CN114594343A - Intelligent multifunctional on-line monitoring series device for distribution line and control method thereof - Google Patents
Intelligent multifunctional on-line monitoring series device for distribution line and control method thereof Download PDFInfo
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- 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
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/086—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution networks, i.e. with interconnected conductors
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- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
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- G01R31/08—Locating faults in cables, transmission lines, or networks
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- 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
- G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
- G01R31/52—Testing for short-circuits, leakage current or ground faults
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/50—Constructional details
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- H—ELECTRICITY
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- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/57—Mechanical or electrical details of cameras or camera modules specially adapted for being embedded in other devices
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- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
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Abstract
The invention discloses a method for realizing an intelligent multifunctional online monitoring series device of a distribution line, which comprises a distribution line operation state monitoring and fault distinguishing module, a distribution line corridor microclimate monitoring module, a distribution line corridor visual monitoring module and a distribution line body visual monitoring module. And intelligently sensing, and the power-assisted distribution network operation and maintenance personnel sense the abnormal working condition of the line in real time and guide the rush-repair personnel to rapidly and accurately rush to the site for fault treatment after the fault occurs.
Description
Technical Field
The invention belongs to the field of intelligent monitoring of distribution lines, and particularly relates to an intelligent multifunctional online monitoring series device for a distribution line and a control method thereof.
Background
The overhead line of the power distribution network has the characteristics of large quantity, wide distribution area, many branch lines, various line corridors, complex operation condition and the like. Currently, over 80% of blackouts are caused by distribution line faults. The overhead line of the distribution network is lack of effective monitoring and early warning means at present, and the early stage of the fault symptom is difficult to perceive; when the line has abnormal working conditions or various faults occur, the existing means is difficult to reliably and accurately judge the fault type and position the fault section, so that the distribution network has higher fault rate and longer first-aid repair time, which is particularly prominent in remote rural network areas. The current mainstream product of the distribution line on-line monitoring device is a distribution line fault indicator, and a part of the distribution line visual on-line monitoring device is arranged.
The existing distribution line fault indicator has a certain effect on the discrimination of distribution network single-phase grounding and short-circuit fault intervals, but has the defects of incapability of reliably filtering instantaneous faults, more false reports, poor reliability and the like; the visual online monitoring device of distribution lines if prevent that there is the function singleness in the fishing device, the price is too high not enough, is difficult to satisfy the complicated application demand of distribution network. The on-site urgent need is that a function is comprehensive and the configuration is nimble, simple to operate, high, the lower on-line monitoring device of cost of reliability, carries out the functional configuration according to actual demand, and the differentiation is deployed, satisfies the urgent demand of "transparent distribution network" construction under the intelligent power distribution network construction background.
Disclosure of Invention
This section is for the purpose of summarizing some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. In this section, as well as in the abstract and the title of the invention of this application, simplifications or omissions may be made to avoid obscuring the purpose of the section, the abstract and the title, and such simplifications or omissions are not intended to limit the scope of the invention.
The present invention has been made in view of the above-mentioned problems occurring in the conventional distribution line monitoring.
Therefore, one of the objectives of the present invention is to provide an intelligent multifunctional online monitoring series device for a power distribution line and a control method thereof, which can accurately acquire various data of the power distribution line including waveforms through setting a plurality of monitoring modules in the intelligent multifunctional online monitoring series device for the power distribution line, and implement early warning and real-time monitoring of the power distribution line based on artificial intelligence image recognition and calculation through AI algorithm, thereby improving the richness of monitoring functions, improving monitoring accuracy, avoiding false alarm, having high reliability, flexible configuration, convenient use and low cost, and meeting the requirements of intelligent power distribution network construction.
