CN117148047B - Power distribution fault positioning method and system based on multidimensional data - Google Patents
Power distribution fault positioning method and system based on multidimensional data Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/088—Aspects of digital computing
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- G—PHYSICS
- G01—MEASURING; TESTING
- 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
- 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
- G01R31/085—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution lines, e.g. overhead
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
- Y04S10/52—Outage or fault management, e.g. fault detection or location
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Abstract
The invention provides a power distribution fault positioning method and a system based on multidimensional data, which relate to the technical field of power distribution, and the method comprises the following steps: dividing a target distribution line network into a plurality of sub distribution lines; obtaining a first fault factor sequence; configuring a first arc detection device for the first sub-distribution line; obtaining a fault line priority sequence; obtaining a first opening state of a first arc detection device; obtaining a first monitoring dataset; performing anomaly identification on the first monitoring data set, and if the anomaly data exists, obtaining a second monitoring data set; the first fault positioning result of the first sub-distribution line is obtained, the problem that in the prior art, the fault and the actual environment of the distribution line are not analyzed sufficiently, so that the fault positioning accuracy and precision are not enough, a large number of sensors are required to be used simultaneously, the technical problem of high energy consumption is solved, the speed of fault positioning is improved, the fault positioning efficiency is improved, and meanwhile, the technical effects of energy conservation and consumption reduction are achieved.
Description
Technical Field
The invention relates to the technical field of power distribution, in particular to a power distribution fault positioning method and system based on multidimensional data.
Background
The most widely used alternating current in the current building distribution network is the potential safety hazard which exists in the alternating current. The reasons for the power distribution faults of the building generally comprise line overheating, electric arcs and electric sparks caused by lightning strokes, ultraviolet irradiation, line insulation aging, damage, poor contact of wires, internal damage of wire harnesses and the like, and if the faults are not monitored and positioned in time, serious accidents such as fire disasters and the like can be caused.
At present, in the prior art, whether a distribution line breaks down is judged through the change of physical quantities such as temperature, voltage, current and the like, but the analysis of the fault of the distribution line and the actual environment is insufficient, so that the fault positioning accuracy and precision are insufficient, a large number of sensors are needed to be used at the same time, and the energy consumption is high.
Disclosure of Invention
The invention provides a power distribution fault positioning method and system based on multidimensional data, which are used for solving the technical problems that whether a power distribution line breaks down or not is judged mostly through the change of physical quantities such as temperature, voltage, current and the like in the prior art, but the fault of the power distribution line and the actual environment are analyzed insufficiently, so that the fault positioning accuracy and precision are insufficient, a large number of sensors are needed to be used simultaneously, and the energy consumption is high.
According to a first aspect of the present invention, there is provided a power distribution fault locating method based on multidimensional data, comprising: a target distribution line network of a target building is obtained, the target distribution line network is divided into a plurality of sub distribution lines, the sub distribution lines are divided according to line operation environments, and the sub distribution lines have operation environment identifiers; extracting a first sub-distribution line of the plurality of sub-distribution lines, and sorting fault factors of the first sub-distribution line according to the running environment identification of the first sub-distribution line to obtain a first fault factor sequence; the configuration of a first arc detection device is carried out on the first sub-distribution line, wherein the first arc detection device comprises an arc sensor, a patch temperature sensor and an electric sensor, and the first arc detection device is uniformly distributed on the first sub-distribution line; performing fault probability analysis on the plurality of sub-distribution lines according to the operation environment identifier to obtain a fault line priority sequence, wherein the fault line priority sequence is a result of performing serialization processing on the plurality of sub-distribution lines according to the sequence of the fault probability from high to low; according to the fault line priority sequence, carrying out starting state decision on the first arc detection device of the first sub-distribution line to obtain a first starting state of the first arc detection device; starting the first arc detection device according to the first starting state to monitor the first sub-distribution line to obtain a first monitoring data set; performing abnormality recognition on the first monitoring data set, and if abnormal data exists in the first monitoring data set, starting the first arc detection device to monitor the first sub-distribution line according to a second starting state to obtain a second monitoring data set; and performing fault positioning according to the second monitoring data set and the first fault factor sequence to obtain a first fault positioning result of the first sub-distribution line.
