved, the quality of the operation data is improved, and the accuracy of judging the fault of the summary table is improved.
In one case, the cause of the transformer line loss rate anomaly during the second time period is queried.
If the reason is that the transformer is lightly loaded, and the minimum current value can influence the judgment of the total fault, the operation data related to the lightly loaded is removed, wherein the load capacity of the transformer comprises no load, lightly loaded, full load, overload and the like, the no load refers to no load, the lightly loaded refers to the current load power being less than 30% of the full load power, the heavy load refers to the current load power being more than 80% of the full load power, and the full load refers to the current load power being 100% of the full load power.
In another case, the power supply state of the transformer is queried.
If the power supply state comprises load cutting and ring network power supply, the operation data related to the load cutting and ring network power supply can be removed as the ring network power supply fluctuates the line loss rate.
In yet another case, the usage status of the summary table at the second time period is queried.
If the use state is replacement, the communication signal on the site is affected by the replacement of the summary table, and the acquired operation data may have a missing condition, the operation data related to the replacement of the summary table can be removed.
In yet another case, the data state of the summary table at the second time period is queried.
If the data state comprises at least one of the voltage value and the current value is 0, the operation data when the at least one of the voltage value and the current value is 0 is rejected.
Of course, the above-described cleaning process is merely an example, and other cleaning processes may be provided according to actual situations when the embodiment of the present invention is implemented, and the embodiment of the present invention is not limited thereto. In addition, in addition to the above-described cleaning process, those skilled in the art may employ other cleaning processes according to actual needs, which are not limited in this embodiment of the present invention.
For the operation data after the cleaning treatment, characteristic analysis can be carried out on the current value in the first time period, the current value in the first time period represents the real-time operation state of the transformer in the transformer area in the current relatively short time, the fault types of the total table are divided according to the real-time operation state, and the possible faults of the total table are identified.
In one embodiment of the present invention, step 103 may include the steps of:
step 1031, counting the total number of sampling points for sampling the current value during the first time period.
In this embodiment, the current values collected in the first time period may be arranged in time sequence to obtain the current sequence I n Each data in the current sequence of n=1, 2, … …, N may be recorded as a sampling point, and under the condition that the total surface communication signal of the transformer in the transformer area is normal and the collected current value is normal, the total number of the full-sample points may be counted, taking day as an example of the first time period, and collecting the current value every 15 minutes, where the total number of the sampling points is n=96.
Step 1032 identifies a current value that is abnormal in a certain phase.
In general, a total table of transformer areas acquires A, B, C three-phase current values, traverses the current values of each phase, and identifies an abnormal current value in a certain phase.
In a specific implementation, if either phase current value is null (i.e., I n =null), the current value abnormality can be determined.
For each phase of the current value, calculating an average value I of the current values over a second period of time Are all 。
The absolute value of the average value is taken as the anomaly threshold by a specified ratio λ (0 < λ < 100%, e.g. 50%).
If the absolute value of any one phase current value is less than or equal to the corresponding abnormality threshold (i.e. |I n |≤|I Are all
I.λ), the current value anomaly may be determined.
Of course, the above-described manner of identifying the abnormal current value is merely an example, and other manners of identifying the abnormal current value may be set according to actual situations when the embodiment of the present invention is implemented, which is not limited thereto. In addition to the above-described method for identifying abnormal current values, those skilled in the art may also use other methods for identifying abnormal current values according to actual needs, which are not limited in this embodiment of the present invention.
Step 1033, counting a first number of current values in an anomaly during a first time period.
Step 1034, counting a first duty cycle of the first number in the total number during the same first time period.
Step 1035, if the first duty ratio is greater than or equal to a preset first ratio threshold, determining that the fault class of the total table is virtual connection of the current loop.
In this embodiment, in each first time period, the first number of current values at abnormality may be counted, respectively. In the same first time period, a first duty cycle of the first number in the total number is counted and compared with a preset first ratio threshold (e.g. 24/96).