In order to solve the technical problems, the invention provides the following technical scheme:
the monitoring system comprises a distribution line operation state monitoring and fault distinguishing module, a distribution line corridor micrometeorological monitoring module, a distribution line corridor visual monitoring module and a distribution line body visual monitoring module; the distribution line running state monitoring and fault judging module is used for performing a fault recording judging function when a line has a ground fault or a short-circuit fault, uploading recording data to the distribution main station, and positioning a fault section by fault positioning research and judgment software deployed by the distribution main station; the power distribution line corridor microclimate monitoring module is used for monitoring the ambient temperature, humidity and wind speed of the power distribution line corridor; the visual monitoring module of the distribution line corridor is used for acquiring real-time pictures of the distribution line corridor by the all-weather camera and completing the monitoring of scene data of the distribution line corridor based on artificial intelligent image identification; the visual monitoring module of the distribution line body is based on an all-weather camera, is combined with the distribution line corridor micrometeorological monitoring module, and completes distribution line early warning and real-time monitoring through AI algorithm calculation; the distribution line operation state monitoring and fault judging module, the distribution line corridor microclimate monitoring module, the distribution line corridor visual monitoring module and the distribution line body visual monitoring module are independently deployed or used in combination between at least two modules.
Above-mentioned distribution lines running state monitoring and trouble differentiate module, distribution lines corridor micrometeorology monitoring module, the visual monitoring module in distribution lines body and the visual monitoring module in distribution lines corridor, both can make up the use and also can independently deploy, the cost is lower, can install with electricity, satisfy the diversified user demand under the complicated distribution networks environment, the device utilizes advanced technical means can accurately acquire all kinds of operating data including the distribution lines contains the wave form, the environmental data, line body image information and the peripheral image information of line corridor, realize the single-phase ground connection of distribution lines and the high reliability high accuracy location of short-circuit fault district section, distribution lines running state monitoring, the monitoring of distribution lines corridor micrometeorology, the visual monitoring in distribution lines corridor and the visual monitoring of line body.
The specific functions of the device comprise functions of high-reliability accurate positioning of a fault section of the power distribution network, load monitoring, harmonic wave monitoring, line temperature monitoring, line ice coating monitoring, line galloping monitoring, line corridor foreign matter invasion, fire monitoring, offline fishing monitoring and the like.
The invention discloses an intelligent multifunctional online monitoring series device of a distribution line, which comprises:
the first part, distribution lines running state monitoring and fault discrimination module and distribution lines corridor micrometeorology monitoring module contain 3 acquisition unit, and 1 collects the unit, external temperature humidity of 1 group and wind speed sensor.
The collection unit comprises low-power consumption MCU, high-efficient ability module of getting, voltage sensor, high accuracy current sampling module and low-power consumption communication module.
The collecting unit consists of a low-power-consumption MCU, a high-efficiency solar energy storage module, a low-power-consumption communication module, a timing module and a 4G communication module.
The line current monitoring, the voltage monitoring and the line temperature monitoring can be realized, and the monitoring data has the functions of reporting in a timing manner and responding to the calling. The fault diagnosis and diagnosis system has the function of high-precision fault recording when a line has a ground fault or a short-circuit fault, the recorded wave data can be uploaded to the self-distribution main station, fault section accurate positioning is carried out by fault positioning research and judgment software deployed from the self-distribution main station, and the research and judgment software deployed from the main station has the capability of distinguishing instantaneous single-phase ground faults and permanent single-phase ground faults.
The fault section accurate positioning system has the function of carrying out high-precision fault recording when a line has an earth fault or a short-circuit fault, the recording data can be uploaded to the self-distributed main station, fault positioning research and judgment software deployed from the self-distributed main station is used for accurately positioning a fault section, and the research and judgment software deployed from the main station has the capability of discriminating instantaneous single-phase earth faults and permanent single-phase earth faults.
The on-line monitoring series device can judge the abnormal operation condition of the line by the main station according to the current data and the temperature data of the line.
According to the line current data and the voltage data, the power stealing behavior can be judged by the main station.
Harmonic analysis may be performed by a harmonic analysis module deployed with the master station based on the line current waveform data.
According to humiture, wind speed sensor module, can be to the monitoring of distribution lines corridor ambient temperature, humidity and wind speed.
The data collected by the 3 collecting units are reported from the main station at regular time through the collecting unit, or the reporting is started when the fault occurs, and the data can be used as auxiliary information for line fault analysis.
The second part, the visual monitoring module in distribution lines corridor, its framework contains the AI treater, the camera, Linux operating system, 4G transmission module, and high-power can the module be constituteed of getting, and software work mainly lies in the AI framework and builds, and AI data training, low-power consumption are handled etc. can realize: foreign body invasion in a line corridor, fire monitoring and fishing monitoring under the line. According to the real-time picture of the line corridor acquired by the high-precision all-weather camera, the functions of line foreign matter invasion, fishing, fire recognition and the like are realized based on artificial intelligence image recognition. The self-owned master station can realize the functions of line foreign matter intrusion early warning, vegetation height early warning, fire alarm, fisher departure and the like according to the calculation result.
