CN116359658A - Power equipment abnormality judgment method and device, electronic equipment and storage medium - Google Patents
Power equipment abnormality judgment method and device, electronic equipment and storage medium Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/0096—Radiation pyrometry, e.g. infrared or optical thermometry for measuring wires, electrical contacts or electronic systems
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/48—Thermography; Techniques using wholly visual means
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- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K1/00—Details of thermometers not specially adapted for particular types of thermometer
- G01K1/02—Means for indicating or recording specially adapted for thermometers
- G01K1/024—Means for indicating or recording specially adapted for thermometers for remote indication
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- G01K1/00—Details of thermometers not specially adapted for particular types of thermometer
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- G01K13/00—Thermometers specially adapted for specific purposes
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
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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
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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- H04L67/00—Network arrangements or protocols for supporting network services or applications
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
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Abstract
The invention discloses a power equipment abnormality judgment method, a device, electronic equipment and a storage medium, which are used for solving the technical problem that the conventional power equipment abnormality judgment method is easy to produce misjudgment. The invention comprises the following steps: receiving temperature data sent by the temperature acquisition equipment, wherein the temperature data carries an electric power equipment identifier; acquiring a temperature data set of the corresponding power equipment according to the power equipment identifier; and judging whether the power equipment is abnormal or not according to the temperature data set. According to the invention, the plurality of temperature data sent by the plurality of temperature acquisition devices on each power device are received, and then whether the power device is abnormal or not is judged by carrying out combination analysis on the plurality of temperature data, so that the influence of the data abnormality of the single temperature acquisition device on the temperature judgment of the power device is reduced, and the accuracy of the abnormality judgment of the power device is improved.
Description
Technical Field
The present invention relates to the field of device monitoring technologies, and in particular, to a method and apparatus for determining abnormality of a power device, an electronic device, and a storage medium.
Background
In an electric power system, there are many electric power devices, and the normal operation of the electric power system requires participation of the electric power devices.
In the operation process of the power equipment, the power equipment may be in fault or damaged condition due to the influence of long-time working, environment and other factors, and in order to avoid the condition, the power equipment needs to be periodically maintained and checked.
The temperature of the power equipment is monitored, so that whether the power equipment fails or is damaged can be determined according to the temperature of the power equipment.
However, the existing abnormality determination method based on temperature is influenced by environmental factors and abnormality of monitoring equipment, and is easy to generate erroneous determination, so that the accuracy is low.
Disclosure of Invention
The invention provides a power equipment abnormality judgment method, a device, electronic equipment and a storage medium, which are used for solving the technical problem that the conventional power equipment abnormality judgment method is easy to produce misjudgment.
The invention provides a power equipment abnormality judging method which is applied to a cloud server, wherein the cloud server is communicated with temperature acquisition equipment, and each power equipment is provided with a plurality of temperature acquisition equipment; the method comprises the following steps:
receiving temperature data sent by the temperature acquisition equipment, wherein the temperature data carries an electric power equipment identifier;
acquiring a temperature data set of the corresponding power equipment according to the power equipment identifier;
and judging whether the power equipment is abnormal or not according to the temperature data set.
Optionally, the step of acquiring the temperature data set of the corresponding power equipment according to the power equipment identifier includes:
extracting target temperature data with the same power equipment identification from the temperature data;
acquiring time parameters of each target temperature data;
dividing the target temperature data into a plurality of temperature data sets according to a preset time dividing rule and the time parameter, wherein each temperature data set records the target temperature data in a time period.
Optionally, the step of judging whether the electrical equipment is abnormal according to the temperature data set includes:
acquiring a normal temperature range of a time period corresponding to the temperature dataset;
calculating an average value of each target temperature data in the temperature data set;
judging whether the average value is within the normal temperature range;
if yes, the power equipment corresponding to the temperature data set is characterized to be normal;
and if not, characterizing that the power equipment corresponding to the temperature data set is abnormal.
Optionally, after the step of determining whether the electrical equipment is abnormal according to the temperature data set, the method further includes:
when the power equipment is abnormal, acquiring a terminal equipment identifier corresponding to the power equipment identifier of the power equipment;
and sending an abnormal early warning to the terminal equipment corresponding to the terminal equipment identifier.
