CN114422884A - Distribution transformer fault sample collection method, device and system - Google Patents
Distribution transformer fault sample collection method, device and system Download PDFInfo
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- CN114422884A CN114422884A CN202111421991.7A CN202111421991A CN114422884A CN 114422884 A CN114422884 A CN 114422884A CN 202111421991 A CN202111421991 A CN 202111421991A CN 114422884 A CN114422884 A CN 114422884A
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- H04Q9/00—Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom
- H04Q9/02—Automatically-operated arrangements
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H04Q2209/00—Arrangements in telecontrol or telemetry systems
- H04Q2209/20—Arrangements in telecontrol or telemetry systems using a distributed architecture
Abstract
The invention provides a method, a device and a system for collecting a fault sample of a distribution transformer. The method comprises the following steps: acquiring alarm information of a distribution transformer; acquiring initial data related to the distribution transformer in a preset time period from an intelligent fusion terminal according to the alarm information; and acquiring fault sample data of the distribution transformer from the initial data according to the alarm information. The method is based on the idea of edge calculation, the distribution transformer fault sample collection method is executed on the intelligent fusion terminal, initial data can be directly collected from the intelligent fusion terminal through the method, required data items can be obtained from the initial data, communication loss or errors do not exist, the accuracy of sample data is high, and data storage and calculation pressure on a platform side can be relieved.
Description
Technical Field
The invention relates to the field of distribution automation, in particular to a distribution transformer fault sample acquisition method, a distribution transformer fault sample acquisition device and a distribution transformer fault sample acquisition system.
Background
In the distribution automation technical field, the platform district intelligence fuses the terminal and as the marginal equipment of wisdom thing allies oneself with the system, possesses functions such as information acquisition, thing allies oneself with agent and edge calculation. Compared with the traditional mode of detecting the distribution transformer electric quantity data items on site, the method has the advantages that data are collected more quickly and accurately through the intelligent integration terminal of the transformer area, and the possibility is provided for predicting distribution transformation faults in advance.
With the development of computer-aided computing technology, prediction of the direction of change of data, the value of data, and the like by performing processing calculation on sample data has been widely used in data processing. The fault data of the distribution transformer can also be used as sample data for predicting the fault of the distribution transformer in advance.
In the prior art, the station area intelligent fusion terminal acquires data of an accessed transformer, simply processes the data and uploads the data to a remote power distribution center platform, and the power distribution center platform stores and further analyzes and processes the data. The power distribution center platform has access to a large number of intelligent fusion terminals, and different intelligent fusion terminals have access to at least one power distribution transformer, so that the power distribution center platform needs to process massive data within a certain time, and the calculation demand on the power distribution center platform is large. And a large amount of calculation is needed to select the required fault data from the massive data, so that the calculation pressure on the platform side is greatly increased, and meanwhile, the error probability of the acquired fault data is increased, so that the function of the fault data as sample data is influenced.
Disclosure of Invention
The invention aims to provide a distribution transformer fault sample acquisition method, a distribution transformer fault sample acquisition device and a distribution transformer fault sample acquisition system.
In order to achieve the above object, a first aspect of the present invention provides a distribution transformer fault sample collection method, where the method is executed on an intelligent convergence terminal, and the method includes:
acquiring alarm information of a distribution transformer;
acquiring initial data related to the distribution transformer in a preset time period from the intelligent fusion terminal according to the alarm information;
and acquiring fault sample data of the distribution transformer from the initial data according to the alarm information.
Optionally, the alarm information includes: a transformer model and a transformer fault type; the initial data includes: directly monitoring data and statistical data; the direct monitoring data includes: temperature, frequency, current, voltage, and harmonics; the statistical data includes: current distortion rate, voltage qualification rate, imbalance, active power and reactive power. The intelligent fusion terminal can perform statistical processing on the direct monitoring data, and the data after statistical processing also needs to be acquired as initial data.