The third part, the visual monitoring module of distribution lines body, its framework contains the AI treater, the camera, Linux operating system, 4G transmission module, and high-power can the module of getting etc. constitutes, and software work mainly lies in the AI framework and builds, and AI data training, low-power consumption are handled etc. can realize: line icing monitoring, rainstorm monitoring, lightning monitoring and line galloping monitoring.
A method for an intelligent multifunctional online monitoring series device of a distribution line comprises the following specific functional operation steps that a distribution line running state monitoring and fault judging module carries out fault recording judgment when a line has a ground fault or a short-circuit fault:
s1, processing waveform data information, calculating abc phase waveform data and parameters, and processing line information based on topological relation;
s2, preprocessing, judging whether the number of the waveforms is larger than a preset number n, if not, outputting false alarm information, and if so, outputting waveform type identification;
s3, the main station is allocated to judge the abnormal operation condition of the line, the fault type identification distinguishes true and false faults according to specific parameters, and the gradual phase selection and section selection operation is carried out;
and S4, outputting the result, and outputting a fault phase, a fault line and a fault section.
As further described in the method of the distribution line intelligent multifunctional on-line monitoring series device of the present invention, the method of determining the abnormal operation condition of the line from the main station in step S3 is specifically as follows:
s301, providing abc three-phase current and temperature data by a fault indicator;
s302, based on the current and temperature data, corresponding current out-of-limit and temperature out-of-limit judgment is carried out,
s303, acquiring single-phase grounding occurrence data and interphase short circuit occurrence data by current out-of-limit, and acquiring a comprehensive current index by temperature out-of-limit;
s304, matching the reliability according to the single-phase grounding occurrence data and the interphase short circuit occurrence data;
s305, carrying out abnormal operation warning on the unsatisfied credibility matching data and the comprehensive current index data;
meanwhile, in the step S3, the fault type identification is performed, and the judgment of the transient single-phase earth fault and the permanent single-phase earth fault is completed by the research and judgment software equipped with the master station, wherein the specific judgment method is as follows;
judging instantaneous single-phase earth faults, namely judging that true fault waveforms exist in sequence, meeting the requirement of a transient fault input time threshold T1, and counting that the number of waveform faults meeting the requirement of instantaneous input in a system is larger than the number of steady-state faults;
and permanent single-phase earth faults are sequentially true fault waveforms, the steady-state fault input time threshold T2 is met, and the number of waveform faults meeting the steady-state input in the statistical system is larger than the number of instantaneous faults.
The method for the intelligent multifunctional online monitoring series device of the distribution line is further explained, and the harmonic analysis algorithm steps are carried out by a harmonic analysis module deployed from a main station according to line current waveform data, and the harmonic analysis is carried out after abc three-phase basic waveforms, cubic spline interpolation processing, window function processing and FFT conversion are provided by a fault indicator in sequence.
The method of the intelligent multifunctional online monitoring series device for the power distribution line is further explained, and the intelligent identification method of the visual monitoring module AI of the power distribution line corridor is as follows: sequentially inputting images, extracting linear segmentation features, calculating neural network features, comparing historical database features and outputting results;
the intelligent AI identification method of the visual distribution line body monitoring module specifically comprises the following steps: and sequentially inputting an image, extracting linear segmentation features, performing edge calculation, verifying an edge calculation result and outputting a result.
The invention has the beneficial effects that: by intelligently sensing the operation state and the line environment state of the overhead line of the power distribution network, the power distribution network operation and maintenance personnel can sense the abnormal working condition of the line in real time and guide the rush-repair personnel to rapidly and accurately rush to the site for processing the fault after the fault occurs. The distribution automation construction of the distribution network overhead line is facilitated to be carried out in a differentiated mode, the characteristic of 'blind adjustment' of the distribution network line in the past is changed, the state of the distribution network line is enabled to be 'transparent', the purposes that the line state is considerable, measurable, capable of early warning and reliable fault positioning are achieved, the distribution network overhead line is particularly suitable for agriculture and distribution network overhead lines, the operation and maintenance work efficiency can be remarkably improved, the power supply reliability is further improved, and good economic benefits and social benefits are achieved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise. Wherein:
fig. 1 is a block diagram of an intelligent multifunctional online monitoring series device for a distribution line according to an embodiment of the present invention.
