CN112305489A - Method, device and equipment for detecting abnormal voltage fluctuation and storage medium - Google Patents
Method, device and equipment for detecting abnormal voltage fluctuation and storage medium Download PDFInfo
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Abstract
The application provides a method, a device, equipment and a storage medium for detecting abnormal voltage fluctuation, and relates to the technical field of monitoring of the running state of an electric energy metering device, so that the running reliability and stability of the electric energy metering device are improved. The method comprises the following steps: collecting a first alternating current voltage value of a user electric energy meter; collecting a second alternating current voltage value of the user electric energy meter, wherein the first alternating current voltage value and the second alternating current voltage value are voltage values collected at adjacent time points; calculating the similarity between the first alternating voltage value and the second alternating voltage value; and detecting voltage fluctuation abnormity according to the similarity. According to the method, the Euclidean distance between voltages is calculated according to the measured secondary voltages collected at two adjacent time points, the abnormal fluctuation of the secondary voltage of the measuring device is monitored according to the calculated Euclidean distance, the running state of the measuring device can be monitored by utilizing the fine micro-voltage fluctuation, and the sensitivity of voltage fluctuation abnormal detection is improved.
Description
Technical Field
The application relates to the technical field of monitoring of running states of electric energy metering devices, in particular to a method, a device, equipment and a storage medium for detecting abnormal voltage fluctuation.
Background
The electric energy metering device plays a role in recording the actual condition of electricity utilization of electric power facilities and providing a basis for electricity fee collection and line loss calculation in the electric power device, and is an important component in the production of electric power enterprises.
In actual production operation, the reliable and stable operation state of the electric energy metering device directly influences the correctness and the fairness of electric energy metering and relates to the economic benefits of both power supply enterprises and electricity utilization customers. In order to establish a good social image of an enterprise, continuously improve the high-quality service level of the enterprise and avoid economic disputes, the operation condition of the electric energy metering device needs to be monitored in a normalized mode, metering faults are found and processed in time, and losses of both power supply and power utilization parties are reduced to the minimum.
The functions of carrying out normalized monitoring on the running condition of the electric energy metering device remotely through a digital communication technology, replacing manpower to carry out basic data analysis, screening and the like are gradually changed into a new intelligent operation and maintenance development mode, and meanwhile, the method is also a basic guarantee for power supply enterprises to face future intelligent electric power marketing work.
However, there is no monitoring scheme for monitoring the abnormal fluctuation of the secondary voltage measured by the electric energy measuring device at present, only manual screening of excel documents of the electric energy collection data of a single derived user is available, and the measuring mode and the wiring mode of the measuring device of the user need to be distinguished in the process of screening the data, so that the method has certain limitations, the efficiency is low, and the sensitivity for monitoring the abnormal fluctuation of the secondary voltage measured is not high.
Disclosure of Invention
The embodiment of the application provides a method, a device and equipment for detecting abnormal voltage fluctuation and a computer storage medium, which are used for improving the sensitivity of monitoring the abnormal fluctuation of secondary voltage measurement.
In a first aspect of the present application, a method for detecting abnormal voltage fluctuation is provided, including:
collecting a first alternating current voltage value of a user electric energy meter;
collecting a second alternating current voltage value of the user electric energy meter, wherein the first alternating current voltage value and the second alternating current voltage value are voltage values collected at adjacent time points;
calculating the similarity between the first alternating voltage value and the second alternating voltage value;
and detecting voltage fluctuation abnormity according to the similarity.
In a possible implementation manner, before the calculating the similarity between the first voltage value and the second voltage value, the method further includes converting the ac voltage value into a three-dimensional coordinate point in a three-dimensional space coordinate system, and the specific converting step includes:
1) for a user with a metering device in a three-phase three-wire system: since the metering voltage is line voltage, the alternating-current sampling voltage of the electric energy meter is (Uab, Ucb), and the acquisition result is represented in the form of (U1, 0, U3) in the metering automation device, each time voltage acquisition value thereof is defined as a point d ═ (Ua, 0, Uc) in a three-dimensional coordinate system, and the metering voltage acquired at each time point of the device can be expressed as dn ═ (Uan, 0, Ucn);
2) aiming at a user with a metering device in a three-phase four-wire system: since the metering voltage adopts phase voltage, the alternating current sampling voltage of the electric energy meter is (Ua, Ub, Uc), and the acquisition result obtained in the metering automation device is (U1, U2, U3), each voltage acquisition value can also be defined as (Ua, Ub, Uc) at one point in the three-dimensional coordinate system, and the metering voltage acquired at each time point of the device can be expressed as dn (Uan, Ubn, Ucn);
3) aiming at single-phase users, namely common residential users: the measured voltage is single-phase voltage, the alternating-current sampling voltage of the electric energy meter is (Ua), the acquisition result obtained in the measurement automation device is (U1, 0, 0), and therefore, each voltage acquisition value can also be defined as a point d in a three-dimensional coordinate system as (Ua, 0, 0), and the measured voltage acquired by the device at each time point can be expressed as dn as (Uan, 0, 0).