Further, the acquiring fault sample data of the distribution transformer from the initial data according to the alarm information includes:
acquiring sample data items to be acquired according to the transformer fault type in the alarm information;
acquiring data corresponding to the sample data item from the initial data;
and taking the sample data item and the corresponding data as the fault sample data. The initial data are all data related to the distribution transformer, data items required by different transformer fault types are different, required sample data items are obtained from the initial data, irrelevant data items are deleted, the overall data volume is small, the calculation speed is high, and the accuracy is high.
Optionally, after obtaining the data corresponding to the sample data item from the initial data, the method further includes:
judging whether the sample data item has missing data of the sample data item, if so, marking the sample data item with the missing data as null;
and taking the sample data item marked as empty, the sample data item of the acquired data and the data corresponding to the sample data item of the acquired data as the fault sample data. The initial data comprises all data related to the distribution transformer, but after a fault occurs, the fault is influenced by the fault of the transformer, some data of the fault transformer may be lost, and the data loss phenomenon is faithfully recorded in sample data in the form of a null sample data item, so that the change condition of the fault data can be reflected more truly and objectively.
Optionally, the method further includes: and uploading the fault sample data, the transformer model and the transformer fault type of the distribution transformer to a cloud database. The data uploading cloud database is used for establishing a complete fault sample database, and the database can provide data support for fault study and judgment algorithm design and model training.
Optionally, uploading fault sample data, the transformer model and the transformer fault type of the distribution transformer to a cloud database, including:
and uploading fault sample data, the transformer model and the transformer fault type of the distribution transformer to different cloud databases according to the transformer fault type. The data of different fault types are respectively uploaded to different database domains and are stored differently according to different fault types, different fault sample databases can be obtained, a fault study and judgment algorithm designed based on the fault sample data can correspond to the faults one by one, and the accuracy is higher.
Optionally, before acquiring the alarm information of the distribution transformer, the method further includes:
acquiring the model of a transformer of a distribution transformer accessed to the intelligent fusion terminal;
and configuring transformer fault types to be acquired and sample data items to be acquired according to the transformer model association of the distribution transformer. The intelligent integration terminal can be connected with a plurality of transformers, in order to meet the requirements of different power users in a distribution room, the models of the transformers are different, the types of the transformers of different models which are prone to fault are different, the types of the transformers of different models and the data items are set independently, on one hand, all needed data are guaranteed to be collected, on the other hand, the data which are not needed are eliminated, the data volume is reduced, and the resource consumption of data transmission and data storage is saved.
The invention provides a distribution transformer fault sample collecting device in a second aspect, which comprises:
a controller to:
acquiring alarm information of a distribution transformer;
acquiring initial data related to the distribution transformer in a preset time period from the intelligent fusion terminal according to the alarm information;
and acquiring fault sample data of the distribution transformer from the initial data according to the alarm information. The device is based on the thought of edge calculation, obtains the initial data that is correlated with distribution transformer in the preset time quantum from intelligent fusion terminal, obtains required sample data item from it again, does not have communication loss or error, and the sample data degree of accuracy is high, can alleviate platform side data storage and calculation pressure.
Optionally, the obtaining fault sample data of the distribution transformer from the initial data according to the alarm information includes:
acquiring sample data items to be acquired according to the transformer fault type in the alarm information;
acquiring data corresponding to the sample data item from the initial data;
and taking the sample data item and the corresponding data as the fault sample data.
Optionally, the controller is further configured to:
after data corresponding to the sample data item is acquired from the initial data, judging whether the sample data item has missing data of the sample data item, if so, marking the sample data item with the missing data as null;
and taking the sample data item marked as empty, the sample data item of the acquired data and the data corresponding to the sample data item of the acquired data as the fault sample data.
Optionally, the apparatus further includes a communication module, configured to upload, under control of the controller, fault sample data of the distribution transformer, a transformer model, and a transformer fault type to a cloud database.
Optionally, the uploading fault sample data, the transformer model and the transformer fault type of the distribution transformer to a cloud database includes:
and uploading fault sample data, the transformer model and the transformer fault type of the distribution transformer to different cloud databases according to the transformer fault type.