Fig. 2-1 is a schematic functional structure diagram of a distribution line operation state monitoring and fault distinguishing module and a distribution line corridor micrometeorological monitoring module according to an embodiment of the present invention.
Fig. 2-2 is a flowchart of an algorithm for implementing the precise positioning of the fault section by positioning research and judgment software deployed from the main station according to the embodiment of the present invention.
Fig. 2-3 are block diagrams of algorithms for discriminating transient and permanent single-phase earth faults by deploying research and judgment software from a master station according to the embodiment of the invention.
Fig. 2-4 are flowcharts of harmonic analysis algorithms configured for harmonic analysis modules deployed by the master station according to the embodiment of the present invention.
Fig. 2-5 are algorithm flow charts for determining abnormal operation conditions of the line in the master station according to the embodiment of the present invention.
Fig. 3 is a schematic structural diagram of a module for realizing visual monitoring of a power distribution line corridor according to an embodiment of the present invention.
Fig. 4 is a schematic structural diagram of a module for realizing visual monitoring of a distribution line body according to an embodiment of the present invention.
Fig. 5 is a flow chart of an AI intelligent recognition algorithm of a visual monitoring module of a power distribution line corridor according to an embodiment of the present invention.
Fig. 6 is a flow chart of an AI intelligent recognition algorithm of a visual monitoring module of a power distribution line body according to an embodiment of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those specifically described and will be readily apparent to those of ordinary skill in the art without departing from the spirit of the present invention, and therefore the present invention is not limited to the specific embodiments disclosed below.
Furthermore, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
Referring to fig. 1-6, an embodiment of the present invention provides an intelligent multifunctional online monitoring series device for distribution lines and a method thereof. The monitoring system comprises a distribution line operation state monitoring and fault distinguishing module, a distribution line corridor micrometeorological monitoring module, a distribution line corridor visual monitoring module and a distribution line body visual monitoring module; the distribution line running state monitoring and fault judging module is used for performing a fault recording judging function when a line has a ground fault or a short-circuit fault, uploading recording data to the distribution main station, and positioning a fault section by fault positioning research and judgment software deployed by the distribution main station; the power distribution line corridor microclimate monitoring module is used for monitoring the ambient temperature, humidity and wind speed of the power distribution line corridor; the visual monitoring module of the distribution line corridor is used for acquiring real-time pictures of the distribution line corridor by the all-weather camera and completing the monitoring of scene data of the distribution line corridor based on artificial intelligent image identification; the visual monitoring module of the distribution line body is based on an all-weather camera, is combined with the distribution line corridor micrometeorological monitoring module, and completes distribution line early warning and real-time monitoring through AI algorithm calculation;
distribution lines running state monitoring and fault discrimination module, distribution lines corridor micrometeorological monitoring module, the visual monitoring module of distribution lines corridor and the visual monitoring module of distribution lines body independently deploy and use or the combination between two at least modules uses, and its structural frame is as shown in figure 1.
The invention discloses an intelligent multifunctional online monitoring series device of a distribution line, which comprises:
the first part, the distribution line running state monitoring and fault distinguishing module and the distribution line corridor micrometeorological monitoring module, the structural frame of which is shown in figure 2-1,
the acquisition unit is implemented as follows:
the MCU resource has the capacity of caching a certain data volume and the function of sampling the ADC in a chip.
The high-efficiency energy taking module is open and convenient to install on line, and the core energy taking material is not limited to high-permeability materials such as thin film alloy and silicon steel so as to realize high-efficiency energy taking on line.
The voltage sensor is not limited to the on-board PCB capacitance voltage division measurement method and the external PCB capacitance voltage division method for realizing voltage sampling.
The high-precision current sampling module is in an open type, is not limited to a PCB Rogowski coil and a silicon steel magnetic ring in structure, and realizes high-precision current sampling.
The low-power consumption communication module is based on a 470Mhz wireless transceiver chip, and realizes data and instruction transmission between the acquisition unit and the collection unit by adopting a timing transmitting and receiving algorithm.
