CN113848418A - Electric energy quality online detection method, device, equipment and storage medium - Google Patents
Electric energy quality online detection method, device, equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the invention discloses an electric energy quality online detection method, an electric energy quality online detection device and a storage medium, wherein the method comprises the following steps: periodically receiving the power quality parameters sent by each parameter detection module; confirming that each parameter detection module is a first parameter detection module or a second parameter detection module in the current period, wherein the first parameter detection module is a parameter detection module for which the corresponding power quality parameter is successfully received, and the second parameter detection module is a parameter detection module for which the corresponding power quality parameter is unsuccessfully received; and analyzing the power quality of the power quality parameters corresponding to the first parameter detection module, and analyzing the faults of the power network in the detection range of the second parameter detection module. The technical problem that the fault reason of a power grid cannot be analyzed quickly when the power quality parameters cannot be acquired by an existing power quality detection platform is solved.
Description
Technical Field
The embodiment of the application relates to the field of electric energy detection, in particular to an electric energy quality online detection method, device, equipment and storage medium.
Background
With the continuous development of science and technology and economy in China, various electric appliances are spread in living places of people. As the number of appliances used increases, the demand for quality of electric power is becoming higher and higher. The power quality refers to the quality of power in a power system, and ideally, the power should be a perfectly symmetrical sine wave, however, some factors may cause the waveform to deviate from the symmetrical sine wave, thereby causing the power quality problem.
In the prior art, generally, the power quality parameters in the power grid are collected, the power quality parameters are input into a power quality detection platform to analyze the quality of the power grid, but the function of the power quality detection platform is single, if the power quality parameters cannot be collected due to faults in a certain section of the power grid, the power quality detection platform cannot rapidly analyze the fault reasons of the power grid, so that a worker cannot rapidly determine the faults of the power grid, the power failure time is increased, and even the power failure of the power grid in a larger range is caused.
In summary, when the existing power quality detection platform cannot acquire power quality parameters, the technical problem that the fault reason of the power grid cannot be analyzed quickly exists.
Disclosure of Invention
The embodiment of the invention provides an electric energy quality online detection method, an electric energy quality online detection device and a storage medium, which are used for solving the technical problem that the fault reason of a power grid cannot be quickly analyzed when the electric energy quality parameters cannot be acquired by the conventional electric energy quality detection platform.
In a first aspect, an embodiment of the present invention provides an online power quality detection method for online power quality detection equipment, including the following steps:
periodically receiving the power quality parameters sent by each parameter detection module; the parameter detection modules are used for detecting power quality parameters in different ranges of a power network according to preset time intervals and sending the power quality parameters to the power quality on-line detection equipment;
confirming that each parameter detection module is a first parameter detection module or a second parameter detection module in the current period, wherein the first parameter detection module is a parameter detection module for which the corresponding power quality parameter is successfully received, and the second parameter detection module is a parameter detection module for which the corresponding power quality parameter is unsuccessfully received;
and analyzing the power quality of the power quality parameters corresponding to the first parameter detection module, and analyzing the faults of the power network in the detection range of the second parameter detection module.
Preferably, the power quality parameters include a voltage current parameter, a three-phase imbalance parameter, a frequency parameter, a harmonic parameter and a power parameter.
Preferably, the specific process of performing fault analysis on the power network within the detection range of the second parameter detection module is as follows:
and acquiring historical power quality parameters sent last time by the second parameter detection module, and performing fault analysis on the power network in the detection range of the second parameter detection module according to the historical power quality parameters.
Preferably, the power quality parameters further include environmental data of a position where the second parameter detection module is located and vibration data of the power network within a detection range of the second parameter detection module;
correspondingly, the specific process of performing fault analysis on the power network in the detection range of the second parameter detection module according to the historical power quality parameters is as follows:
and inputting the historical power quality parameters into a preset fault prediction model so that the fault prediction model outputs a fault analysis result of the power network in the detection range of the second parameter detection module.
Preferably, before the periodic reception of the power quality parameters sent by each parameter detection module, the method further includes the following steps:
and giving a unique identification number to each parameter detection module, acquiring the position information of each parameter detection module, and binding the identification number of each parameter detection module with the position information.