Optionally, the controller is further configured to:
before acquiring alarm information of a distribution transformer, acquiring the model of the distribution transformer accessed to the intelligent fusion terminal;
and configuring transformer fault types to be acquired and sample data items to be acquired according to the transformer model association of the distribution transformer.
A third aspect of the invention provides a distribution transformer fault sample acquisition system, the system comprising:
the alarm information acquisition module is used for acquiring alarm information of the distribution transformer;
the initial data acquisition module is used for acquiring initial data related to the distribution transformer in a preset time period from the intelligent fusion terminal according to the alarm information;
and the fault sample data acquisition module is used for acquiring fault sample data of the distribution transformer from the initial data according to the alarm information. The acquisition system is arranged on an intelligent fusion terminal based on the idea of edge calculation, initial data related to the distribution transformer in a preset time period is acquired from the intelligent fusion terminal, and then required data items are acquired from the initial data.
Optionally, the system further includes:
and the data uploading module is used for uploading the fault sample data, the transformer model and the transformer fault type data of the distribution transformer to a cloud database.
Optionally, the system further includes:
and the acquisition fault type configuration module is used for acquiring the transformer model of the distribution transformer accessed into the intelligent fusion terminal and configuring the transformer fault type to be acquired and the sample data item to be acquired according to the transformer model of the distribution transformer in an associated manner.
In another aspect, the present invention provides a machine-readable storage medium having stored thereon instructions for causing a machine to perform the distribution transformer fault sample acquisition method.
Through the technical scheme, the distribution transformer fault sample collection method is executed on the intelligent fusion terminal based on the idea of edge calculation, initial data can be directly collected from the intelligent fusion terminal through the method, the required data items can be obtained from the initial data, communication loss or errors do not exist, the accuracy of sample data is high, and data storage and calculation pressure on the platform side can be relieved.
Additional features and advantages of embodiments of the invention will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the embodiments of the invention without limiting the embodiments of the invention. In the drawings:
FIG. 1 is a flow chart of a method for collecting samples of faults in a distribution transformer according to an embodiment of the present invention;
FIG. 2 is a block diagram of a distribution transformer fault sample collection apparatus according to an embodiment of the present invention;
fig. 3 is a block diagram of a distribution transformer fault sample acquisition system according to an embodiment of the present invention.
Detailed Description
The following detailed description of embodiments of the invention refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present invention, are given by way of illustration and explanation only, not limitation.
Example one
Fig. 1 is a flowchart of a distribution transformer fault sample collection method according to an embodiment of the present invention. The method is executed on an intelligent convergence terminal, as shown in fig. 1, and includes:
acquiring alarm information of a distribution transformer;
acquiring initial data related to the distribution transformer in a preset time period from the intelligent fusion terminal according to the alarm information;
and acquiring fault sample data of the distribution transformer from the initial data according to the alarm information.
In a power distribution system, a power distribution transformer is connected into an intelligent fusion terminal, one intelligent fusion terminal can be connected into a plurality of power distribution transformers, and the intelligent fusion terminal is used for acquiring data of the power distribution transformer and simply processing the data. When the distribution transformer breaks down, the distribution transformer can send alarm information to the intelligent fusion terminal, the alarm information can be acquired from the intelligent fusion terminal after the intelligent fusion terminal receives the alarm information, and the alarm information of the distribution transformer at least can comprise: transformer model and transformer fault type. And after the alarm information is acquired, acquiring initial data related to the distribution transformer in a preset time period from the intelligent fusion terminal according to the model of the transformer.
The preset time period generally takes the time point of acquiring the alarm information as a reference time point, and then the time period from the time point to the reference time point is a preset time period, for example, if the time point of acquiring the alarm information is: 12:15, the time period is 1 hour, and the preset time period is as follows: 11:15-12:15, initial data relating to the distribution transformer between 11:15-12:15 is acquired.