The key components of the collecting unit are implemented as follows:
and the MCU resources have the capacity of caching a certain data volume.
The high-efficiency solar energy storage module is not limited to the use of a monocrystalline silicon solar panel matched with a lithium iron phosphate lithium battery for energy taking and storage, and the power supply requirement of equipment is maintained;
the low-power-consumption communication module is based on a 470Mhz wireless transceiving chip, and adopts a timing sending and receiving algorithm to realize data and instruction transmission between the acquisition unit and the collection unit;
the timing module is used for acquiring time reference sources of the unit and the collecting unit equipment, and is not limited to time service by using a GPS module or time service by using a Beidou module;
the 4G communication module adopts a 4G full-network communication module with a data transmission function.
The external temperature, humidity and wind speed sensor is suitable for an outdoor temperature, humidity sensor and a wind speed sensor, and the wind speed sensor adopts a mechanical pulse type sensor.
The flow of the algorithm for performing the fault section accurate positioning by the fault positioning research and judgment software deployed from the main station is shown in fig. 2-2.
S1, processing waveform data information, calculating abc phase waveform data and parameters, and processing line information based on topological relation;
s2, preprocessing, judging whether the number of the waveforms is larger than a preset number n, if the number of the waveforms is not larger than the preset number n, outputting false alarm information, and if the number of the waveforms is larger than the preset number n, outputting waveform type identification;
s3, the fault type identification is used for distinguishing true and false faults according to specific parameters and carrying out gradual phase selection and section selection operations;
and S4, outputting the result, and outputting a fault phase, a fault line and a fault section.
The block diagrams of the algorithm for realizing the transient single-phase earth fault and the permanent single-phase earth fault by the research and judgment software matched with the main station are shown in figures 2 to 3. Judging instantaneous single-phase earth faults, namely judging that true fault waveforms exist in sequence, meeting the requirement of a transient fault input time threshold T1, and counting that the number of waveform faults meeting the requirement of instantaneous input in a system is larger than the number of steady-state faults; and permanent single-phase earth faults are sequentially true fault waveforms, the steady-state fault input time threshold T2 is met, and the number of waveform faults meeting the steady-state input in the statistical system is larger than the number of instantaneous faults.
The flow of the harmonic analysis algorithm performed by the harmonic analysis module deployed from the main station according to the line current waveform data is shown in fig. 2-4. And providing an abc three-phase basic waveform, cubic spline interpolation processing, window function processing and FFT (fast Fourier transform) conversion by the fault indicator, and then carrying out harmonic analysis.
An algorithm flow for determining the abnormal operation condition of the line from the master station according to the line current data and the temperature data is shown in fig. 2-5.
S301, providing abc three-phase current and temperature data by a fault indicator;
s302, based on the current and temperature data, corresponding current out-of-limit and temperature out-of-limit judgment is carried out,
s303, acquiring single-phase grounding occurrence data and interphase short circuit occurrence data by current out-of-limit, and acquiring a comprehensive current index by temperature out-of-limit;
s304, matching the reliability according to the single-phase grounding occurrence data and the interphase short circuit occurrence data;
s305, carrying out abnormal operation alarm on the unsatisfied credibility matching data and the comprehensive current index data.
The functional structure of the visual monitoring module for the power distribution line corridor is schematically shown in fig. 3.
The AI processor is provided with an embedded neural network processor NPU, supports video coding and decoding, and is internally provided with an image recognition algorithm.
The camera adopts an industrial grade high-definition camera and supports timing photographing;
the 4G transmission module is not limited to a 4G full-network communication module;
the high-power energy-taking module is not limited to photovoltaic power supply matched with an energy storage battery;
the intelligent identification algorithm of the visual monitoring module AI of the distribution line corridor is described as follows: the camera acquires an image, and selects a hardware index of the camera according to the requirement, and relates to the detection range; and performing linear segmentation feature extraction on the input image, calculating neural network features, comparing the neural network features with the historical database features, and outputting a result. The flow chart is shown in fig. 5.
And the third part, namely the realization of the visual monitoring module of the distribution line body, is shown in the functional structure schematic diagram of fig. 4.
The AI processor is provided with an embedded neural network processor NPU, supports video coding and decoding and is internally provided with an image recognition algorithm.