The invention also provides an abnormality judging device for the power equipment, which is applied to a cloud server, wherein the cloud server is communicated with the temperature acquisition equipment, and each power equipment is provided with a plurality of temperature acquisition equipment; the device comprises:
the temperature data receiving module is used for receiving temperature data sent by the temperature acquisition equipment, wherein the temperature data carries an electric power equipment identifier;
the temperature data set acquisition module is used for acquiring a temperature data set of the corresponding power equipment according to the power equipment identifier;
and the abnormality judging module is used for judging whether the power equipment is abnormal or not according to the temperature data set.
Optionally, the temperature dataset acquisition module includes:
the target temperature data extraction sub-module is used for extracting target temperature data with the same power equipment identifier from the temperature data;
the time parameter acquisition sub-module is used for acquiring the time parameter of each target temperature data;
the temperature data set dividing submodule is used for dividing the target temperature data into a plurality of temperature data sets according to a preset time dividing rule and the time parameter, and each temperature data set records the target temperature data in a time period.
Optionally, the anomaly determination module includes:
a normal temperature range obtaining sub-module, configured to obtain a normal temperature range of a time period corresponding to the temperature dataset;
the average value calculation sub-module is used for calculating the average value of each target temperature data in the temperature data set;
the judging submodule is used for judging whether the average value is in the normal temperature range or not;
the normal judging sub-module is used for representing that the power equipment corresponding to the temperature data set is normal if the power equipment is normal;
and the abnormality judging sub-module is used for representing that the power equipment corresponding to the temperature data set is abnormal if not.
Optionally, the method further comprises:
the terminal equipment identification acquisition module is used for acquiring a terminal equipment identification corresponding to the power equipment identification of the power equipment when the power equipment is abnormal;
and the abnormal early warning sending module is used for sending abnormal early warning to the terminal equipment corresponding to the terminal equipment identifier.
The invention also provides an electronic device comprising a processor and a memory:
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to execute the power equipment abnormality determination method according to any one of the above according to an instruction in the program code.
The present invention also provides a computer-readable storage medium storing program code for executing the electrical equipment abnormality determination method as set forth in any one of the above.
From the above technical scheme, the invention has the following advantages: the invention discloses a method for judging abnormality of power equipment, which comprises the following steps: receiving temperature data sent by temperature acquisition equipment, wherein the temperature data carries an electric power equipment identifier; acquiring a temperature data set of the corresponding power equipment according to the power equipment identifier; and judging whether the power equipment is abnormal or not according to the temperature data set. According to the invention, the plurality of temperature data sent by the plurality of temperature acquisition devices on each power device are received, and then whether the power device is abnormal or not is judged by carrying out combination analysis on the plurality of temperature data, so that the influence of the data abnormality of the single temperature acquisition device on the temperature judgment of the power device is reduced, and the accuracy of the abnormality judgment of the power device is improved.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the invention, and that other drawings can be obtained from these drawings without inventive faculty for a person skilled in the art.
Fig. 1 is a flowchart of steps of a method for determining abnormality of electrical equipment according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a method for determining an abnormality of a power device according to another embodiment of the present invention;
fig. 3 is a block diagram of a device for determining abnormality of electrical equipment according to an embodiment of the present invention.
Detailed Description
The embodiment of the invention provides a power equipment abnormality judgment method, a device, electronic equipment and a storage medium, which are used for solving the technical problem that the conventional power equipment abnormality judgment method is easy to produce misjudgment.
In order to make the objects, features and advantages of the present invention more comprehensible, the technical solutions in the embodiments of the present invention are described in detail below with reference to the accompanying drawings, and it is apparent that the embodiments described below are only some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, fig. 1 is a flowchart illustrating steps of a method for determining an abnormality of a power device according to an embodiment of the present invention.
The invention provides a power equipment abnormality judging method which is applied to a cloud server, wherein the cloud server is communicated with temperature acquisition equipment, and each power equipment is provided with a plurality of temperature acquisition equipment;
the cloud server is a concept from WEB3.0, has the characteristics of high distribution, high virtualization and the like, and can fully utilize network resources.
The temperature acquisition equipment can be a thermometer, a temperature sensor, a thermal imager and the like.
The power equipment can be a bus, a ground knife, a switch, a disconnecting link, a double-winding transformer, a three-winding transformer, a trolley, a ground wire, a pressing plate, an idle switch, a handle, a measurement and control cabinet, a sink control cabinet, a switch cabinet and the like.
The method specifically comprises the following steps:
in the embodiment of the invention, a plurality of temperature acquisition devices can be arranged on each power device, and the arrangement positions can be positions with obvious temperature change and temperature acquisition of the power devices.