Preferably, the power quality parameters further include identification numbers of the parameter detection modules;
correspondingly, before performing fault analysis on the power network within the detection range of the second parameter detection module, the method further includes:
and acquiring the identification number of the second parameter detection module, and determining the position information of the second parameter detection module according to the identification number.
Preferably, after the position information of the second parameter detection module is determined according to the identification label, the method further includes the following steps:
and acquiring the power network video shot by the camera corresponding to the position information of the second parameter detection module in the time period from the last time when the second parameter detection module sends the power quality parameter to the beginning of the current period, so as to use the power network video for auxiliary analysis during fault analysis.
In a second aspect, an embodiment of the present invention further provides an online power quality detection apparatus, which is used for online power quality detection equipment, and includes:
the receiving module is used for periodically receiving the power quality parameters sent by each parameter detection module; the parameter detection modules are used for detecting power quality parameters in different ranges of a power network according to preset time intervals and sending the power quality parameters to the power quality on-line detection equipment;
the confirming module is used for confirming that each parameter detection module is a first parameter detection module or a second parameter detection module in the current period, the first parameter detection module is a parameter detection module for which the corresponding power quality parameter is successfully received, and the second parameter detection module is a parameter detection module for which the corresponding power quality parameter is unsuccessfully received;
and the analysis module is used for carrying out power quality analysis on the power quality parameters corresponding to the first parameter detection module and carrying out fault analysis on the power network in the detection range of the second parameter detection module.
In a third aspect, an embodiment of the present invention further provides an apparatus, where the apparatus includes a processor and a memory;
the memory is used for storing a computer program and transmitting the computer program to the processor;
the processor is configured to execute a method for online detection of power quality according to the first aspect according to instructions in the computer program.
In a fourth aspect, embodiments of the present invention provide a storage medium storing computer-executable instructions, which when executed by a computer processor, are configured to perform the online detection method of power quality according to the first aspect.
The embodiment of the present invention provides an online power quality detection method, which is used for online power quality detection equipment, and periodically receives power quality parameters sent by each parameter detection module; each parameter detection module is used for detecting power quality parameters in different ranges of the power network according to a preset time interval and sending the power quality parameters to power quality on-line detection equipment; confirming that each parameter detection module is a first parameter detection module or a second parameter detection module in the current period, wherein the first parameter detection module is a parameter detection module for which the corresponding power quality parameter is successfully received, and the second parameter detection module is a parameter detection module for which the corresponding power quality parameter is unsuccessfully received; and analyzing the power quality of the power quality parameters corresponding to the first parameter detection module, and analyzing the faults of the power network in the detection range of the second parameter detection module. According to the embodiment of the invention, when the power quality parameters sent by the parameter detection module cannot be received, the fault analysis is carried out on the power network range corresponding to the parameter detection module with the failed power quality parameter reception, so that the fault reason can be quickly analyzed when the power grid fails, the fault reason of the power grid can be quickly determined by a worker, the fault can be eliminated, the power failure time is shortened, the economic loss is reduced, and the user experience is improved.
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Fig. 1 is a schematic flow chart of an online power quality detection method according to an embodiment of the present invention.
Fig. 2 is a schematic flow chart of another online power quality detection method according to an embodiment of the present invention.
Fig. 3 is a schematic structural diagram of an online power quality detection device according to an embodiment of the present invention.
Fig. 4 is a schematic structural diagram of an apparatus according to an embodiment of the present invention.
Detailed Description
The following description and the annexed drawings set forth in detail certain illustrative embodiments of the application so as to enable those skilled in the art to practice them. The examples merely typify possible variations. Individual components and functions are optional unless explicitly required, and the sequence of operations may vary. Portions and features of some embodiments may be included in or substituted for those of others. The scope of the embodiments of the present application includes the full ambit of the claims, as well as all available equivalents of the claims. Embodiments may be referred to herein, individually or collectively, by the term "invention" merely for convenience and without intending to voluntarily limit the scope of this application to any single invention or inventive concept if more than one is in fact disclosed. Herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed. The embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. For the structures, products and the like disclosed by the embodiments, the description is relatively simple because the structures, the products and the like correspond to the parts disclosed by the embodiments, and the relevant parts can be just described by referring to the method part.