The camera adopts an industrial grade high-definition camera and supports timing photographing;
the 4G transmission module is not limited to a 4G full-network communication module;
the high-power energy-taking module is not limited to photovoltaic power supply matched with an energy storage battery;
the intelligent identification algorithm of the visual monitoring module AI of the distribution line body is described as follows: the camera acquires an image, and selects a hardware index of the camera according to the requirement, and relates to the detection range; and performing linear segmentation feature extraction on the input image, performing edge calculation, verifying an edge calculation result and outputting a result. The flow chart is shown in fig. 6.
The following describes an application scenario of the present invention: this device can carry out the visual monitoring of all-weather intelligence to distribution network overhead line, and effective management threatens the hidden danger of line safety, is fit for installing in the easy district that sends out of external damage, and the district is crossed to circuit three, and the conflagration is easily sent out the district, easily covers the ice district, and the district is easily grown to passageway trees, and the district is easily sent out with other circuit dangers to difficult arrival district far away.
In conclusion, the power distribution network overhead line operation state and the line environment state are intelligently sensed, so that the power distribution network operation and maintenance personnel can sense the abnormal line working condition in real time and can guide the rush-repair personnel to rapidly and accurately rush to the site for fault treatment after the fault occurs. The distribution automation construction of the distribution network overhead line is facilitated to be carried out in a differentiated mode, the characteristic of 'blind adjustment' of the distribution network line in the past is changed, the state of the distribution network line is enabled to be 'transparent', the purposes that the line state is considerable, measurable, capable of early warning and reliable fault positioning are achieved, the distribution network overhead line is particularly suitable for agriculture and distribution network overhead lines, the operation and maintenance work efficiency can be remarkably improved, the power supply reliability is further improved, and good economic benefits and social benefits are achieved.
It should be noted that the above-mentioned embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, which should be covered by the claims of the present invention.
Claims (10)
1. An intelligent multifunctional online monitoring series device for a distribution line is characterized by comprising a distribution line running state monitoring and fault distinguishing module, a distribution line corridor micrometeorological monitoring module, a distribution line corridor visual monitoring module and a distribution line body visual monitoring module;
the distribution line running state monitoring and fault judging module is used for performing a fault recording judging function when a line has a ground fault or a short-circuit fault, uploading recording data to the distribution main station, and positioning a fault section by fault positioning research and judgment software deployed by the distribution main station;
the power distribution line corridor microclimate monitoring module is used for monitoring the ambient temperature, humidity and wind speed of the power distribution line corridor;
the visual monitoring module of the distribution line corridor is used for acquiring real-time pictures of the distribution line corridor by the all-weather camera and completing the monitoring of scene data of the distribution line corridor based on artificial intelligent image identification;
the visual monitoring module of the distribution line body is based on an all-weather camera, is combined with the distribution line corridor micrometeorological monitoring module, and completes distribution line early warning and real-time monitoring through AI algorithm calculation;
the distribution line operation state monitoring and fault judging module, the distribution line corridor microclimate monitoring module, the distribution line corridor visual monitoring module and the distribution line body visual monitoring module are independently deployed or used in combination between at least two modules.
2. The intelligent multifunctional online monitoring series device for the distribution line according to claim 1, wherein the distribution line operation state monitoring and fault distinguishing module and the distribution line corridor microclimate monitoring module comprise an acquisition unit, a collecting unit and an external temperature, humidity and wind speed sensor module;
the acquisition unit consists of an acquisition MCU chip, a slope molybdenum alloy energy-taking module, a high-precision current sensor and a voltage sensor;
the collecting unit is composed of a main control MCU chip, a solar energy collecting module, a timing module and a 4G communication module.
3. The distribution line intelligent multifunctional on-line monitoring series device of claim 2, wherein the on-line monitoring series device can judge the abnormal operation condition of the line by the distribution main station according to the current data and the temperature data of the line;
according to the line current data and the voltage data, the power stealing behavior can be judged by the main station;
according to the line current waveform data, harmonic analysis can be performed by a harmonic analysis module deployed by a main station;
according to the temperature, humidity and wind speed sensor module, the environmental temperature, humidity and wind speed of a power distribution line corridor can be monitored;
the data collected by the collecting unit is reported from the main station through the collecting unit at regular time, or the reporting is started when the fault occurs, and the data can be used as auxiliary information for line fault analysis.