In one possible implementation, the calculating a similarity between the first ac voltage value and the second ac voltage value includes:
the similarity between the two alternating voltage values is obtained by calculating the Euclidean distance between the two voltage values.
In a possible implementation manner, the performing, according to the similarity, voltage fluctuation anomaly detection includes:
setting different voltage fluctuation abnormal threshold values according to the type and the voltage grade of the metering device;
and judging whether the voltage fluctuation is abnormal or not according to the calculated relation between the similarity and the threshold value.
In a possible implementation manner, the performing, according to the similarity, voltage fluctuation anomaly detection includes:
collecting voltage values of n +1 time points every day according to a preset time interval, and calculating to obtain n distance values { d1，d2，d3……dnD, the result set D is { D ═ D }1，d2，d3……dnDrawing and generating a corresponding fluctuation line graph;
and monitoring the daily voltage fluctuation condition of the metering device according to the fluctuation line graph, and giving out an early warning if an abnormal condition occurs.
In a second aspect of the present application, there is provided a device for detecting abnormal voltage fluctuation, including:
the data acquisition module is used for acquiring a first alternating current voltage value of the user electric energy meter; collecting a second alternating current voltage value of the user electric energy meter, wherein the first alternating current voltage value and the second alternating current voltage value are voltage values collected at adjacent time points;
the calculating module is used for calculating the similarity between the first alternating voltage value and the second alternating voltage value;
and the abnormality detection module is used for detecting voltage fluctuation abnormality according to the similarity.
In a possible implementation manner, the apparatus further includes a conversion module, configured to convert the ac voltage value into a three-dimensional coordinate point in a three-dimensional spatial coordinate system, where the specific conversion step includes:
1) for a user with a metering device in a three-phase three-wire system: since the metering voltage is line voltage, the alternating-current sampling voltage of the electric energy meter is (Uab, Ucb), and the acquisition result is represented in the form of (U1, 0, U3) in the metering automation device, each time voltage acquisition value thereof is defined as a point d ═ (Ua, 0, Uc) in a three-dimensional coordinate system, and the metering voltage acquired at each time point of the device can be expressed as dn ═ (Uan, 0, Ucn);
2) aiming at a user with a metering device in a three-phase four-wire system: since the metering voltage adopts phase voltage, the alternating current sampling voltage of the electric energy meter is (Ua, Ub, Uc), and the acquisition result obtained in the metering automation device is (U1, U2, U3), each voltage acquisition value can also be defined as (Ua, Ub, Uc) at one point in the three-dimensional coordinate system, and the metering voltage acquired at each time point of the device can be expressed as dn (Uan, Ubn, Ucn);
3) aiming at single-phase users, namely common residential users: the measured voltage is single-phase voltage, the alternating-current sampling voltage of the electric energy meter is (Ua), the acquisition result obtained in the measurement automation device is (U1, 0, 0), and therefore, each voltage acquisition value can also be defined as a point d in a three-dimensional coordinate system as (Ua, 0, 0), and the measured voltage acquired by the device at each time point can be expressed as dn as (Uan, 0, 0).
In a possible implementation manner, the anomaly detection module is specifically configured to:
collecting voltage values of n +1 time points every day according to a preset time interval, and calculating to obtain n distance values { d1，d2，d3……dnD, the result set D is { D ═ D }1，d2，d3……dnIs plottedGenerating a corresponding fluctuation line graph;
and monitoring the daily voltage fluctuation condition of the metering device according to the fluctuation line graph, and giving out an early warning if an abnormal condition occurs.