According to a second aspect of the present invention, there is provided a power distribution fault location system based on multidimensional data, comprising: the distribution line dividing module is used for acquiring a target distribution line network of a target building and dividing the target distribution line network into a plurality of sub distribution lines, wherein the plurality of sub distribution lines are divided according to a line operation environment, and the plurality of sub distribution lines have operation environment identifiers; the fault factor ordering module is used for extracting a first sub-distribution line in the plurality of sub-distribution lines, and ordering the fault factors of the first sub-distribution line according to the running environment identification of the first sub-distribution line to obtain a first fault factor sequence; the arc detection device configuration module is used for configuring a first arc detection device for the first sub-distribution line, wherein the first arc detection device comprises an arc sensor, a patch temperature sensor and an electric sensor, and the first arc detection device is uniformly distributed on the first sub-distribution line; the fault probability analysis module is used for carrying out fault probability analysis on the plurality of sub-distribution lines according to the running environment identifier to obtain a fault line priority sequence, wherein the fault line priority sequence is a result of carrying out serialization processing on the plurality of sub-distribution lines according to the sequence of the fault probability from high to low; the starting state decision module is used for making a starting state decision on the first arc detection device of the first sub-distribution line according to the fault line priority sequence to obtain a first starting state of the first arc detection device; the first monitoring module is used for starting the first arc detection device to monitor the first sub-distribution line according to the first starting state to obtain a first monitoring data set; the second monitoring module is used for carrying out abnormal identification on the first monitoring data set, and if abnormal data exist in the first monitoring data set, the first arc detection device is started to monitor the first sub-distribution line according to a second starting state, so that a second monitoring data set is obtained; and the fault positioning module is used for performing fault positioning according to the second monitoring data set and the first fault factor sequence to obtain a first fault positioning result of the first sub-distribution line.
According to one or more technical schemes adopted by the invention, the following beneficial effects can be achieved:
1. dividing a target distribution line network into a plurality of sub distribution lines, extracting first sub distribution lines in the plurality of sub distribution lines, sequencing fault factors of the first sub distribution lines to obtain a first fault factor sequence, configuring a first arc detection device for the first sub distribution lines, analyzing fault probability of the plurality of sub distribution lines to obtain a fault line priority sequence, obtaining a first starting state of the first arc detection device, starting the first arc detection device to monitor the first sub distribution lines according to the first starting state, obtaining a first monitoring data set, carrying out abnormal identification on the first monitoring data set, starting the first arc detection device to monitor the first sub distribution lines according to a second starting state if abnormal data exists in the first monitoring data set, obtaining a second monitoring data set, carrying out fault location according to the second monitoring data set and the first fault factor sequence, obtaining a first fault location result of the first sub distribution lines, and achieving the technical effects of improving the fault location speed, further improving the fault location efficiency, and saving energy.
2. The method comprises the steps of obtaining a line fault influence factor set, carrying out association analysis on a first operation environment and the line fault influence factor set according to an operation environment identifier of a first sub-distribution line to obtain a first association coefficient set, carrying out serialization processing on the first association coefficient set according to a sequence from big to small to obtain a first association coefficient sequence, obtaining a first fault factor sequence according to the first association coefficient sequence, and indicating that the fault influence factor is higher in probability of causing a distribution line fault in the first fault factor sequence, so that a foundation is provided for subsequent fault positioning, and the technical effects of facilitating quick fault positioning and improving fault positioning efficiency are achieved.
3. The method comprises the steps of obtaining power consumption data of an arc sensor, a patch temperature sensor and an electric sensor in a first arc detection device, obtaining first sequence numbers of a first sub-distribution line in a fault line priority sequence, determining initial sensor starting quantity according to the first sequence numbers, determining starting sensor types according to the power consumption data and the initial sensor starting quantity, and obtaining a first starting state, wherein the initial sensor starting quantity is inversely related to the first sequence numbers, and therefore under the condition of achieving fault positioning, the technical effects of energy saving and consumption reduction are achieved.