Example one
As shown in fig. 1, fig. 1 is a flowchart of an online power quality detection method according to an embodiment of the present invention. The power quality online detection method provided by the embodiment of the invention can be executed by power quality online detection equipment, the power quality online detection equipment can be realized in a software and/or hardware mode, and the power quality online detection equipment can be composed of two or more physical entities or one physical entity. For example, the electric energy quality online detection equipment can be equipment such as a computer, an upper computer, a server, a panel and the like.
The method comprises the following steps:
In the embodiment, the parameter detection module is installed at different positions of a cable of the power network, and periodically collects power quality parameters in the power network. Specifically, each parameter detection module detects the power quality parameters of the power network within the self detection range after reaching a preset time interval each time, and sends the acquired power quality parameters to the power quality online detection equipment through remote communication. It can be understood that in the present implementation, the duration of the preset time interval can be set according to actual needs, for example, in one embodiment, the duration of the preset time interval can be set to 1 min; in another embodiment, the duration of the preset time interval may be set to 30S. It is understood that, in the present embodiment, the duration of the preset time interval is not particularly limited.
In one embodiment, the power quality parameters include voltage current parameters, three-phase imbalance parameters, frequency parameters, harmonic parameters, and power parameters. The voltage and current parameters comprise effective voltage values and effective current values; the three-phase unbalance parameters comprise a voltage positive sequence value, a voltage negative sequence value, a current positive sequence value, a current negative sequence value, a voltage negative sequence unbalance degree, a current zero sequence unbalance degree and a voltage zero sequence unbalance degree; the harmonic parameters comprise voltage harmonic, current harmonic, voltage harmonic content, current harmonic content and harmonic power; the frequency parameter comprises a frequency effective value; the power parameters include active power, reactive power, apparent power, and power factor. Because the voltage and current parameters, the three-phase unbalance parameters, the frequency parameters, the harmonic parameters and the power parameters in the power quality parameters reflect the power quality to a certain extent, analysis can be subsequently performed on the basis of the power quality parameters to obtain a power quality analysis result of the power network.
102, confirming that each parameter detection module is a first parameter detection module or a second parameter detection module in the current period, the first parameter detection module is a parameter detection module for which the corresponding power quality parameter is successfully received, and the second parameter detection module is a parameter detection module for which the corresponding power quality parameter is unsuccessfully received.
In each detection period, the power quality online detection device judges whether the power quality parameters sent by each parameter detection module are received, the parameter detection module which can successfully receive the power quality parameters is determined as a first parameter detection module, and the parameter detection module which cannot successfully receive the power quality parameters is determined as a second parameter detection module, so that different processing measures are taken in the subsequent steps.
And 103, performing power quality analysis on the power quality parameters corresponding to the first parameter detection module, and performing fault analysis on the power network in the detection range of the second parameter detection module.
And for the first parameter detection modules, performing power quality analysis on the power quality parameters sent by each first parameter detection module to obtain a power quality detection result of the power network in the detection range of each first parameter detection module. For example, in one embodiment, the voltage and current parameters, the three-phase imbalance parameters, the frequency parameters, the harmonic parameters and the power parameters sent by each first parameter detection module are comprehensively analyzed, and a voltage phase angle, a current phase angle, a total harmonic distortion rate and the like are calculated, so as to determine the power quality of the power network in the detection range corresponding to the first parameter detection module. For the second parameter detection module, if the power quality parameter sent by the second parameter detection module cannot be received in the current period, it can be inferred that the power network in the detection range of the second parameter detection module fails to detect the power quality parameter in the power network, so that the power network in the detection range of the second parameter detection module needs to be subjected to fault analysis to determine the cause of the fault. In one embodiment, the historical power quality parameter sent last time by the second parameter detection module may be acquired, the historical power quality parameter is input into a fault prediction model trained in advance, and a fault prediction result of the power network is output through the fault prediction model, so that the cause of the fault is determined.