In a third aspect of the present application, there is provided a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the method of the first aspect and any one of the possible embodiments when executing the program.
In a fourth aspect of the present application, a computer-readable storage medium is provided, which stores computer instructions that, when executed on a computer, cause the computer to perform the method according to the first aspect and any one of the possible embodiments.
Due to the adoption of the technical scheme, the embodiment of the application has at least the following technical effects:
1) the technical scheme breaks through the limitation that the metering modes and the device wiring modes need to be classified firstly and then data screening is carried out when the traditional manual monitoring is carried out, and is widely suitable for monitoring the abnormal voltage fluctuation of various metering devices;
2) according to the technical scheme, the Euclidean distance between voltages is calculated according to the metering secondary voltages collected at two adjacent time points, the abnormal fluctuation of the secondary voltages of the metering device is monitored according to the calculated Euclidean distance, the voltage fluctuation of one or even two bits behind a decimal point can be effectively monitored by aiming at the three-phase metering device, so that the running state monitoring of the metering device is carried out by utilizing the fine micro voltage fluctuation, and the sensitivity to the metering secondary voltage fluctuation is higher.
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Fig. 1 is a diagram illustrating an example of a scenario provided in an embodiment of the present application;
fig. 2 is a schematic process diagram of a voltage fluctuation anomaly detection method according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a voltage fluctuation anomaly detection device according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a computer device according to an embodiment of the present application.
Detailed Description
In order to better understand the technical solutions provided by the embodiments of the present application, the following detailed description is made with reference to the drawings and specific embodiments.
In order to facilitate those skilled in the art to better understand the technical solutions of the present application, the following description refers to the technical terms of the present application.
Electrical primary equipment: the device can be directly used for electrical equipment for producing, transforming, transporting, dredging, distributing and using electric energy. Such as transformers, busbars, transmission lines, lightning arresters, transformers, etc.
Electrical secondary equipment: the low-voltage electric equipment is used for monitoring, controlling, regulating and protecting the work of primary equipment and providing operation conditions or production command signals for operation and maintenance personnel. Such as electric energy meters, control switches, relays, meters, automatic devices, etc.
A voltage transformer: electrical primary equipment for isolating high voltage devices, converting high voltage to standard low voltage in proportion.
Three-phase users: dividing the system into a high-voltage three-phase user and a low-voltage three-phase user;
metering device wiring mode: the method comprises the following steps of (1) dividing the wiring modes into a single-phase wiring mode, a three-phase wiring mode and a three-phase four-wire wiring mode (wherein the low-voltage three-phase user wiring mode can only be the three-phase four-wire wiring mode);
phase voltage: the voltage between any one phase of the three-phase voltage and a zero phase;
line voltage: three phase voltage is the voltage between any two phases.
The following explains the concept of the present application.
The inventor designs a voltage fluctuation abnormity detection method, a device, equipment and a computer storage medium, because the current data can only be manually screened through derived single user electric energy acquisition data excel documents, and the metering mode and the metering device wiring form of a user need to be distinguished firstly when screening the data, the method has certain limitation, the efficiency is low, the sensitivity of monitoring the abnormal fluctuation of the secondary voltage is not high, in order to improve the detection universality and sensitivity, the embodiment of the application considers that the metering mode and the metering device wiring form need to be distinguished when carrying out abnormity judgment in the prior art, thereby increasing the calculation complexity, and therefore before judging the fluctuation condition of the voltage, the collected voltage value is firstly normalized, and the alternating voltage value is uniformly converted into a three-dimensional coordinate point under a three-dimensional coordinate system, different voltage fluctuation alarm range values are designed in advance according to the types and voltage grades of the metering devices, and after Euclidean distances between voltages are calculated according to metering secondary voltages collected at adjacent time points, the Euclidean distances can be compared with the preset voltage fluctuation alarm range values according to the calculated Euclidean distances, so that the abnormal fluctuation conditions of the secondary voltages of the metering devices are monitored, the application range of the detection method is widened, the calculation complexity is reduced, the running state of the metering devices can be monitored by utilizing fine micro voltage fluctuation, and the sensitivity of voltage fluctuation abnormal detection is improved.
In order to more clearly understand the design idea of the present application, an application scenario of the embodiment of the present application is described below as an example.