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In order to more clearly illustrate the technical solutions of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. The accompanying drawings, which are included to provide a further understanding of the invention, illustrate and explain the present invention, and together with the description serve to explain the principle of the invention, if not to limit the invention, and to enable others skilled in the art to make and use the invention without undue effort.
Fig. 1 is a schematic flow chart of a power distribution fault positioning method based on multidimensional data according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a power distribution fault positioning system based on multidimensional data according to an embodiment of the present invention.
Reference numerals illustrate: the device comprises a distribution line dividing module 11, a fault factor ordering module 12, an arc detection device configuration module 13, a fault probability analysis module 14, an on state decision module 15, a first monitoring module 16, a second monitoring module 17 and a fault positioning module 18.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, exemplary embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be apparent that the described embodiments are only some embodiments of the present invention and not all embodiments of the present invention, and it should be understood that the present invention is not limited by the example embodiments described herein.
The terminology used in the description is for the purpose of describing embodiments only and is not intended to be limiting of the invention. As used in this specification, the singular terms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. The terms "comprises" and/or "comprising," when used in this specification, specify the presence of steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other steps, operations, elements, components, and/or groups thereof.
Unless defined otherwise, all terms (including technical and scientific terms) used in this specification should have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Terms, such as those defined in commonly used dictionaries, should not be interpreted in an idealized or overly formal sense unless expressly so defined herein. Like numbers refer to like elements throughout.
It should be noted that, the user information (including, but not limited to, user equipment information, user personal information, etc.) and the data (including, but not limited to, data for presentation, analyzed data, etc.) related to the present invention are information and data authorized by the user or sufficiently authorized by each party.
Example 1
Fig. 1 is a diagram of a power distribution fault positioning method based on multidimensional data, which includes:
a target distribution line network of a target building is obtained, the target distribution line network is divided into a plurality of sub distribution lines, the sub distribution lines are divided according to line operation environments, and the sub distribution lines have operation environment identifiers;
in a preferred embodiment, further comprising:
acquiring the position of the target distribution line network in the target building to obtain a position network; indoor and outdoor labeling is carried out on the position network, and a first labeling result is obtained; carrying out illumination intensity and temperature identification on the position network to obtain a second labeling result; and dividing the target distribution line network according to the first labeling result and the second labeling result to obtain the plurality of sub distribution lines.
The target building refers to any building to be subjected to distribution fault positioning, such as a building, a park and the like, and in order to provide electric energy for the target building and ensure the electricity consumption requirement of internal electric equipment, the target building is provided with corresponding distribution lines for conveying the electric energy to the electric equipment, and the target distribution line network is a distribution line connection distribution diagram of the target building and can be automatically determined and uploaded by staff in the target building according to actual conditions. Dividing the target distribution line network into a plurality of sub distribution lines, wherein the plurality of sub distribution lines are divided according to a line operation environment, the plurality of sub distribution lines have operation environment identifiers, in short, the distribution lines may be distributed at different positions of a building, such as different positions of indoor and outdoor, different illumination and temperatures of different positions, the risk of line faults is also different, and the distribution lines at positions of the outdoor and higher temperatures are more prone to aging and insulating layer damage, so that the faults are also more prone to occur, therefore, the target distribution line network needs to be divided into the plurality of sub distribution lines by combining the line operation environment, and the specific process is as follows:
And acquiring the position of the target distribution line network in the target building, including the position of any section of line of the target distribution line network, connecting all the positions according to the target distribution line network, and obtaining a position network as a result, namely, the network trend of the target distribution line network and the network trend of the position network are the same. Further, the indoor and outdoor labeling is performed on the position network according to the indoor or outdoor condition of the target distribution line network in the target building to obtain a first labeling result, meanwhile, the illumination intensity and the temperature of the position network are identified according to the illumination intensity and the temperature of the target distribution line network at the position of the target building, it is to be noted that the illumination intensity and the temperature identification are not specific numerical identifications but are identifications of illumination intensity levels and temperature levels, because the illumination intensity and the temperature can be changed along with the change of time and season, but the position of the whole target distribution line network, which is subjected to the strongest illumination intensity and the highest temperature, is not changed along with the change of time, and therefore, the second labeling result can be obtained by comparing the temperature and the illumination intensity of the position of the target distribution line network at any moment according to the magnitude relation between the illumination intensity and the temperature at different positions. The target distribution line network is divided according to the first labeling result and the second labeling result to obtain the plurality of sub distribution lines, namely, the target distribution line network is divided according to the first labeling result indoors and outdoors to obtain an indoor distribution line and an outdoor distribution line, the indoor distribution line and the outdoor distribution line are further subdivided according to the second labeling result, the lines at the same illumination level and the same temperature level are divided together to obtain a plurality of sub distribution lines, and the running environment corresponding to each sub distribution line is marked to obtain the plurality of sub distribution lines with running environment marks. Therefore, the distribution lines are divided, and a foundation is provided for subsequent fault positioning.