The initial data includes: the intelligent fusion terminal directly monitors and records direct monitoring data and statistical data obtained after processing the direct monitoring data; the direct monitoring data includes: temperature, frequency, current, voltage, and harmonics; the statistical data includes: current distortion rate, voltage qualification rate, imbalance, active power and reactive power. The intelligent fusion terminal can perform statistical processing on the direct monitoring data, and the data after statistical processing also needs to be acquired as initial data.
After initial data are obtained, obtaining sample data items needing to be collected according to the transformer fault type in the alarm information; then acquiring data corresponding to the sample data item from the initial data; and taking the sample data item and the corresponding data as fault sample data. The initial data is all data related to the distribution transformer, the sample data items required by different transformer fault types are different, the required sample data items are obtained from the initial data, irrelevant data items are deleted, the overall data size is small, the calculation speed is high, and the accuracy is high.
The method comprises the steps that different types of transformer faults have different influences on data of a distribution transformer which can be monitored by an intelligent fusion terminal, some transformer faults only affect the value of the data, some faults can enable the intelligent fusion terminal not to acquire the data, when the faults which can not acquire the data occur, after data corresponding to a data item is acquired from initial data, whether sample data item missing data exists in the sample data item needs to be judged, and if yes, the sample data item of the missing data is marked to be empty; and taking the sample data item marked as empty, the sample data item of the acquired data and the data corresponding to the sample data item of the acquired data as the fault sample data.
The initial data comprises all data related to the distribution transformer, but after a fault occurs, the fault is influenced by the fault of the transformer, some data of the fault transformer may be lost, and the data loss phenomenon is faithfully recorded in sample data in the form of empty data items, so that the change condition of the fault data can be reflected more truly and objectively.
In this embodiment, after the fault sample data is acquired, in order to facilitate the formation of the fault sample database, the fault sample data, the transformer model and the transformer fault type of the distribution transformer may be uploaded to a cloud database. The data uploading cloud database is used for establishing a complete fault sample database, and the database can provide data support for fault study and judgment algorithm design and model training.
The data of different fault types can be uploaded to the same cloud database, the same cloud database contains fault sample data of various fault types, a fault studying and judging algorithm designed by using the fault sample data can be used for studying and judging various types of faults, the application range is wide, the accuracy can be correspondingly lost, and specific fault types can not be directly studied and judged. The cloud database is a pre-established cloud fault sample library.
After a distribution transformer is connected to an intelligent fusion terminal, the type of a sample to be acquired of the distribution transformer needs to be configured, and the type of the distribution transformer connected to the intelligent fusion terminal is firstly obtained; and then configuring the transformer fault type to be acquired and the sample data item to be acquired according to the transformer model association of the distribution transformer. The intelligent integration terminal can be connected with a plurality of transformers, in order to meet the requirements of different power users in a distribution room, the models of the transformers are different, the types of the transformers of different models which are prone to fault are different, the types of the transformers of different models and the data items are set independently, on one hand, all needed data are guaranteed to be collected, on the other hand, the data which are not needed are eliminated, the data volume is reduced, and the resource consumption of data transmission and data storage is saved.
It should be noted that the model of the distribution transformer may be obtained through manual input by a user, or may be obtained automatically through access information of the distribution transformer.
Example two
The embodiment provides a distribution transformer fault sample acquisition method, which is executed on an intelligent fusion terminal and comprises the following steps:
acquiring alarm information of a distribution transformer;
acquiring initial data related to the distribution transformer in a preset time period from an intelligent fusion terminal according to the alarm information;
and acquiring fault sample data of the distribution transformer from the initial data according to the alarm information.
In a power distribution system, a power distribution transformer is connected into an intelligent fusion terminal, one intelligent fusion terminal can be connected into a plurality of power distribution transformers, and the intelligent fusion terminal is used for acquiring data of the power distribution transformer and simply processing the data. When the distribution transformer breaks down, the distribution transformer can send alarm information to the intelligent fusion terminal, the alarm information can be acquired from the intelligent fusion terminal after the intelligent fusion terminal receives the alarm information, and the alarm information of the distribution transformer at least can comprise: transformer model and transformer fault type. And after the alarm information is acquired, acquiring initial data related to the distribution transformer in a preset time period from the intelligent fusion terminal according to the model of the transformer.