Fig. 1 is a schematic diagram of an application scenario of the voltage abnormal fluctuation detection method according to an embodiment of the present application, where the application scenario includes at least one electrical primary device 110 and an electrical secondary device 220, and the abnormality detection device 330 collects a voltage value through a collection device installed on the electrical secondary device 220 to complete abnormality detection.
In the application scenario of the embodiment of the present application, the anomaly detection device 330 and the electrical secondary device 220 are in communication connection via a network, which may be a local area network, a wide area network, or the like. The abnormality detection device 330 may be a portable device (e.g., a mobile phone, a tablet, a notebook computer, a personal digital assistant, etc.), or may be a server, a personal computer, etc.
The method for detecting abnormal voltage fluctuation provided by the embodiment of the present application is described below with reference to the application scenario shown in fig. 1.
The embodiment of the application discloses a voltage abnormal fluctuation detection method, and as shown in fig. 2, provides a flow chart of the voltage abnormal fluctuation detection method, and specifically includes the following steps:
step 1, collecting a first alternating current voltage value of a user electric energy meter.
Specifically, the alternating voltage value measured by the electric energy metering device of the user is collected at the first moment through the collecting device. This metering device can divide into different types, to the mode of connection of multiple difference, can divide into three big types of users: three-phase three-wire system users, three-phase four-wire system users, and single-phase users (ordinary residential users). Three different forms of ac voltage data can be collected from the three types of users' electric energy meters:
1) for a user with a metering device in a three-phase three-wire system: the metering voltage adopts line voltage, and the alternating current sampling voltage of the electric energy meter is (Uab, Ucb);
2) aiming at a user with a metering device in a three-phase four-wire system: because the metering voltage adopts phase voltage, the alternating current sampling voltage of the electric energy meter is (Ua, Ub, Uc);
3) aiming at single-phase users, namely common residential users: the metering voltage adopts single-phase voltage, and the alternating-current sampling voltage of the electric energy meter is (Ua).
And 2, acquiring a second alternating current voltage value of the user electric energy meter, wherein the first alternating current voltage value and the second alternating current voltage value are voltage values acquired at adjacent time points.
Specifically, in order to detect the fluctuation of the voltage, it is necessary to acquire the voltage value of the voltmeter again at a second time adjacent to the first time. The collection mode and the collection data form are similar to those of the first time, and are not described herein again.
And 3, calculating the similarity between the first alternating voltage value and the second alternating voltage value.
As an embodiment, in order to calculate the fluctuation range between different voltages more quickly and accurately, the voltage values collected in the foregoing steps at different times are uniformly converted into a three-dimensional coordinate system, so as to obtain a standard three-dimensional coordinate value, specifically:
1) for a user with a metering device in a three-phase three-wire system: the acquisition result is represented in the metering automation system in the form of (U1, 0, U3), so that each voltage acquisition value thereof is defined as a point d ═ (Ua, 0, Uc) in the three-dimensional coordinate system, and then the metering voltage acquired at each time point of the system can be expressed as dn ═ (Uan, Ubn, Ucn), wherein Ubn ═ 0;
2) aiming at a user with a metering device in a three-phase four-wire system: the acquired result in the metering automation system is (U1, U2, U3), so that each voltage acquisition value can also be defined as a point d ═ (Ua, Ub, Uc) in the three-dimensional coordinate system, and the metering voltage acquired at each time point of the system can be expressed as dn ═ (Uan, Ubn, Ucn);
3) aiming at single-phase users, namely common residential users: the acquisition result obtained in the metering automation system is (U1, 0, 0), and therefore, each voltage acquisition value thereof can also be defined as a point d in a three-dimensional coordinate system as (Ua, 0, 0), and the metering voltage acquired at each time point of the system can be expressed as dn as (Uan, Ubn, Ucn), wherein Ubn is 0 and Ucn is 0.
Under the condition that the uniform and standard alternating voltage value is obtained, the similarity between the voltage values at different moments can be further calculated, so that the fluctuation range is judged according to the similarity, and if the fluctuation range is large, the voltage value fluctuation is abnormal.
As an embodiment, the similarity metric values between the voltage values at different times can be obtained by calculating similarity metric methods such as euclidean distance, manhattan distance, cosine of included angle, and the like between the voltage values in the form of three-dimensional coordinate points.
The present invention describes the similarity calculation method in detail by taking the euclidean distance as an example.