Extracting a first sub-distribution line of the plurality of sub-distribution lines, and sorting fault factors of the first sub-distribution line according to the running environment identification of the first sub-distribution line to obtain a first fault factor sequence;
in a preferred embodiment, further comprising:
acquiring a line fault influence factor set; performing association analysis on a first operation environment and the line fault influence factor set according to the operation environment identification of the first sub-distribution line to obtain a first association coefficient set; carrying out serialization processing on the first association coefficient set according to the sequence from big to small to obtain a first association coefficient sequence; and obtaining a first fault factor sequence according to the first association coefficient sequence.
The method comprises the steps of obtaining a line fault influence factor set, wherein the fault influence factor set contains a plurality of fault influence factors, and the fault influence factors refer to reasons causing power distribution faults, such as line insulation aging, damage, poor wire contact, internal damage of a wire harness and the like, and can be extracted specifically according to historical fault maintenance records. According to the operation environment identification of the first sub-distribution line, the first operation environment and the line fault influence factor set are subjected to association analysis to obtain a first association coefficient set, the first sub-distribution line is generally referred to any one of the plurality of sub-distribution lines, the first operation environment is the operation environment identification of the first sub-distribution line, in a simple way, the association degree of the first operation environment and the fault influence factors in the line fault influence factor set is analyzed, for example, the association degree between the distribution line and the line insulation ageing at the outdoor position with stronger illumination and higher temperature is higher, because the ageing is easier to occur at the outdoor position with higher temperature, the line maintenance record in the history time can be acquired, the line fault reason and the environment of the position of the fault line in the history time can be acquired, and the association analysis is performed on the fault influence factors in the first operation environment and the line fault influence factor set through the existing association analysis method, for example, the gray association degree algorithm can obtain a plurality of association coefficients to form the first association coefficient set. And carrying out serialization processing on the first association coefficient set according to the sequence from large to small, namely arranging data in the first association coefficient set according to the sequence from large to small, wherein an obtained result is a first association coefficient sequence, arranging fault influence factors according to the corresponding relation between the association coefficients in the first association coefficient sequence and the fault influence factors according to the same sequence, and an obtained result is a first fault factor sequence, wherein the fault influence factors in the first fault factor sequence are more forward, so that the probability that the fault influence factors cause faults of a distribution line is more likely, thereby providing a basis for subsequent fault positioning, facilitating realization of rapid fault positioning and improving fault positioning efficiency.