Through the temperature acquisition equipment that sets up on power equipment, can gather the temperature data on the power equipment, temperature acquisition equipment and high in the clouds server communication can send the temperature data who gathers to the high in the clouds server.
In order to identify which power device the temperature data uploaded by the temperature acquisition device comes from, the uploaded temperature data can carry power device identifiers of the power devices, and each power device identifier of the power device has uniqueness.
The power equipment may be equipment located on the same line, for example, equipment on a 10KV line, equipment on a 0.4KV line, equipment on a 110KV rural I line, or the like.
102, acquiring a temperature data set of corresponding power equipment according to the power equipment identifier;
after the temperature data uploaded by each temperature acquisition device are received, the temperature data can be divided into temperature data sets corresponding to each power device according to the power device identifiers carried in the temperature data.
In one example, since the temperature collection devices on each power device may be different in type, there may be a difference in format in the temperature data uploaded by each power device, so after the cloud server receives the temperature data sent by each temperature collection device, it may first perform preprocessing on each temperature collection device, where the preprocessing may include format conversion to convert each temperature data into a unified format, so as to facilitate subsequent processing.
And step 103, judging whether the power equipment is abnormal or not according to the temperature data set.
After the temperature data set of each power device is obtained, whether the power device is abnormal or not can be judged according to the temperature data in the temperature data set.
According to the invention, the plurality of temperature data sent by the plurality of temperature acquisition devices on each power device are received, and then whether the power device is abnormal or not is judged by carrying out combination analysis on the plurality of temperature data, so that the influence of the data abnormality of the single temperature acquisition device on the temperature judgment of the power device is reduced, and the accuracy of the abnormality judgment of the power device is improved.
Referring to fig. 2, fig. 2 is a flowchart illustrating steps of a method for determining an abnormality of a power device according to another embodiment of the present invention. The method specifically comprises the following steps:
in the embodiment of the invention, the temperature data on the power equipment can be acquired through the temperature acquisition equipment arranged on the power equipment, the temperature acquisition equipment is communicated with the cloud server, and the acquired temperature data can be sent to the cloud server.
In order to identify which power device the temperature data uploaded by the temperature acquisition device comes from, the uploaded temperature data can carry power device identifiers of the power devices, and each power device identifier of the power device has uniqueness.
after the temperature data uploaded by each temperature acquisition device are received, the temperature data can be divided into temperature data sets corresponding to each power device according to the power device identifiers carried in the temperature data.
In one example, the step of obtaining a temperature dataset of a corresponding electrical device from an electrical device identification may comprise the sub-steps of:
s21, extracting target temperature data with the same power equipment identification from the temperature data;
s22, obtaining time parameters of each target temperature data;
s23, dividing the target temperature data into a plurality of temperature data sets according to a preset time division rule and a time parameter, wherein each temperature data set records the target temperature data in a time period.
In a specific implementation, target temperature data with the same power equipment identifier can be extracted from the temperature data, time parameters of the target temperature data are obtained, and the target temperature is divided into a plurality of temperature data sets according to a preset time division rule and the time parameters.
In one example, assume that power device a has 5 temperature acquisition devices, a first temperature acquisition device, a second temperature acquisition device, a third temperature acquisition device, a fourth temperature device, and a fifth temperature device, respectively; the target temperature data acquired by the five temperature acquisition devices are positioned in the first set; and dividing the target temperature data in the first set according to a time division rule, dividing the target temperature data with the acquisition time within the same time period into the same sub-set, for example, dividing the target temperature data in the time period of 6:00-6:10 into the first sub-set according to a gradient of 10 minutes, dividing the target temperature data in the time period of 6:10-6:20 into the second sub-set, and the like, wherein a plurality of sub-sets can be obtained, and each sub-set can be used as one temperature data set of the power equipment A.
after the temperature data set of each power device is obtained, whether the power device is abnormal or not can be judged according to the temperature data in the temperature data set.
In one example, the step of determining whether an abnormality occurs in the electrical device from the temperature dataset may comprise the sub-steps of:
s31, acquiring a normal temperature range of a time period corresponding to the temperature dataset;
s32, calculating an average value of all target temperature data in the temperature data set;
s33, judging whether the average value is within a normal temperature range;
s34, if so, the power equipment corresponding to the characterization temperature data set is normal;
and S35, if not, characterizing that the power equipment corresponding to the temperature data set is abnormal.