If the first duty ratio is greater than or equal to the first ratio threshold, which indicates that there are more abnormal current values in the first time period and the current is not stable, it may be determined that the fault type of the total table may be a virtual connection of the current loop.
Step 1036, counting a second number of the collected at least one phase current values during the first time period.
Step 1037, counting a second duty ratio of the second number in the total number in the same first time period.
Step 1038, if the second duty ratio is less than or equal to a preset second ratio threshold, determining that the fault class of the total table is short circuit of the current loop.
In this embodiment, A, B, C three-phase current values are collected for the total table of the transformer substation, and the second number of collected current values of at least one phase (i.e., any one phase or any two or three phases) is counted in each first time period. The first two-duty cycles of the second number in the total number are counted during the same first time period and the second duty cycles are compared with a preset second proportional threshold (e.g. 80/96).
If the second duty cycle is less than or equal to the second ratio threshold, indicating that there are fewer current values collected, it may be determined that the fault class of the total table may be a current loop short.
In this embodiment, the line loss rate in the second time period may represent a real-time running state of the transformer in the transformer area in the current relatively longer period, and the real-time running state may be used as a reference to generate a fault identifier for the summary table in the first time period, where the fault identifier indicates whether the summary table has a fault, and identifies a fault that may exist in the summary table.
In one embodiment of the present invention, step 104 may include the steps of:
Step 1041, querying a change state of the line loss rate of the transformer in each first time period represented in the second time period.
In this embodiment, for a predetermined second time period, the line loss rate of each first time period of the transformer in the second time period is traversed, so as to analyze the variation trend thereof.
For example, for the line loss rate of the first time period, the duty ratio of the line loss rate with a positive value (i.e., positive line loss) in the second time period within the preset line loss range may be counted, and if the duty ratio is greater than the preset trend threshold, it may be confirmed that the change state of the line loss rate of the transformer in each first time period, which is represented in the second time period, is that the line loss rate of the transformer in each first time period tends to be stable in the second time period and belongs to the positive line loss.
Step 1042, if the change status is that the line loss rate of the transformer in each first time period tends to be stable in the second time period and belongs to positive line loss, searching for the line loss rate of the transformer suddenly changed relative to the change status in the first time period.
If the change state of the line loss rate of the transformer in each first time period represented in the second time period is that the line loss rate of the transformer in each first time period tends to be stable and belongs to positive line loss in the second time period, the line loss rate of the transformer, which is suddenly changed (namely, the change amplitude is larger) relative to the change state in the first time period, is searched for in the second time period.
In a specific implementation, the line loss rate of the transformer in each first time period is compared with a preset line loss threshold, wherein the line loss threshold is a negative number, such as-10%.
Inquiring the attribute of the line loss rate of the transformer in each first time period;
if the line loss rate of the transformer in a certain first time period is smaller than the line loss threshold value and the attribute is negative line loss (namely negative value), determining that the line loss rate of the transformer in the first time period is suddenly changed relative to the change state.
Step 1043, if found, generating a fault identifier for the first time period for the summary table, wherein the fault identifier represents that a fault occurs.
When a line loss rate is found for the transformer that is abrupt with respect to the changing state for a first time period, a fault identification may be generated for the summary table that indicates that a fault occurred for the first time period.
In this embodiment, the fault category and the fault identifier are determined on the metering states of the total table in different dimensions, so that the information of the fault category and the fault identifier can be associated, and finally the metering states of the total table in the first time period can be determined, so as to determine whether the current loop has a fault.
In one case, if the fault type is a virtual connection of the current loop and the fault identifier indicates that the total table has faults, respectively querying a first time period in which the virtual connection of the current loop is located as a first time range, and querying a first time period in which the fault identifier is located as a second time range.
The first time period is compared to the second time range.
If the first time range is the same as the second time range, determining that the total metering state is the short-time current loop virtual connection.
In another case, if the fault type is that the current loop is shorted and the fault identifier indicates that the total table has faults, the first time period in which the current loop is shorted is queried as a third time range, and the first time period in which the fault identifier is queried as a fourth time range.
The third time period is compared to a fourth time range.