The configuration of a first arc detection device is carried out on the first sub-distribution line, wherein the first arc detection device comprises an arc sensor, a patch temperature sensor and an electric sensor, and the first arc detection device is uniformly distributed on the first sub-distribution line;
the first arc detection device comprises an arc sensor, a patch temperature sensor and an electric sensor, wherein the arc sensor is used for detecting whether a distribution line is subjected to discharge phenomenon, such as damage and aging of an insulating layer, or breakdown of the insulating layer caused by lightning stroke, ultraviolet irradiation and the like, the distribution line is often accompanied with high Wen Xianxiang, the patch temperature sensor is used for detecting the temperature of the distribution line, and the electric sensor is used for detecting electric parameters of the distribution line, such as voltage, current and the like. Therefore, multidimensional data acquisition is facilitated, and the accuracy of power distribution fault positioning is improved. It should be noted that, in this embodiment, the types of the arc sensor, the patch temperature sensor, and the electrical sensor are not limited, and a user may select a sensor on the market by himself in combination with the actual situation. The first arc detection devices are uniformly distributed on the first sub-distribution line, in short, the first sub-distribution line can be provided with a plurality of first arc detection devices, but three sensors, namely an arc sensor, a patch temperature sensor and an electric sensor, must be arranged at the same position, a group of arc sensors, patch temperature sensors and electric sensors can be arranged at intervals of the same distance, the specific arrangement number and arrangement intervals are set by a person skilled in the art, the limitation is not made, the arrangement intervals are smaller, and the later fault positioning precision is higher.
Performing fault probability analysis on the plurality of sub-distribution lines according to the operation environment identifier to obtain a fault line priority sequence, wherein the fault line priority sequence is a result of performing serialization processing on the plurality of sub-distribution lines according to the sequence of the fault probability from high to low;
in a preferred embodiment, further comprising:
the method comprises the steps of calling historical line fault data, wherein the historical line fault data comprise a plurality of historical fault records, and the historical fault records comprise fault events and fault line operation environments; according to the historical line fault data and the operation environment identifiers of the plurality of sub-distribution lines, performing fault probability calculation on the plurality of sub-distribution lines to obtain a plurality of fault probabilities, wherein the plurality of fault probabilities and the plurality of sub-distribution lines have a first mapping relation; carrying out serialization processing on the multiple fault probabilities to obtain a fault probability sequence; and obtaining the fault line priority sequence according to the first mapping relation and the fault probability sequence.
Historical line fault data can be directly retrieved and uploaded by a power distribution management department, wherein the historical line fault data comprises a plurality of historical fault records, and the historical fault records comprise fault events and fault line running environments. According to the historical line fault data and the operation environment identifiers of the plurality of sub-distribution lines, the fault probability calculation is carried out on the plurality of sub-distribution lines to obtain a plurality of fault probabilities, namely, the total number of faults of fault events is counted, then according to the operation environment identifiers of the plurality of sub-distribution lines, the occurrence times of the operation environments of the plurality of sub-distribution lines in the operation environments of the fault lines are counted, the ratio of the occurrence times of the operation environments of the plurality of sub-distribution lines to the total number of faults is used as the plurality of fault probabilities of the plurality of sub-distribution lines, and the plurality of fault probabilities and the plurality of sub-distribution lines have a first mapping relation, namely, one fault probability corresponds to one sub-distribution line. And carrying out serialization processing on the plurality of fault probabilities according to the sequence from large to small to obtain a fault probability sequence, carrying out serialization processing on the plurality of sub-distribution lines according to the sequence from large to small of the fault probability according to the first mapping relation and the fault probability sequence, wherein the obtained result is the fault line priority sequence, and the higher the probability of faults of the sub-distribution lines in the fault line priority sequence is, the higher the line operation safety risk is, so that support is provided for subsequent fault monitoring, and the fault positioning efficiency is improved.
According to the fault line priority sequence, carrying out starting state decision on the first arc detection device of the first sub-distribution line to obtain a first starting state of the first arc detection device;
in a preferred embodiment, further comprising:
acquiring power consumption data of the arc sensor, the patch temperature sensor and the electrical sensor in the first arc detection device; acquiring a first order number of the first sub-distribution line in the fault line priority sequence; determining an initial sensor start-up number according to the first sequential number, the initial sensor start-up number being inversely related to the first sequential number; and determining a starting sensor type according to the power consumption data and the initial sensor starting quantity to obtain the first starting state.