The embodiment of the present invention provides an online power quality detection method, which is used for online power quality detection equipment, and periodically receives power quality parameters sent by each parameter detection module; each parameter detection module is used for detecting power quality parameters in different ranges of the power network according to a preset time interval and sending the power quality parameters to power quality on-line detection equipment; confirming that each parameter detection module is a first parameter detection module or a second parameter detection module in the current period, wherein the first parameter detection module is a parameter detection module for which the corresponding power quality parameter is successfully received, and the second parameter detection module is a parameter detection module for which the corresponding power quality parameter is unsuccessfully received; and analyzing the power quality of the power quality parameters corresponding to the first parameter detection module, and analyzing the faults of the power network in the detection range of the second parameter detection module. According to the embodiment of the invention, when the power quality parameters sent by the parameter detection module cannot be received, the fault analysis is carried out on the power network range corresponding to the parameter detection module which fails to receive, so that the fault reason can be rapidly analyzed when the power grid fails, the fault reason of the power grid can be rapidly determined by a worker, the fault is investigated, the power failure time is shortened, the economic loss is reduced, and the user experience is improved.
Example two
As shown in fig. 2, fig. 2 is a flowchart of another online power quality detection method according to an embodiment of the present invention, where the online power quality detection method is used for an online power quality detection device, and includes the following steps:
step 201, periodically receiving power quality parameters sent by each parameter detection module; each parameter detection module is used for detecting the power quality parameters in different ranges of the power network according to a preset time interval and sending the power quality parameters to the power quality on-line detection equipment.
In the current period, for the second parameter detection module with failed reception of the power quality parameters, historical power quality parameters sent last time by the second parameter detection module are obtained, and on the basis of the historical power quality parameters sent last time, fault analysis is performed on the power network in the detection range of the second parameter detection module, so that the reason of the fault occurrence is judged.
On the basis of the above embodiment, the power quality parameter further includes environmental data of a location where the second parameter detection module is located and vibration data of the power network within a detection range of the second parameter detection module.
It should be further noted that the power quality parameter further includes environmental data of a location where the second parameter detection module is located and vibration data of the power network within a detection range of the second parameter detection module. Wherein the environmental data includes temperature data, wind speed data, and humidity data. It can be understood that severe environment can greatly threaten power equipment in a power network, even cause power equipment failure and the like, for example, the occurrence of accidents such as insulator string breakage and landing or pillar insulator breakage due to overlarge wind speed, tripping due to rainwater infiltration into a circuit breaker control mechanism, secondary circuit damp short circuit, relay protection or circuit breaker error tripping due to overhigh air humidity and the like of a high-voltage circuit breaker terminal box, a control box and the like can be caused. Therefore, the influence of the environmental data on the power network needs to be considered, it can be understood that the environmental data can be acquired by setting devices such as a temperature sensor, a humidity sensor, and an anemometer, and the specific acquisition mode of the environmental data is not limited in this embodiment. The vibration data is the vibration data of the cable in the power network within the detection range of the second parameter detection module. The vibration on the cable may cause resonance, which affects the contacts on the cable and causes failure. Therefore, there is a need to simultaneously collect vibration data of the power network.
Correspondingly, the specific process of performing fault analysis on the power network in the detection range of the second parameter detection module according to the historical power quality parameters is as follows:
and inputting the historical power quality parameters into a preset fault prediction model so that the fault prediction model is input into a fault analysis result of the power network in the detection range of the second parameter detection module.
In this embodiment, the historical power quality parameters last sent by the second power parameter detection module are input into a preset fault prediction model, and the fault prediction model analyzes the historical power quality parameters. In this embodiment, the fault prediction model is trained based on a BP neural network model. Specifically, firstly, a training set of a BP neural network model is constructed, a first historical electric energy quality parameter of the power network when a fault occurs historically is obtained, a fault type is marked on the first historical electric energy quality parameter, and the training set is obtained after marking is completed. And then, training the BP neural network model by taking the training set as input and the fault type as output until the preset requirement is met, thereby obtaining a trained fault prediction model. Illustratively, when the identification accuracy of the BP neural network model reaches a set threshold, it is determined that the corresponding fault prediction model is trained, and the historical power quality parameters are input into the fault prediction model, so as to output the type of the fault.