4. The intelligent multifunctional online monitoring series device for the distribution line according to claim 1, wherein the visual monitoring module for the corridor of the distribution line comprises an AI processor, a camera, a Linux operating system and a 4G transmission module;
the field scene data of the distribution line corridor comprises line foreign matter invasion data, vegetation height data, fire scene data and fisher departure data, and the self-master station can finish line foreign matter invasion early warning, vegetation height early warning, fire warning and fisher departure according to a calculation result.
5. The intelligent multifunctional online monitoring series device for the distribution line according to claim 1, wherein the visual monitoring module for the distribution line body comprises an AI processor, a camera, a Linux operating system and a 4G transmission module;
cameras in the visual monitoring module of the distribution line corridor and the visual monitoring module of the distribution line body adopt industrial grade high-definition cameras to support timing photographing;
the visual monitoring module of distribution lines body passes through the little meteorological monitoring module of distribution lines corridor and accomplishes meteorological feature recognition, calls preset seasonal function module for line state real-time supervision and trouble auxiliary analysis.
6. The intelligent multi-functional online monitoring system of distribution lines of claim 5, wherein the seasonal function modules include an icing monitoring mode for winter calls, a rainstorm monitoring mode for spring and summer calls, and a lightning monitoring mode for four season calls.
7. The method for the distribution line intelligent multifunctional online monitoring series device based on any one of claims 1-6, characterized in that the function specific operation steps of the distribution line operation state monitoring and fault judging module for fault recording judgment when the line has a ground fault or a short-circuit fault are as follows:
s1, processing waveform data information, calculating abc phase waveform data and parameters, and processing line information based on topological relation;
s2, preprocessing, judging whether the number of the waveforms is larger than a preset number n, if the number of the waveforms is not larger than the preset number n, outputting false alarm information, and if the number of the waveforms is larger than the preset number n, outputting waveform type identification;
s3, the main station is allocated to judge the abnormal operation condition of the line, the fault type identification distinguishes true and false faults according to specific parameters, and the gradual phase selection and section selection operation is carried out;
and S4, outputting the result, and outputting the fault phase, the fault line and the fault section.
8. The method for an intelligent multifunctional online monitoring system for distribution lines as claimed in claim 7, wherein the method for determining abnormal operation condition of the line from the main station in step S3 is as follows:
s301, providing abc three-phase current and temperature data by a fault indicator;
s302, based on the current and temperature data, corresponding current out-of-limit and temperature out-of-limit judgment is carried out,
s303, acquiring single-phase grounding occurrence data and interphase short circuit occurrence data by current out-of-limit, and acquiring a comprehensive current index by temperature out-of-limit;
s304, matching the reliability according to the single-phase grounding occurrence data and the interphase short circuit occurrence data;
s305, carrying out abnormal operation warning on the unsatisfied credibility matching data and the comprehensive current index data;
meanwhile, in the step S3, the fault type identification is performed, and the judgment of the transient single-phase earth fault and the permanent single-phase earth fault is completed by the research and judgment software equipped with the master station, wherein the specific judgment method is as follows;
judging instantaneous single-phase earth faults, namely judging that true fault waveforms exist in sequence, meeting the requirement of a transient fault input time threshold T1, and counting that the number of waveform faults meeting the requirement of instantaneous input in a system is larger than the number of steady-state faults;
and permanent single-phase earth faults are sequentially true fault waveforms, the steady-state fault input time threshold T2 is met, and the number of waveform faults meeting the steady-state input in the statistical system is larger than the number of instantaneous faults.
9. The method of claim 7, wherein harmonic analysis algorithm steps are performed according to line current waveform data by a harmonic analysis module deployed from a master station, and the harmonic analysis is performed after abc three-phase basic waveform, cubic spline interpolation processing, window function processing and FFT conversion are provided by the fault indicator in sequence.
10. The method of claim 7, wherein the method for intelligently identifying the distribution line corridor visual monitoring module AI comprises the following steps:
sequentially inputting images, extracting linear segmentation features, calculating neural network features, comparing historical database features and outputting results;
the intelligent identification method of the visual monitoring module AI of the distribution line body specifically comprises the following steps:
and sequentially inputting an image, extracting linear segmentation features, performing edge calculation, verifying an edge calculation result and outputting a result.
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