And if the third time range is the same as the fourth time range, determining that the metering state of the total table is short-circuited in the short-time current loop.
In this embodiment, operation data is collected for a designated transformer area, and transformers in the transformer area are configured with a total table, wherein the operation data includes a current value and a line loss rate; the operation data is cleaned under at least one dimension of the transformer area, the transformer and the summary table, interference is removed, the quality of the operation data is improved, and therefore the reliability of fault detection is improved; if the cleaning treatment is finished, the fault class is divided into the total table according to the current value in the first time period; generating a fault identifier for the summary table in a first time period according to the line loss rate in a second time period, wherein the fault identifier indicates whether the summary table has faults or not, and the second time period is divided into a plurality of first time periods; the method comprises the steps of combining fault categories and fault identifications to determine metering states of a total table in a first time period. According to the method and the device for detecting the fault of the total current loop of the transformer area, the change condition of the current value and the condition of the line loss rate of the transformer area are subjected to association calculation, the fault condition of the total current loop of the transformer area is judged, the accuracy of fault detection can be effectively improved, the availability is high, the calculation is simple and convenient, the understanding and the grasp are easy, the occupied calculation resources are few, and the integration into a power system is easier.
Example two
Fig. 2 is a schematic structural diagram of a total surface measurement detection device according to a second embodiment of the present invention. As shown in fig. 2, the apparatus includes:
an operation data acquisition module 201, configured to acquire operation data for a specified transformer area, where a total table is configured for transformers in the transformer area, where the operation data includes a current value and a line loss rate;
a data cleaning module 202, configured to perform cleaning processing on the operation data in at least one dimension among the transformer area, the transformer, and the summary table;
the fault classification module 203 is configured to classify fault classes according to the current value in the first time period if the cleaning process is completed;
a fault identification generating module 204, configured to generate a fault identification for the summary table in the first time period according to the line loss rate in a second time period, where the fault identification indicates whether the summary table fails, and the second time period is divided into a plurality of first time periods;
a metering state determining module 205 is configured to determine a metering state of the summary table during the first time period by combining the fault category and the fault identifier.
In one embodiment of the present invention, the data cleansing module 202 includes:
The light load rejection module is used for inquiring the reasons of the abnormal line loss rate of the transformer in the second time period; if the factor is the light load of the transformer, eliminating the operation data related to the light load;
the power conversion rejection module is used for inquiring the power supply state of the transformer; if the power supply state comprises a ring network transfer power supply switch, eliminating the operation data related to the ring network transfer power supply;
the replacement and rejection module is used for inquiring the use state of the summary list in the second time period; if the use state is replacement, rejecting the operation data related to the replacement of the summary table;
the null value eliminating module is used for inquiring the data state of the summary table in the second time period; and if the data state comprises at least one of a voltage value and a current value which is 0, rejecting the operation data when at least one of the voltage value and the current value is 0.
In one embodiment of the present invention, the fault classification module 203 includes:
the total number counting module is used for counting the total number of sampling points for collecting the current value in a first time period;
an abnormal current value identification module for identifying the current value in abnormality under a certain phase;
A first quantity counting module, configured to count, in the first time period, a first quantity of the current values that are abnormal;
a first duty ratio statistics module, configured to, in the same first time period, count a first duty ratio of the first number in the total number;
the current loop virtual connection determining module is used for determining that the fault type of the total table is the current loop virtual connection if the first duty ratio is larger than or equal to a preset first ratio threshold value;
a second number statistics module, configured to count, during the first time period, a second number of the collected current values of at least one phase;
a second duty ratio statistics module, configured to, in the same first time period, count a second duty ratio of the second number in the total number;
and the current loop short circuit determining module is used for determining that the fault type of the total table is the current loop short circuit if the second duty ratio is smaller than or equal to a preset second proportion threshold value.