On the basis of the above embodiment, before periodically receiving the power quality parameters sent by each parameter detection module, the method further includes the following steps:
and giving a unique identification number to each parameter detection module, acquiring the position information of each parameter detection module, and binding the identification number of each parameter detection module with the position information.
Before receiving the power quality parameters sent by each parameter detection module, each parameter detection module is endowed with a unique identification number, and the identification number is a unique certificate for distinguishing different parameter detection modules, so that the corresponding parameter detection module can be identified through the identification number. And then, acquiring the position information of each parameter detection module from the power network server, and binding the identification number and the position information of each parameter detection module.
On the basis of the embodiment, the power quality parameters further comprise identification numbers of the parameter detection modules;
correspondingly, before performing fault analysis on the power network in the detection range of the second parameter detection module, the method further includes:
and acquiring the identification number of the second parameter detection module, and determining the position information of the second parameter detection module according to the identification number.
In this embodiment, the historical power quality parameters further include an identifier number of the second parameter detection module, after the historical power quality parameters are obtained, the identifier number of the second parameter detection module is extracted from the historical power quality parameters, and then, according to the identifier number of the second parameter detection module, the position information of the second parameter detection module in the power network can be determined.
On the basis of the above embodiment, after determining the location information of the second parameter detection module according to the identification label, the method further includes the following steps:
and acquiring the power network video shot by the camera corresponding to the position information of the second parameter detection module in the time period from the last sending of the power quality parameter by the second parameter detection module to the beginning of the current period, so as to perform auxiliary analysis by using the power network video during fault analysis.
After the position information of the second parameter detection module is determined, the power network video shot by the camera corresponding to the position information of the second parameter detection module in the time period from the last time when the second parameter detection module sends the power quality parameter to the beginning of the current cycle, namely in the time period when the fault occurs, can be obtained. It is understood that the power network video is a monitoring video for shooting the cable of the power network and the power equipment on the cable, so that when fault analysis is performed, auxiliary analysis can be performed by using the power network video. For example, the condition of an insulator on the cable, whether foreign matters exist on the cable, whether the cable receives external force impact and the like can be observed according to the power network video, so that after the fault type is output by the fault prediction model, the power network video is used for auxiliary analysis, and the worker can further determine the fault of the power network conveniently.
As described above, in the embodiment of the present invention, when the power quality parameter sent by the parameter detection module cannot be received, the fault analysis is performed on the power network range corresponding to the parameter detection module that fails to receive, so that the fault cause can be quickly analyzed when a certain section of power grid fails, so that a worker can quickly determine the fault cause of the power grid, troubleshoot the fault, reduce the power outage duration, reduce the economic loss, and improve the user experience.
EXAMPLE III
As shown in fig. 3, fig. 3 is a schematic structural diagram of an online power quality detection device according to an embodiment of the present invention, where the online power quality detection device is used for an online power quality detection device, and includes:
the receiving module 301 is configured to periodically receive the power quality parameters sent by each parameter detection module; each parameter detection module is used for detecting the power quality parameters in different ranges of the power network according to a preset time interval and sending the power quality parameters to the power quality on-line detection equipment.
The confirming module 302 is configured to confirm that each parameter detection module in the current cycle is a first parameter detection module or a second parameter detection module, the first parameter detection module is a parameter detection module for which the corresponding power quality parameter is successfully received, and the second parameter detection module is a parameter detection module for which the corresponding power quality parameter is unsuccessfully received.
The analysis module 303 is configured to perform power quality analysis on the power quality parameter corresponding to the first parameter detection module, and perform fault analysis on the power network within the detection range of the second parameter detection module.
On the basis of the above embodiments, the power quality parameters include a voltage current parameter, a three-phase imbalance parameter, a frequency parameter, a harmonic parameter, and a power parameter.
On the basis of the foregoing embodiment, the specific process of the analysis module 303 for performing fault analysis on the power network in the detection range detected by the second parameter detection module is as follows:
the power network fault analysis module is used for acquiring historical power quality parameters sent last time by the second parameter detection module and carrying out fault analysis on the power network in the detection range of the second parameter detection module according to the historical power quality parameters.