In a specific implementation, a normal temperature range of a time period corresponding to each temperature data set can be obtained, and then an average value of target temperature data in the temperature data sets is calculated; when the average value is not in the corresponding normal temperature range, representing that the power equipment corresponding to the temperature data set is abnormal; and when the average value is in the corresponding normal temperature range, the power equipment corresponding to the temperature data set is characterized to be normal.
Taking the power device a as an example, the cloud server may store a corresponding information table of the power device a, where a normal temperature range corresponding to each time period may be recorded in the corresponding information table, and the example is shown in the following table 1:
when the average value of target temperature data acquired by the power equipment A in the time period of 6:00-6:10 is 9 ℃, the power equipment A is characterized to normally operate in the time period; when the average value of the target temperature data acquired by the power equipment A in the time period of 6:00-6:10 is 12 ℃, the power equipment A is characterized to generate abnormal operation in the time period.
In another example, an anomaly identification model may be further provided in the cloud server, where the anomaly identification model may be different anomaly identification models trained for different electrical devices, or only one anomaly identification model may be provided, where the anomaly identification model may be obtained by training the initial neural network according to abnormal temperature data. The cloud server can input temperature data of each temperature data set into a corresponding abnormality identification model, and whether the power equipment is abnormal or not is determined according to an output result of the abnormality identification model.
and 205, sending an abnormality early warning to the terminal equipment corresponding to the terminal equipment identifier.
In the embodiment of the invention, the cloud server can maintain a corresponding relation information table comprising the corresponding relation between the power equipment and the terminal equipment, wherein the corresponding relation information table comprises the power equipment identification and the terminal equipment identification corresponding to the power equipment identification.
The cloud server can generate an abnormality early warning when determining that the power equipment is abnormal, and send the abnormality early warning to the terminal equipment corresponding to the power equipment identifier.
According to the invention, the plurality of temperature data sent by the plurality of temperature acquisition devices on each power device are received, and then whether the power device is abnormal or not is judged by carrying out combination analysis on the plurality of temperature data, so that the influence of the data abnormality of the single temperature acquisition device on the temperature judgment of the power device is reduced, and the accuracy of the abnormality judgment of the power device is improved.
Referring to fig. 3, fig. 3 is a block diagram illustrating a power equipment abnormality determination apparatus according to an embodiment of the present invention.
The embodiment of the invention provides an abnormality judging device for power equipment, which is applied to a cloud server, wherein the cloud server is communicated with temperature acquisition equipment, and each power equipment is provided with a plurality of temperature acquisition equipment; the device comprises:
the temperature data receiving module 301 is configured to receive temperature data sent by the temperature acquisition device, where the temperature data carries an electric power device identifier;
a temperature data set obtaining module 302, configured to obtain a temperature data set of a corresponding power device according to a power device identifier;
an abnormality determination module 303, configured to determine whether an abnormality occurs in the power device according to the temperature data set.
In an embodiment of the present invention, the temperature dataset acquisition module 302 includes:
the target temperature data extraction sub-module is used for extracting target temperature data with the same power equipment identifier from the temperature data;
the time parameter acquisition sub-module is used for acquiring the time parameter of each target temperature data;
the temperature data set dividing submodule is used for dividing the target temperature data into a plurality of temperature data sets according to a preset time dividing rule and a time parameter, and each temperature data set records the target temperature data in a time period.
In the embodiment of the present invention, the anomaly determination module 303 includes:
the normal temperature range acquisition sub-module is used for acquiring a normal temperature range of a time period corresponding to the temperature data set;
the average value calculation sub-module is used for calculating the average value of each target temperature data in the temperature data set;
the judging submodule is used for judging whether the average value is in a normal temperature range or not;
the normal judging sub-module is used for representing that the power equipment corresponding to the temperature data set is normal if the power equipment is normal;
and the abnormality judging sub-module is used for representing that the power equipment corresponding to the temperature data set is abnormal if not.
In an embodiment of the present invention, the method further includes:
the terminal equipment identification acquisition module is used for acquiring a terminal equipment identification corresponding to the power equipment identification of the power equipment when the power equipment is abnormal;
and the abnormal early warning sending module is used for sending abnormal early warning to the terminal equipment corresponding to the terminal equipment identifier.
The embodiment of the invention also provides electronic equipment, which comprises a processor and a memory:
the memory is used for storing the program codes and transmitting the program codes to the processor;
the processor is used for executing the power equipment abnormality judgment method according to the embodiment of the invention according to the instruction in the program code.