The preset time period generally takes the time point of acquiring the alarm information as a reference time point, and then the time period from the time point to the reference time point is a preset time period, for example, if the time point of acquiring the alarm information is: 12:15, the time period is 1 hour, and the preset time period is as follows: 11:15-12:15, initial data relating to the distribution transformer between 11:15-12:15 is acquired.
The initial data includes: the intelligent fusion terminal directly monitors and records direct monitoring data and statistical data obtained after processing the direct monitoring data; the direct monitoring data includes: temperature, frequency, current, voltage, and harmonics; the statistical data includes: current distortion rate, voltage qualification rate, imbalance, active power and reactive power. The intelligent fusion terminal can perform statistical processing on the direct monitoring data, and the data after statistical processing also needs to be acquired as initial data.
After initial data are obtained, obtaining sample data items needing to be collected according to the transformer fault type in the alarm information; then acquiring data corresponding to the sample data item from the initial data; and taking the sample data item and the corresponding data as fault sample data. The initial data is all data related to the distribution transformer, the sample data items required by different transformer fault types are different, the required sample data items are obtained from the initial data, irrelevant data items are deleted, the overall data size is small, the calculation speed is high, and the accuracy is high.
The method comprises the steps that different types of transformer faults have different influences on data of a distribution transformer which can be monitored by an intelligent fusion terminal, some transformer faults only affect the value of the data, some faults can enable the intelligent fusion terminal not to acquire the data, when the faults which can not acquire the data occur, after data corresponding to a data item is acquired from initial data, whether sample data item missing data exists in the sample data item or not needs to be judged, and if yes, the sample data item of the missing data is marked to be empty; and taking the sample data item marked as empty, the sample data item of the acquired data and the data corresponding to the sample data item of the acquired data as the fault sample data.
The initial data comprises all data related to the distribution transformer, but after a fault occurs, the fault is influenced by the fault of the transformer, some data of the fault transformer may be lost, and the data loss phenomenon is faithfully recorded in sample data in the form of empty data items, so that the change condition of the fault data can be reflected more truly and objectively.
In this embodiment, after the fault sample data is obtained, the fault sample data, the transformer model and the transformer fault type of the distribution transformer are uploaded to different cloud databases according to the transformer fault type, data of different transformer fault types are respectively uploaded to different databases, and are stored differently according to different fault types, so that different fault sample databases can be obtained, and a fault study and judgment algorithm designed based on the fault sample data can correspond to faults one to one, and the accuracy is higher. Different cloud databases can be different storage areas arranged on the same server, and one database can correspond to one server. The cloud database is a pre-established cloud fault sample library.
After a distribution transformer is connected to an intelligent fusion terminal, the type of a sample to be acquired of the distribution transformer needs to be configured, and the type of the distribution transformer connected to the intelligent fusion terminal is firstly obtained; and then configuring the transformer fault type to be acquired and the sample data item to be acquired according to the transformer model association of the distribution transformer. The intelligent integration terminal can be connected with a plurality of transformers, in order to meet the requirements of different power users in a distribution room, the models of the transformers are different, the types of the transformers of different models which are prone to fault are different, the types of the transformers of different models and the data items are set independently, on one hand, all needed data are guaranteed to be collected, on the other hand, the data which are not needed are eliminated, the data volume is reduced, and the resource consumption of data transmission and data storage is saved.
It should be noted that the model of the distribution transformer may be obtained through manual input by a user, or may be obtained automatically through access information of the distribution transformer.
EXAMPLE III
Fig. 2 is a block diagram of a distribution transformer fault sample collection apparatus according to an embodiment of the present invention. As shown in fig. 2, the apparatus includes:
a controller to:
acquiring alarm information of a distribution transformer;
acquiring initial data related to the distribution transformer in a preset time period from an intelligent fusion terminal according to the alarm information;
and acquiring fault sample data of the distribution transformer from the initial data according to the alarm information. The device is based on the thought of edge calculation, obtains the initial data that is correlated with distribution transformer in the preset time quantum from intelligent fusion terminal, obtains required data item from it again, does not have communication loss or error, and sample data accuracy is high, can alleviate platform side data storage and calculation pressure.