The Euclidean distance calculation formula between secondary voltages acquired at the nth and the (n-1) th time points in two adjacent time points of the electric energy metering device is as follows:
In step 3, the fluctuation of the voltage values at different moments is measured according to the Euclidean distance, and whether the fluctuation is abnormal or not is judged according to the fluctuation. According to the formula, when the euclidean distance between every two adjacent voltages is calculated, the larger the obtained d value is, the larger the distance between the two groups of voltages is, that is, the smaller the voltage similarity between the two adjacent time points is, the larger the fluctuation is.
And 4, detecting voltage fluctuation abnormity according to the similarity.
Specifically, after the similarity metric value d is obtained, whether the fluctuation is abnormal needs to be determined according to a threshold preset by a user.
When the voltage fluctuation is monitored in a normalized mode, different voltage fluctuation alarm range values can be designed directly according to the type and the voltage grade of the metering device.
As an example, according to "power supply business rules" provision: under the normal condition of an electric power system, the allowable deviation of the power supply voltage supplied to a power receiving end of a user by a power supply enterprise is 10 kilovolts and the following three-phase power supply, the deviation is +/-7% of a rated value, and different voltage distance alarm threshold values can be set for different users:
1) high-voltage three-phase three-wire system user: standard voltage 100V, allowable deviation range: [93V, 107V ], when any phase voltage is calculated according to a formula and is at 93V or 107V, and d is 7, the situation that when the calculated value d is greater than 7, the fluctuation amplitude between the voltages is abnormal can be set, and the system automatically gives an early warning;
2) high-voltage three-phase four-wire system user: standard voltage 57.7V, allowable deviation range: [54V, 62V ]]D is calculated according to a formula when any one phase voltage is 54V or 62V54v＝3.7，d62VIf the calculated value d is larger than 3.7, the fluctuation range between the voltages is abnormal, and the system automatically warns;
3) low-voltage three-phase three-wire system user: standard voltage 220V, allowable deviation range: [205V, 235V ], if any phase voltage is 205V or 235V according to the formula, d is 15, then when the calculated value d is greater than 15, it can be set that the fluctuation amplitude between the voltages is abnormal, and the system automatically gives an early warning.
As an embodiment, when detecting abnormal voltage fluctuation, data analysis may be performed according to a period of daily data collection.
At present, the minimum acquisition period of an automatic metering system is 15min, 4 alternating current sampling data values are measured every hour, 24 × 4 is measured every day, 96 data values are measured every day, the euclidean distance 96-1 between adjacent time points can be sequentially calculated every day, 95 times, then n is {2,3,4 … … 96} in the formula, and the result set obtained by calculation is D ═ D { D ═1，d2，d3……d95}。
Calculating 95 distance values for 96 time points acquired every day, and setting a result set D to { D }1，d2，d3……d95And the page of the metering automation system is represented as a line graph in a visual mode, so that the metering voltage fluctuation condition of the metering device within 24 hours can be effectively monitored, the abnormal operation state of the metering device in the operation process can be timely found, and powerful data support is provided for the full-life operation cycle management and the online monitoring of the operation state of the metering device.
Referring to fig. 3, based on the same inventive concept, an embodiment of the present application provides a voltage fluctuation anomaly detection apparatus, including:
the data acquisition module is used for acquiring a first alternating current voltage value of the user electric energy meter; collecting a second alternating current voltage value of the user electric energy meter, wherein the first alternating current voltage value and the second alternating current voltage value are voltage values collected at adjacent time points;
the calculating module is used for calculating the similarity between the first alternating voltage value and the second alternating voltage value;
and the abnormality detection module is used for detecting voltage fluctuation abnormality according to the similarity.