On the basis of the embodiment, the power quality parameters further comprise environmental data of the position of the second parameter detection module and vibration data of the power network in the detection range of the second parameter detection module;
correspondingly, the specific process of the analysis module 303 for performing fault analysis on the power network in the detection range of the second parameter detection module according to the historical power quality parameters is as follows:
and the fault prediction module is used for inputting the historical power quality parameters into a preset fault prediction model so as to input the fault analysis result of the power network in the detection range of the second parameter detection module.
On the basis of the above embodiment, the system further includes a data binding module, configured to assign a unique identifier number to each parameter detection module before periodically receiving the power quality parameter sent by each parameter detection module, obtain location information of each parameter detection module, and bind the identifier number and the location information of each parameter detection module.
On the basis of the embodiment, the power quality parameters further comprise identification numbers of the parameter detection modules;
correspondingly, the system also comprises a position acquisition module, which is used for acquiring the identification number of the second parameter detection module before the fault analysis is carried out on the power network in the detection range of the second parameter detection module, and determining the position information of the second parameter detection module according to the identification number.
On the basis of the above embodiment, the system further includes a video acquisition module, configured to, after determining the position information of the second parameter detection module according to the identification label, acquire a power grid network video shot by a camera corresponding to the position information of the second parameter detection module in a time period from when the second parameter detection module last sent the power quality parameter to when the current cycle starts, so as to perform auxiliary analysis by using the power grid network video when performing fault analysis.
Example four
The present embodiment also provides an apparatus, as shown in fig. 4, an apparatus 40, which includes a processor 400 and a memory 401;
the memory 401 is configured to store a computer program 402 and to transmit the computer program 402 to the processor;
the processor 400 is configured to execute the steps in one of the above-described embodiments of the power quality on-line detection method according to the instructions in the computer program 402.
Illustratively, the computer program 402 may be partitioned into one or more modules/units, which are stored in the memory 401 and executed by the processor 400 to accomplish the present application. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program 402 in the apparatus 40.
The device 40 may be a computing device such as a desktop computer, a notebook, a palm top computer, and a cloud server. The apparatus may include, but is not limited to, a processor 400, a memory 401. Those skilled in the art will appreciate that fig. 4 is merely an example of a device 40 and does not constitute a limitation of device 40 and may include more or fewer components than shown, or some components in combination, or different components, e.g., the device may also include input-output devices, network access devices, buses, etc.
The Processor 400 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable gate array (FPGA) or other Programmable logic device, discrete gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 401 may be an internal storage unit of the device 40, such as a hard disk or a memory of the device 40. The memory 401 may also be an external storage device of the device 40, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, provided on the device 40. Further, the memory 401 may also include both an internal storage unit and an external storage device of the device 40. The memory 401 is used for storing the computer program and other programs and data required by the device. The memory 401 may also be used to temporarily store data that has been output or is to be output.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of 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 computer programs.
Example four
Embodiments of the present invention also provide a storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform a method for online detection of power quality, the method comprising the steps of:
periodically receiving the power quality parameters sent by each parameter detection module; the parameter detection modules are used for detecting power quality parameters in different ranges of a power network according to preset time intervals and sending the power quality parameters to the power quality on-line detection equipment;
confirming that each parameter detection module is a first parameter detection module or a second parameter detection module in the current period, wherein the first parameter detection module is a parameter detection module for which the corresponding power quality parameter is successfully received, and the second parameter detection module is a parameter detection module for which the corresponding power quality parameter is unsuccessfully received;
and analyzing the power quality of the power quality parameters corresponding to the first parameter detection module, and analyzing the faults of the power network in the detection range of the second parameter detection module.
It should be noted that the foregoing is only a preferred embodiment of the present invention and the technical principles applied. Those skilled in the art will appreciate that the embodiments of the present invention are not limited to the specific embodiments described herein, and that various obvious changes, adaptations, and substitutions are possible, without departing from the scope of the embodiments of the present invention. Therefore, although the embodiments of the present invention have been described in more detail through the above embodiments, the embodiments of the present invention are not limited to the above embodiments, and many other equivalent embodiments may be included without departing from the concept of the embodiments of the present invention, and the scope of the embodiments of the present invention is determined by the scope of the appended claims.