The device of this application needs to obtain distribution transformer warning information from intelligent fusion terminal, consequently, the controller need with intelligent fusion terminal communication connection. When distribution transformer broke down, distribution transformer sent the warning message to intelligent fusion terminal, and the controller then acquires this warning message from intelligent fusion terminal, and this distribution transformer warning message can include at least: transformer model and transformer fault type. And after the alarm information is acquired, acquiring initial data related to the distribution transformer in a preset time period from the intelligent fusion terminal according to the model of the transformer.
After initial data are obtained, obtaining sample data items needing to be collected according to the transformer fault type in the alarm information; then acquiring data corresponding to the sample data item from the initial data; and taking the sample data item and the corresponding data as fault sample data. The initial data is all data related to the distribution transformer, the sample data items required by different transformer fault types are different, the required sample data items are obtained from the initial data, irrelevant data items are deleted, the overall data size is small, the calculation speed is high, and the accuracy is high.
In this embodiment, the controller is further configured to:
after data corresponding to the sample data item is acquired from the initial data, judging whether the sample data item has missing data of the sample data item, if so, marking the sample data item with the missing data as null;
and taking the sample data item marked as empty, the sample data item of the acquired data and the data corresponding to the sample data item of the acquired data as the fault sample data.
In this embodiment, the apparatus further includes: and the communication module is used for uploading fault sample data, the transformer model and the transformer fault type data of the distribution transformer to a cloud database under the control of the controller.
The data of different fault types can be uploaded to the same cloud database, the same cloud database contains fault sample data of various fault types, a fault studying and judging algorithm designed by using the fault sample data can be used for studying and judging various types of faults, the application range is wide, the accuracy can be correspondingly lost, and specific fault types can not be directly studied and judged.
In other embodiments, the fault sample data, the transformer model, and the transformer fault type data of the distribution transformer may be uploaded to different cloud databases according to the transformer fault type. The data of different fault types are respectively uploaded to different database domains and are stored differently according to different fault types, different fault sample databases can be obtained, a fault study and judgment algorithm designed based on the fault sample data can correspond to the faults one by one, and the accuracy is higher. Different cloud databases can be different storage areas arranged on the same server, and one database can correspond to one server.
In this embodiment, the controller is further configured to:
before acquiring alarm information of a distribution transformer, acquiring the model of the distribution transformer accessed to the intelligent fusion terminal; and configuring transformer fault types to be acquired and sample data items to be acquired according to the transformer model association of the distribution transformer.
Example four
In some embodiments, the carrier of the distribution transformer fault sample collection method in the present application is a fault sample collection system APP embedded in an intelligent convergence terminal, as shown in fig. 3, the system includes:
the alarm information acquisition module is used for acquiring alarm information of the distribution transformer;
the initial data acquisition module is used for acquiring initial data related to the distribution transformer in a preset time period from the intelligent fusion terminal according to the alarm information;
and the fault sample data acquisition module is used for acquiring fault sample data of the distribution transformer from the initial data according to the alarm information. The acquisition system is arranged on an intelligent fusion terminal based on the idea of edge calculation, initial data related to the distribution transformer in a preset time period is acquired from the intelligent fusion terminal, and then required data items are acquired from the initial data.
In this embodiment, the system further includes:
and the data uploading module is used for uploading the fault sample data, the transformer model and the transformer fault type data of the distribution transformer to a cloud database.
In this embodiment, the system further includes:
and the acquisition fault type configuration module is used for acquiring the transformer model of the distribution transformer accessed to the intelligent fusion terminal and configuring the transformer fault type to be acquired and the sample data item to be acquired according to the transformer model association of the distribution transformer.