And acquiring power consumption data of the arc sensor, the patch temperature sensor and the electric sensor in the first arc detection device, wherein the power consumption data refer to energy consumed by the arc sensor, the patch temperature sensor and the electric sensor in unit time, and the power consumption data are larger, so that the more the consumed energy is indicated. The method comprises the steps of obtaining a first sequence number of a first sub-distribution line in the fault line priority sequence, namely a sequencing result of the first sub-distribution line in the fault line priority sequence, such as a 1 st bit, a 2 nd bit and the like, determining an initial sensor starting number according to the first sequence number, wherein the initial sensor starting number is inversely related to the first sequence number, in short, the greater the first sequence number is, namely the greater the position of the first sub-distribution line in the fault line priority sequence is, the smaller the initial sensor starting number is, and the more dangerous the first sub-distribution line is located in the fault line priority sequence, the more the first sub-distribution line is evenly divided into three parts, the initial sensor starting number of the sub-distribution line located in the first third is set to be 3, the initial sensor starting number of the sub-distribution line located in the middle part is set to be 2, and the initial sensor starting number of the sub-distribution line located in the second third is set to be 1, because the higher the probability of faults occurs in the fault line priority sequence is, the higher the running safety risk is, and all the monitored sensors are valued. If the starting number of the sensors is smaller than 3, selecting the sensor with smaller power consumption data as a starting sensor type according to the power consumption data, and obtaining the first starting state, wherein the first starting state is the sensor type needing to be started, namely the starting sensor type. Therefore, under the condition of realizing fault positioning, the effects of energy conservation and consumption reduction are achieved.
Starting the first arc detection device according to the first starting state to monitor the first sub-distribution line to obtain a first monitoring data set;
and starting a corresponding sensor in the first arc detection device according to the first starting state, and monitoring the first sub-distribution line to obtain a first monitoring data set, wherein the first monitoring data set is real-time monitoring data of the started sensor in the first arc detection device at different positions, such as real-time arc, real-time temperature and the like.
Performing abnormality recognition on the first monitoring data set, and if abnormal data exists in the first monitoring data set, starting the first arc detection device to monitor the first sub-distribution line according to a second starting state to obtain a second monitoring data set;
in a preferred embodiment, further comprising:
determining an arc abnormal threshold, a temperature abnormal threshold and an electrical abnormal parameter threshold; performing abnormality recognition on the first monitoring data set according to the arc abnormality threshold, the temperature abnormality threshold and the electrical abnormality parameter threshold to obtain an abnormality recognition result; and if the abnormality identification result is that the abnormality exists, starting the first arc detection device according to a second starting state, wherein the second starting state is that all the sensors in the first arc detection device are started.
The arc abnormal threshold, the temperature abnormal threshold and the electrical abnormal parameter threshold are determined, namely the arc value, the temperature value and the electrical parameter value (voltage and current) when the distribution line is likely to be in fault, and the ranges of the historical arc value, the temperature value and the electrical parameter value in the historical line fault data can be obtained to be used as the arc abnormal threshold, the temperature abnormal threshold and the electrical abnormal parameter threshold respectively. And carrying out abnormality identification on the first monitoring data set according to the arc abnormality threshold, the temperature abnormality threshold and the electrical abnormality parameter threshold, namely judging whether real-time monitoring data in the first monitoring data set, such as real-time arc, real-time temperature and the like, are positioned in the arc abnormality threshold, the temperature abnormality threshold and the electrical abnormality parameter threshold, if so, indicating that abnormality exists, obtaining an abnormality identification result, wherein the abnormality identification result comprises the presence or absence of the abnormality.
If the abnormality identification result is that abnormality exists, the first arc detection device is started according to a second starting state, wherein the second starting state is that all the sensors in the first arc detection device are started, namely, when abnormality is detected, all the sensors are started to monitor in order to improve fault monitoring precision and accuracy, the accuracy of the abnormality identification result is further determined, because the abnormality identification result at this time possibly has contingency or the sensors fail, namely, the first sub-distribution line does not fail, all the sensors in the first arc detection device are started according to the second starting state to monitor the first sub-distribution line, a second monitoring data set is obtained, and the second monitoring data set is real-time monitoring data of all the sensors, including real-time arc monitoring data, real-time temperature monitoring data and real-time voltage current monitoring data, so that the technical effects of improving fault monitoring precision and accuracy are achieved.