As an embodiment, the apparatus further includes a conversion module, configured to convert the ac voltage value into a three-dimensional coordinate point in a three-dimensional spatial coordinate system, where the conversion step includes:
1) for a user with a metering device in a three-phase three-wire system: since the metering voltage is line voltage, the alternating-current sampling voltage of the electric energy meter is (Uab, Ucb), and the acquisition result is represented in the form of (U1, 0, U3) in the metering automation device, each time voltage acquisition value thereof is defined as a point d ═ (Ua, 0, Uc) in a three-dimensional coordinate system, and the metering voltage acquired at each time point of the device can be expressed as dn ═ (Uan, 0, Ucn);
2) aiming at a user with a metering device in a three-phase four-wire system: since the metering voltage adopts phase voltage, the alternating current sampling voltage of the electric energy meter is (Ua, Ub, Uc), and the acquisition result obtained in the metering automation device is (U1, U2, U3), each voltage acquisition value can also be defined as (Ua, Ub, Uc) at one point in the three-dimensional coordinate system, and the metering voltage acquired at each time point of the device can be expressed as dn (Uan, Ubn, Ucn);
3) aiming at single-phase users, namely common residential users: the measured voltage is single-phase voltage, the alternating-current sampling voltage of the electric energy meter is (Ua), the acquisition result obtained in the measurement automation device is (U1, 0, 0), and therefore, each voltage acquisition value can also be defined as a point d in a three-dimensional coordinate system as (Ua, 0, 0), and the measured voltage acquired by the device at each time point can be expressed as dn as (Uan, 0, 0).
As an embodiment, the anomaly detection module is specifically configured to:
collecting voltage values of n +1 time points every day according to a preset time interval, and calculating to obtain n distance values { d1，d2，d3……dnD, the result set D is { D ═ D }1，d2，d3……dnDrawing and generating a corresponding fluctuation line graph;
and monitoring the daily voltage fluctuation condition of the metering device according to the fluctuation line graph, and giving out an early warning if an abnormal condition occurs.
As an example, the apparatus in fig. 3 may be used to implement any of the voltage abnormal fluctuation detection methods discussed above.
An example of the above-mentioned means as hardware entities is a computer device as shown in fig. 4, which comprises a processor 1401, a storage medium 1402 and at least one external communication interface 1403; the processor 1401, the storage medium 1402, and the external communication interface 1403 are connected via a bus 1404.
The storage medium 1402 stores therein a computer program;
the processor 1401, when executing the computer program, implements the speech assessment method discussed above.
Fig. 4 illustrates an example of one processor 1401, but the number of processors 1401 is not limited in practice.
Among them, the storage medium 1402 may be a volatile storage medium (volatile memory), such as a random-access memory (RAM); storage medium 1402 may also be a non-volatile storage medium (non-volatile memory) such as, but not limited to, a read-only memory (rom), a flash memory (flash memory), a hard disk (HDD) or a solid-state drive (SSD), or storage medium 1402 may be any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. Storage medium 1402 may be a combination of the storage media described above.
Based on the same technical concept, the embodiment of the present application further provides a computer program product or a computer program, where the computer program product or the computer program includes computer instructions, and the computer instructions are stored in a computer-readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes a live broadcast control method provided by the embodiment of the application.
Based on the same technical concept, the embodiment of the present application also provides a computer-readable storage medium, which stores computer instructions that, when executed on a computer, cause the computer to execute the objective function determination method as discussed above.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, apparatus, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.
Claims (10)
1. A method for detecting abnormal voltage fluctuation, comprising:
collecting a first alternating current voltage value of a user electric energy meter;
collecting a second alternating current voltage value of the user electric energy meter, wherein the first alternating current voltage value and the second alternating current voltage value are voltage values collected at adjacent time points;
calculating a similarity between the first alternating voltage value and the second alternating voltage value;
and detecting voltage fluctuation abnormity according to the similarity.
2. The method of claim 1, wherein prior to calculating the similarity between the first ac voltage value and the second ac voltage value, further comprising converting the ac voltage value to a three-dimensional coordinate point in a three-dimensional spatial coordinate system, the converting step comprises:
1) for a user with a metering device in a three-phase three-wire system: since the metering voltage adopts a line voltage, the alternating-current sampling voltage of the electric energy meter is (Uab, Ucb), and the acquisition result shows a form of (U1, 0, U3) in the metering automation device, each voltage acquisition value of the metering automation device is defined as a point d ═ (Ua, 0, Uc) in a three-dimensional coordinate system, and the metering voltage acquired at each time point of the device is expressed as dn ═ (Uan, 0, Ucn);
2) aiming at a user with a metering device in a three-phase four-wire system: because the metering voltage adopts phase voltage, the alternating current sampling voltage of the electric energy meter is (Ua, Ub, Uc), the acquisition result obtained in the metering automation device is (U1, U2, U3), and therefore, each voltage acquisition value is defined as a point d in a three-dimensional coordinate system as (Ua, Ub, Uc), and the metering voltage acquired by the device at each time point is expressed as dn as (Uan, Ubn, Ucn);
3) aiming at single-phase users, namely common residential users: the single-phase voltage is adopted as the measuring voltage, the alternating-current sampling voltage of the electric energy meter is (Ua), the acquisition result obtained in the measuring automation device is (U1, 0, 0), therefore, each voltage acquisition value is defined as a point d in a three-dimensional coordinate system as (Ua, 0, 0), and the measuring voltage acquired by the device at each time point is expressed as dn as (Uan, 0, 0).