The types of the distribution transformers which are commonly used and the corresponding fault types which can possibly occur can be prestored in the fault sample acquisition system APP, and each fault type has the corresponding affected electrical quantity data item and other monitorable parameters. If manual setting, the user can select according to the distribution transformer model of access, and trouble sample collection system APP can also manually adjust the data item of trouble sample collection system APP monitoring according to the data item of transformer model automatic matching trouble type and required monitoring. And after the setting is finished, the setting is stored in the registration information of the transformer.
Taking an SCB11 series 10kv dry-type transformer as an example, the possible fault types of the transformer comprise a lead part fault, a coil fault, an iron core fault and a tap changer fault; the fault data items to be collected include: temperature, frequency, three-phase current, three-phase voltage, unbalance, harmonics, active power and reactive power.
When the intelligent fusion terminal is connected to the SCB11 series 10kv dry-type transformer and starts the fault sample acquisition system APP in the above embodiment, the transformer type is manually selected to be the SCB11 series 10kv dry-type transformer. At the moment, the fault types are automatically matched into a lead part fault, a coil fault, an iron core fault, a tap changer fault and the like. Meanwhile, the sample data acquisition type is automatically set as the electrical quantity data item related to the selected fault type and other related data items which can be acquired.
The data item acquisition frequency of the intelligent fusion terminal is about 5 minutes/time, and the data item acquisition frequency is locally stored for a week, so that the failure sample acquisition system APP can directly acquire sample data acquired by the fusion terminal. When the intelligent integration terminal receives alarm information, for example, temperature rise is too high, the alarm information is sent to the fault sample acquisition system APP, the fault sample acquisition system APP extracts sample data collected when a fault is collected on the intelligent integration terminal and one hour before the fault, preprocessing is carried out according to the fault type, fault sample data is obtained, and after processing is completed, the fault sample acquisition system APP can upload the transformer model, the fault type and the processed sample data to a data table of the corresponding fault type of the fault sample library.
The embodiment of the invention also provides a machine-readable storage medium, wherein the machine-readable storage medium is stored with instructions, and the instructions are used for enabling a machine to execute the distribution transformer fault sample acquisition method.
Those skilled in the art will appreciate that all or part of the steps in the method for implementing the above embodiments may be implemented by a program, which is stored in a storage medium and includes several instructions to enable a single chip, a chip, or a processor (processor) to execute all or part of the steps in the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
While the embodiments of the present invention have been described in detail with reference to the accompanying drawings, the embodiments of the present invention are not limited to the details of the above embodiments, and various simple modifications can be made to the technical solution of the embodiments of the present invention within the technical idea of the embodiments of the present invention, and the simple modifications are within the scope of the embodiments of the present invention. It should be noted that the various features described in the above embodiments may be combined in any suitable manner without departing from the scope of the invention. In order to avoid unnecessary repetition, the embodiments of the present invention will not be described separately for the various possible combinations.
In addition, any combination of the various embodiments of the present invention is also possible, and the same should be considered as disclosed in the embodiments of the present invention as long as it does not depart from the spirit of the embodiments of the present invention.
Claims (17)
1. A distribution transformer fault sample collection method is executed on an intelligent fusion terminal, and the method comprises the following steps:
acquiring alarm information of a distribution transformer;
acquiring initial data related to the distribution transformer in a preset time period from the intelligent fusion terminal according to the alarm information;
and acquiring fault sample data of the distribution transformer from the initial data according to the alarm information.
2. The distribution transformer fault sample collection method of claim 1, wherein the alarm information comprises: a transformer model and a transformer fault type;
the initial data includes: directly monitoring data and statistical data;
the direct monitoring data includes: temperature, frequency, current, voltage, and harmonics;
the statistical data includes: current distortion rate, voltage qualification rate, imbalance, active power and reactive power.
3. The method according to claim 1, wherein the obtaining the fault sample data of the distribution transformer from the initial data according to the alarm information comprises:
acquiring sample data items to be acquired according to the transformer fault type in the alarm information;
acquiring data corresponding to the sample data item from the initial data;
and taking the sample data item and the corresponding data as the fault sample data.