And performing fault positioning according to the second monitoring data set and the first fault factor sequence to obtain a first fault positioning result of the first sub-distribution line.
In a preferred embodiment, further comprising:
performing abnormality identification according to the second monitoring data set, the arc abnormality threshold, the temperature abnormality threshold and the electrical abnormality parameter threshold to obtain abnormality data; dividing the abnormal data sets according to the monitoring positions of the abnormal data to obtain a plurality of abnormal data sets; analyzing the plurality of abnormal data sets to obtain a plurality of abnormal data type sets; and performing fault troubleshooting and positioning according to the plurality of abnormal data sets and the first fault factor sequence to obtain a first fault positioning result.
And carrying out abnormality identification according to the second monitoring data set and the arc abnormality threshold, the temperature abnormality threshold and the electrical abnormality parameter threshold, namely comparing whether the real-time arc monitoring data, the real-time temperature monitoring data and the real-time voltage and current monitoring data in the second monitoring data set are in the arc abnormality threshold, the temperature abnormality threshold and the electrical abnormality parameter threshold range, and taking the data in the arc abnormality threshold, the temperature abnormality threshold and the electrical abnormality parameter threshold range as abnormality data.
Dividing an abnormal data set according to the monitoring position of the abnormal data to obtain a plurality of abnormal data sets, wherein the monitoring position is the position of a first arc detection device for acquiring the abnormal data, based on the position of the first arc detection device, obtaining a plurality of abnormal data sets, each abnormal data set at least comprises abnormal data corresponding to one parameter type in arc, temperature and electricity, performing fault troubleshooting and positioning according to the plurality of abnormal data sets and the first fault factor sequence to obtain a first fault positioning result, or simply providing the plurality of abnormal data sets and the first fault factor sequence to a maintainer, and the maintainer can preferentially check the fault influence factors in front of the position in the first fault factor sequence according to the sequence of the fault influence factors, such as whether an insulating layer is damaged or not, so that the fault positioning speed is improved, and the technical effect of improving the fault positioning efficiency is achieved.
In a preferred embodiment, further comprising:
constructing a digital twin model of a distribution network according to the target distribution line network of the target building; performing test operation on the abnormal data according to the distribution network digital twin model to obtain an abnormal evolution result sequence; carrying out abnormal evolution speed analysis according to the abnormal evolution result sequence to obtain an abnormal influence degree; and generating first reminding information according to the abnormal influence degree.
According to the target distribution line network of the target building, a distribution network digital twin model is built based on a digital twin technology, the digital twin technology fully utilizes data such as a physical model, sensor updating, operation history and the like, integrates simulation processes of multiple disciplines, multiple physical quantities, multiple scales and multiple probabilities, and completes mapping in a virtual space so as to reflect the full life cycle process of corresponding entity equipment. The construction of the digital twin model is a common technical means for a person skilled in the art and is not developed here. According to the distribution network digital twin model, the abnormal data is subjected to trial operation, namely the abnormal data is not processed, the analysis of the abnormal data through the distribution network digital twin model can cause any effect under the condition that the abnormal data is not processed, such as continuous temperature rise, more serious electric arcs until serious effects such as burning out, smoking, firing and the like of a distribution line are caused, so that an abnormal evolution result sequence is obtained, wherein the abnormal evolution result sequence is the effect of the abnormal data under different time after the trial operation through the distribution network digital twin model, such as electric spark enlargement phenomenon after the abnormal data is not processed for half an hour, smoke phenomenon after 1 hour and the like.
According to the abnormal evolution result sequence, abnormal evolution speed analysis is carried out, namely the change speed of an abnormal evolution result is analyzed, the larger the change speed is, the larger the corresponding abnormal influence degree is, first reminding information is generated according to the abnormal influence degree and used for reminding a worker to overhaul the distribution line according to abnormal data in time, so that important consequences are prevented, meanwhile, if a plurality of sub-distribution lines simultaneously generate abnormal data, the distribution line with the higher abnormal influence degree can be overhauled preferentially according to the height of the abnormal influence degree, and the effects of improving the overhauling timeliness of the distribution line and reducing the line fault safety risk are achieved.