In one embodiment of the present invention, the abnormal current value recognition module includes:
the null value abnormality determination module is used for determining that the current value is abnormal if the current value of any phase is null;
A current average calculation module for calculating an average of the current values over a second time period for each phase of the current values;
the abnormal threshold generating module is used for taking a specified proportion from the absolute value of the average value as an abnormal threshold;
and the threshold value abnormality determining module is used for determining that the current value is abnormal if the absolute value of the current value of any phase is smaller than or equal to the corresponding abnormality threshold value.
In one embodiment of the present invention, the fault identification generation module 204 includes:
the change state query module is used for querying the change state of the line loss rate of the transformer in each first time period represented in a second time period;
the abrupt change searching module is used for searching the line loss rate of the transformer abrupt change relative to the change state in the first time period if the change state is that the line loss rate of the transformer tends to be stable in the second time period and belongs to positive line loss;
and the fault identification configuration module is used for generating a fault identification representing the occurrence of faults for the first time period for the total table if the fault identification is found.
In one embodiment of the invention, the mutation finding module comprises:
the threshold comparison module is used for comparing the line loss rate of the transformer in each first time period with a preset line loss threshold, wherein the line loss threshold is a negative number;
the attribute query module is used for querying the attribute of the line loss rate of the transformer in each first time period;
the abrupt change determining module is configured to determine that the line loss rate of the transformer in the first time period is abrupt relative to the change state if the line loss rate of the transformer in some first time period is smaller than the line loss threshold and the attribute is negative line loss.
In one embodiment of the present invention, the metering state determining module 205 includes:
the first range determining module is configured to query the first time period in which the current loop virtual connection is located, as a first time range, and query the first time period in which the fault identifier is located, as a second time range, if the fault type is a current loop virtual connection and the fault identifier indicates that the summary table has a fault;
the current loop virtual connection marking module is used for determining that the metering state of the total table is short-time current loop virtual connection if the first time range is the same as the second time range;
The second range determining module is configured to query the first time period and the third time range where the short circuit of the current loop is located, and query the first time period and the fourth time range where the fault identifier is located, respectively, if the fault type is short circuit of the current loop and the fault identifier indicates that the summary table has a fault;
and the current loop short circuit marking module is used for determining that the metering state of the total table is short circuit of the short-time current loop if the third time range is the same as the fourth time range.
The total surface measurement detection device provided by the embodiment of the invention can execute the total surface measurement detection method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of executing the total surface measurement detection method.
Example III
Fig. 3 shows a schematic diagram of the structure of an electronic device 10 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 3, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as the total meter detection method.
In some embodiments, the total meter detection method may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the above-described total surface measurement detection method may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the total meter detection method in any other suitable way (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
Example IV
Embodiments of the present invention also provide a computer program product comprising a computer program which, when executed by a processor, implements a total surface metering detection method as provided by any of the embodiments of the present invention.
Computer program product in the implementation, the computer program code for carrying out operations of the present invention may be written in one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (10)
1. A method of total meter detection comprising:
collecting operation data of a designated station area, wherein transformers in the station area are configured with a total table, and the operation data comprise current values and line loss rates;
cleaning the operation data under at least one dimension of the transformer area, the transformer and the summary table;
if the cleaning process is completed, classifying fault types of the total table according to the current value in the first time period;
Generating a fault identifier for the summary table in the first time period according to the line loss rate in a second time period, wherein the fault identifier indicates whether the summary table is faulty or not, and the second time period is divided into a plurality of first time periods;
and determining the metering state of the total table in the first time period by combining the fault category and the fault identification.
2. The method of claim 1, wherein said cleaning said operational data in at least one dimension of said transformer, said transformer and said headquarters comprises:
inquiring the reason of the abnormal line loss rate of the transformer in the second time period;
if the factor is the light load of the transformer, eliminating the operation data related to the light load;
inquiring the power supply state of the transformer;
if the power supply state comprises a ring network transfer power supply switch, eliminating the operation data related to the ring network transfer power supply;
inquiring the using state of the summary table in the second time period;
if the use state is replacement, rejecting the operation data related to the replacement of the summary table;
Querying the data state of the summary table in the second time period;
and if the data state comprises at least one of a voltage value and a current value which is 0, rejecting the operation data when at least one of the voltage value and the current value is 0.