3. The method of claim 1, wherein said calculating a similarity between said first ac voltage value and said second ac voltage value comprises:
the similarity between the two alternating voltage values is obtained by calculating the Euclidean distance between the two voltage values.
4. The method of claim 1, wherein the performing voltage fluctuation anomaly detection based on the similarity comprises:
setting different voltage fluctuation abnormal threshold values according to the type and the voltage grade of the metering device;
and judging whether the voltage fluctuation is abnormal or not according to the calculated relation between the similarity and the threshold value.
5. The method of claim 1, wherein the performing voltage fluctuation anomaly detection based on the similarity comprises:
collecting voltage values of n +1 time points every day according to a preset time interval, and calculating to obtain n distance values { d1，d2，d3……dn}，Set of results D ═ D1，d2，d3……dnDrawing and generating a corresponding fluctuation line graph;
and monitoring the daily voltage fluctuation condition of the metering device according to the fluctuation line graph, and giving out an early warning if an abnormal condition occurs.
6. A device for detecting abnormal fluctuation of voltage, comprising:
the data acquisition module is used for acquiring a first alternating current voltage value of the user electric energy meter; collecting a second alternating current voltage value of the user electric energy meter, wherein the first alternating current voltage value and the second alternating current voltage value are voltage values collected at adjacent time points;
the calculating module is used for calculating the similarity between the first alternating voltage value and the second alternating voltage value;
and the abnormality detection module is used for detecting voltage fluctuation abnormality according to the similarity.
7. The apparatus of claim 6, further comprising a conversion module for converting the ac voltage value to a three-dimensional coordinate point in a three-dimensional spatial coordinate system, the converting step comprising:
1) for a user with a metering device in a three-phase three-wire system: since the metering voltage adopts a line voltage, the alternating-current sampling voltage of the electric energy meter is (Uab, Ucb), and the acquisition result shows a form of (U1, 0, U3) in the metering automation device, each voltage acquisition value of the metering automation device is defined as a point d ═ (Ua, 0, Uc) in a three-dimensional coordinate system, and the metering voltage acquired at each time point of the device is expressed as dn ═ (Uan, 0, Ucn);
2) aiming at a user with a metering device in a three-phase four-wire system: because the metering voltage adopts phase voltage, the alternating current sampling voltage of the electric energy meter is (Ua, Ub, Uc), the acquisition result obtained in the metering automation device is (U1, U2, U3), and therefore, each voltage acquisition value is defined as a point d in a three-dimensional coordinate system as (Ua, Ub, Uc), and the metering voltage acquired by the device at each time point is expressed as dn as (Uan, Ubn, Ucn);
3) aiming at single-phase users, namely common residential users: the single-phase voltage is adopted as the measuring voltage, the alternating-current sampling voltage of the electric energy meter is (Ua), the acquisition result obtained in the measuring automation device is (U1, 0, 0), therefore, each voltage acquisition value is defined as a point d in a three-dimensional coordinate system as (Ua, 0, 0), and the measuring voltage acquired by the device at each time point is expressed as dn as (Uan, 0, 0).
8. The apparatus of claim 6, wherein the anomaly detection module is specifically configured to:
collecting voltage values of n +1 time points every day according to a preset time interval, and calculating to obtain n distance values { d1，d2，d3……dnD, the result set D is { D ═ D }1，d2，d3……dnDrawing and generating a corresponding fluctuation line graph;
and monitoring the daily voltage fluctuation condition of the metering device according to the fluctuation line graph, and giving out an early warning if an abnormal condition occurs.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the steps of the method of any of claims 1-5 are implemented by the processor when executing the computer program.
10. A computer-readable storage medium, comprising a stored computer program, wherein the computer program, when executed, controls an apparatus in which the computer-readable storage medium is located to perform the method of any of claims 1-5.
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