4. The distribution transformer fault sample collection method of claim 3, wherein after obtaining data corresponding to the sample data item from the initial data, the method further comprises:
judging whether the sample data item has missing data of the sample data item, if so, marking the sample data item with the missing data as null;
and taking the sample data item marked as empty, the sample data item of the acquired data and the data corresponding to the sample data item of the acquired data as the fault sample data.
5. The distribution transformer fault sample acquisition method of claim 2, further comprising: and uploading the fault sample data, the transformer model and the transformer fault type of the distribution transformer to a cloud database.
6. The distribution transformer fault sample collection method of claim 5, wherein uploading fault sample data, transformer model, and transformer fault type of the distribution transformer to a cloud database comprises:
and uploading fault sample data, the transformer model and the transformer fault type of the distribution transformer to different cloud databases according to the transformer fault type.
7. The distribution transformer fault sample collection method of claim 1, wherein prior to obtaining alarm information for a distribution transformer, the method further comprises:
acquiring the model of a transformer of a distribution transformer accessed to the intelligent fusion terminal;
and configuring transformer fault types to be acquired and sample data items to be acquired according to the transformer model association of the distribution transformer.
8. A distribution transformer fault sample collection device, characterized by, includes:
a controller to:
acquiring alarm information of a distribution transformer;
acquiring initial data related to the distribution transformer in a preset time period from the intelligent fusion terminal according to the alarm information;
and acquiring fault sample data of the distribution transformer from the initial data according to the alarm information.
9. The distribution transformer fault sample collection device of claim 8, wherein the obtaining fault sample data of the distribution transformer from the initial data according to the alarm information comprises:
acquiring sample data items to be acquired according to the transformer fault type in the alarm information;
acquiring data corresponding to the sample data item from the initial data;
and taking the sample data item and the corresponding data as the fault sample data.
10. The distribution transformer fault sample acquisition device of claim 9, wherein the controller is further configured to:
after data corresponding to the sample data item is acquired from the initial data, judging whether the sample data item has missing data of the sample data item, if so, marking the sample data item with the missing data as null;
and taking the sample data item marked as empty, the sample data item of the acquired data and the data corresponding to the sample data item of the acquired data as the fault sample data.
11. The distribution transformer fault sample acquisition device of claim 8, further comprising: and the communication module is used for uploading fault sample data, the transformer model and the transformer fault type of the distribution transformer to a cloud database under the control of the controller.
12. The distribution transformer fault sample collection device of claim 11, wherein the uploading of fault sample data, transformer model, and transformer fault type of the distribution transformer to a cloud database comprises:
and uploading fault sample data, the transformer model and the transformer fault type of the distribution transformer to different cloud databases according to the transformer fault type.
13. The distribution transformer fault sample acquisition device of claim 8, wherein the controller is further configured to:
before acquiring alarm information of a distribution transformer, acquiring the model of the distribution transformer accessed to the intelligent fusion terminal;
and configuring transformer fault types to be acquired and sample data items to be acquired according to the transformer model association of the distribution transformer.
14. A distribution transformer fault sample acquisition system, the system comprising:
the alarm information acquisition module is used for acquiring alarm information of the distribution transformer;
the initial data acquisition module is used for acquiring initial data related to the distribution transformer in a preset time period from the intelligent fusion terminal according to the alarm information;
and the fault sample data acquisition module is used for acquiring fault sample data of the distribution transformer from the initial data according to the alarm information.
15. The distribution transformer fault sample acquisition system of claim 14, the system further comprising:
and the data uploading module is used for uploading the fault sample data, the transformer model and the transformer fault type data of the distribution transformer to a cloud database.
16. The distribution transformer fault sample acquisition system of claim 14, the system further comprising:
and the acquisition fault type configuration module is used for acquiring the transformer model of the distribution transformer accessed into the intelligent fusion terminal and configuring the transformer fault type to be acquired and the sample data item to be acquired according to the transformer model of the distribution transformer in an associated manner.
17. A machine-readable storage medium having instructions stored thereon for causing a machine to perform the distribution transformer fault sample acquisition method of any of claims 1-7.
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