3. The method of claim 1, wherein said classifying the total table according to the current value over a first time period comprises:
counting the total number of sampling points for collecting the current value in a first time period;
identifying the current value at an anomaly in a certain phase;
counting a first number of the current values in abnormality during the first time period;
counting a first duty cycle of the first number in the total number during the same first time period;
if the first duty ratio is greater than or equal to a preset first proportional threshold, determining that the fault class of the total table is virtual connection of a current loop;
counting a second number of the collected at least one phase of the current values during the first time period;
counting a second duty cycle of the second number in the total number during the same first time period;
And if the second duty ratio is smaller than or equal to a preset second proportion threshold value, determining that the fault type of the total table is short circuit of the current loop.
4. A method according to claim 3, wherein said identifying said current value at an anomaly in a phase comprises:
if the current value of any phase is empty, determining that the current value is abnormal;
calculating an average value of the current values over a second time period for each phase of the current values;
taking a specified proportion from the absolute value of the average value as an abnormal threshold value;
and if the absolute value of the current value of any phase is smaller than or equal to the corresponding abnormal threshold value, determining that the current value is abnormal.
5. The method of claim 1, wherein the generating a fault indication for the summary table for the first time period based on the line loss rate for a second time period comprises:
inquiring the change state of the line loss rate of the transformer in each first time period represented in a second time period;
if the change state is that the line loss rate of the transformer in each first time period tends to be stable in a second time period and belongs to positive line loss, searching the line loss rate of the transformer, which is suddenly changed relative to the change state in the first time period;
If found, generating a fault identification representing the occurrence of a fault for the first time period for the summary table.
6. The method of claim 5, wherein said finding the line loss rate for the transformer that suddenly changes with respect to the change state for the first period of time comprises:
comparing the line loss rate of the transformer in each first time period with a preset line loss threshold, wherein the line loss threshold is a negative number;
inquiring the attribute of the line loss rate of the transformer in each first time period;
and if the line loss rate of the transformer in a certain first time period is smaller than the line loss threshold and the attribute is negative line loss, determining that the line loss rate of the transformer in the first time period is suddenly changed relative to the change state.
7. The method of claims 1-6, wherein the determining a metering state of the summary table over the first time period in combination with the fault category and the fault identification comprises:
if the fault type is a virtual connection of a current loop and the fault identifier indicates that the summary table has faults, respectively inquiring the first time period where the virtual connection of the current loop is located as a first time range, and inquiring the first time period where the fault identifier is located as a second time range;
If the first time range is the same as the second time range, determining that the metering state of the total table is short-time current loop virtual connection;
if the fault type is short circuit of the current loop and the fault identification indicates that the total table has faults, respectively inquiring the first time period and the fourth time period where the short circuit of the current loop is located as a third time range, and inquiring the first time period and the fourth time range where the fault identification is located;
and if the third time range is the same as the fourth time range, determining that the metering state of the total table is short-circuited in the short-time current loop.
8. A total meter measurement test device comprising:
the system comprises an operation data acquisition module, a control module and a control module, wherein the operation data acquisition module is used for acquiring operation data for a designated transformer area, the transformers in the transformer area are configured with a total table, and the operation data comprise a current value and a line loss rate;
the data cleaning module is used for cleaning the operation data under at least one dimension of the transformer area, the transformer and the summary list;
the fault category classification module is used for classifying fault categories to the summary table according to the current value in the first time period if the cleaning process is completed;
The fault identification generation module is used for generating a fault identification for the summary table in the first time period according to the line loss rate in a second time period, wherein the fault identification represents whether the summary table is faulty or not, and the second time period is divided into a plurality of first time periods;
and the metering state determining module is used for determining the metering state of the total table in the first time period by combining the fault category and the fault identification.
9. An electronic device, the electronic device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the total surface metering method of any of claims 1-7.
10. A computer readable storage medium, characterized in that the computer readable storage medium stores a computer program for causing a processor to implement the total surface metering detection method of any one of claims 1 to 7 when executed.
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