Claims (10)
1. The method for detecting the power quality on line is characterized by being used for a device for detecting the power quality on line, and comprising the following steps of:
periodically receiving the power quality parameters sent by each parameter detection module; the parameter detection modules are used for detecting power quality parameters in different ranges of a power network according to preset time intervals and sending the power quality parameters to the power quality on-line detection equipment;
confirming that each parameter detection module is a first parameter detection module or a second parameter detection module in the current period, wherein the first parameter detection module is a parameter detection module for which the corresponding power quality parameter is successfully received, and the second parameter detection module is a parameter detection module for which the corresponding power quality parameter is unsuccessfully received;
and analyzing the power quality of the power quality parameters corresponding to the first parameter detection module, and analyzing the faults of the power network in the detection range of the second parameter detection module.
2. The on-line power quality detection method according to claim 1, wherein the power quality parameters include a voltage current parameter, a three-phase imbalance parameter, a frequency parameter, a harmonic parameter and a power parameter.
3. The method according to claim 2, wherein the specific process of analyzing the fault of the power network within the detection range of the second parameter detection module is as follows:
and acquiring historical power quality parameters sent last time by the second parameter detection module, and performing fault analysis on the power network in the detection range of the second parameter detection module according to the historical power quality parameters.
4. The online electric energy quality detection method according to claim 3, wherein the electric energy quality parameters further include environmental data of a position where the second parameter detection module is located and vibration data of the power network within a detection range of the second parameter detection module;
correspondingly, the specific process of performing fault analysis on the power network in the detection range of the second parameter detection module according to the historical power quality parameters is as follows:
and inputting the historical power quality parameters into a preset fault prediction model so that the fault prediction model outputs a fault analysis result of the power network in the detection range of the second parameter detection module.
5. The method according to claim 1, wherein before the periodic reception of the power quality parameters sent by each parameter detection module, the method further comprises the following steps:
and giving a unique identification number to each parameter detection module, acquiring the position information of each parameter detection module, and binding the identification number of each parameter detection module with the position information.
6. The on-line power quality detection method according to claim 5, wherein the power quality parameters further include identification numbers of the respective parameter detection modules;
correspondingly, before performing fault analysis on the power network within the detection range of the second parameter detection module, the method further includes:
and acquiring the identification number of the second parameter detection module, and determining the position information of the second parameter detection module according to the identification number.
7. The method according to claim 6, wherein after determining the location information of the second parameter detection module according to the identification label, the method further comprises the following steps:
and acquiring the power network video shot by the camera corresponding to the position information of the second parameter detection module in the time period from the last time when the second parameter detection module sends the power quality parameter to the beginning of the current period, so as to use the power network video for auxiliary analysis during fault analysis.
8. The utility model provides an online detection device of power quality for online detection equipment of power quality, its characterized in that includes:
the receiving module is used for periodically receiving the power quality parameters sent by each parameter detection module; the parameter detection modules are used for detecting power quality parameters in different ranges of a power network according to preset time intervals and sending the power quality parameters to the power quality on-line detection equipment;
the confirming module is used for confirming that each parameter detection module is a first parameter detection module or a second parameter detection module in the current period, the first parameter detection module is a parameter detection module for which the corresponding power quality parameter is successfully received, and the second parameter detection module is a parameter detection module for which the corresponding power quality parameter is unsuccessfully received;
and the analysis module is used for carrying out power quality analysis on the power quality parameters corresponding to the first parameter detection module and carrying out fault analysis on the power network in the detection range of the second parameter detection module.
9. An apparatus, comprising a processor and a memory;
the memory is used for storing a computer program and transmitting the computer program to the processor;
the processor is used for executing the electric energy quality online detection method according to any one of claims 1-7 according to instructions in the computer program.
10. A storage medium storing computer-executable instructions for performing the online power quality detection method of any one of claims 1-7 when executed by a computer processor.
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