The embodiment of the invention also provides a computer readable storage medium, which is used for storing program codes, and the program codes are used for executing the power equipment abnormality judgment method.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described by differences from other embodiments, and identical and similar parts between the embodiments are all enough to be referred to each other.
It will be apparent to those skilled in the art that embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the invention may take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
Embodiments of the present invention are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal device, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiment and all such alterations and modifications as fall within the scope of the embodiments of the invention.
Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or terminal device comprising the element.
The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. The power equipment abnormality judging method is characterized by being applied to a cloud server, wherein the cloud server is communicated with temperature acquisition equipment, and each power equipment is provided with a plurality of temperature acquisition equipment; the method comprises the following steps:
receiving temperature data sent by the temperature acquisition equipment, wherein the temperature data carries an electric power equipment identifier;
acquiring a temperature data set of the corresponding power equipment according to the power equipment identifier;
and judging whether the power equipment is abnormal or not according to the temperature data set.
2. The method according to claim 1, wherein the step of acquiring a temperature dataset of the corresponding electrical device from the electrical device identification comprises:
extracting target temperature data with the same power equipment identification from the temperature data;
acquiring time parameters of each target temperature data;
dividing the target temperature data into a plurality of temperature data sets according to a preset time dividing rule and the time parameter, wherein each temperature data set records the target temperature data in a time period.
3. The method of claim 2, wherein the step of determining whether an anomaly has occurred in the electrical device based on the temperature dataset comprises:
acquiring a normal temperature range of a time period corresponding to the temperature dataset;
calculating an average value of each target temperature data in the temperature data set;
judging whether the average value is within the normal temperature range;
if yes, the power equipment corresponding to the temperature data set is characterized to be normal;
and if not, characterizing that the power equipment corresponding to the temperature data set is abnormal.
4. A method according to any one of claims 1-3, wherein after the step of determining from the temperature dataset whether an abnormality has occurred in the electrical device, further comprising:
when the power equipment is abnormal, acquiring a terminal equipment identifier corresponding to the power equipment identifier of the power equipment;
and sending an abnormal early warning to the terminal equipment corresponding to the terminal equipment identifier.
5. The power equipment abnormality judging device is characterized by being applied to a cloud server, wherein the cloud server is communicated with temperature acquisition equipment, and each power equipment is provided with a plurality of temperature acquisition equipment; the device comprises:
the temperature data receiving module is used for receiving temperature data sent by the temperature acquisition equipment, wherein the temperature data carries an electric power equipment identifier;
the temperature data set acquisition module is used for acquiring a temperature data set of the corresponding power equipment according to the power equipment identifier;
and the abnormality judging module is used for judging whether the power equipment is abnormal or not according to the temperature data set.
6. The apparatus of claim 5, wherein the temperature dataset acquisition module comprises:
the target temperature data extraction sub-module is used for extracting target temperature data with the same power equipment identifier from the temperature data;
the time parameter acquisition sub-module is used for acquiring the time parameter of each target temperature data;
the temperature data set dividing submodule is used for dividing the target temperature data into a plurality of temperature data sets according to a preset time dividing rule and the time parameter, and each temperature data set records the target temperature data in a time period.
7. The apparatus of claim 6, wherein the anomaly determination module comprises:
a normal temperature range obtaining sub-module, configured to obtain a normal temperature range of a time period corresponding to the temperature dataset;
the average value calculation sub-module is used for calculating the average value of each target temperature data in the temperature data set;
the judging submodule is used for judging whether the average value is in the normal temperature range or not;
the normal judging sub-module is used for representing that the power equipment corresponding to the temperature data set is normal if the power equipment is normal;
and the abnormality judging sub-module is used for representing that the power equipment corresponding to the temperature data set is abnormal if not.
8. The apparatus according to any one of claims 5-7, further comprising:
the terminal equipment identification acquisition module is used for acquiring a terminal equipment identification corresponding to the power equipment identification of the power equipment when the power equipment is abnormal;
and the abnormal early warning sending module is used for sending abnormal early warning to the terminal equipment corresponding to the terminal equipment identifier.
9. An electronic device, the device comprising a processor and a memory:
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to execute the electrical device abnormality determination method according to any one of claims 1 to 4 according to instructions in the program code.
10. A computer-readable storage medium storing a program code for executing the electrical equipment abnormality determination method according to any one of claims 1 to 4.
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