Based on the analysis, the one or more technical schemes provided by the invention can achieve the following beneficial effects:
1. dividing a target distribution line network into a plurality of sub distribution lines, extracting first sub distribution lines in the plurality of sub distribution lines, sequencing fault factors of the first sub distribution lines to obtain a first fault factor sequence, configuring a first arc detection device for the first sub distribution lines, analyzing fault probability of the plurality of sub distribution lines to obtain a fault line priority sequence, obtaining a first starting state of the first arc detection device, starting the first arc detection device to monitor the first sub distribution lines according to the first starting state, obtaining a first monitoring data set, carrying out abnormal identification on the first monitoring data set, starting the first arc detection device to monitor the first sub distribution lines according to a second starting state if abnormal data exists in the first monitoring data set, obtaining a second monitoring data set, carrying out fault location according to the second monitoring data set and the first fault factor sequence, obtaining a first fault location result of the first sub distribution lines, and achieving the technical effects of improving the fault location speed and further improving the fault location efficiency.
2. The method comprises the steps of obtaining a line fault influence factor set, carrying out association analysis on a first operation environment and the line fault influence factor set according to an operation environment identifier of a first sub-distribution line to obtain a first association coefficient set, carrying out serialization processing on the first association coefficient set according to a sequence from big to small to obtain a first association coefficient sequence, obtaining a first fault factor sequence according to the first association coefficient sequence, and indicating that the fault influence factor is higher in probability of causing a distribution line fault in the first fault factor sequence, so that a foundation is provided for subsequent fault positioning, and the technical effects of facilitating quick fault positioning and improving fault positioning efficiency are achieved.
3. The method comprises the steps of obtaining power consumption data of an arc sensor, a patch temperature sensor and an electric sensor in a first arc detection device, obtaining first sequence numbers of a first sub-distribution line in a fault line priority sequence, determining initial sensor starting quantity according to the first sequence numbers, determining starting sensor types according to the power consumption data and the initial sensor starting quantity, and obtaining a first starting state, wherein the initial sensor starting quantity is inversely related to the first sequence numbers, and therefore under the condition of achieving fault positioning, the technical effects of energy saving and consumption reduction are achieved.
Example two
Based on the same inventive concept as the power distribution fault positioning method based on the multidimensional data in the foregoing embodiment, as shown in fig. 2, the present invention further provides a power distribution fault positioning system based on the multidimensional data, where the system includes:
the distribution line dividing module 11 is configured to obtain a target distribution line network of a target building, and divide the target distribution line network into a plurality of sub distribution lines, where the plurality of sub distribution lines are divided according to a line operating environment, and the plurality of sub distribution lines have operating environment identifiers;
the fault factor ordering module 12 is configured to extract a first sub-distribution line of the plurality of sub-distribution lines, and order the fault factors of the first sub-distribution line according to an operation environment identifier of the first sub-distribution line, so as to obtain a first fault factor sequence;
an arc detection device configuration module 13, where the arc detection device configuration module 13 is configured to configure a first arc detection device for the first sub-distribution line, where the first arc detection device includes an arc sensor, a patch temperature sensor, and an electrical sensor, and the first arc detection device is uniformly distributed in the first sub-distribution line;
The fault probability analysis module 14 is configured to perform fault probability analysis on the plurality of sub-distribution lines according to the operation environment identifier, so as to obtain a fault line priority sequence, where the fault line priority sequence is a result of performing serialization processing on the plurality of sub-distribution lines according to a sequence of the fault probability from high to low;
the starting state decision module 15 is configured to perform a starting state decision on the first arc detection device of the first sub-distribution line according to the fault line priority sequence, so as to obtain a first starting state of the first arc detection device;
the first monitoring module 16 is configured to start the first arc detection device according to the first on state to monitor the first sub-distribution line, so as to obtain a first monitoring data set;
the second monitoring module 17 is configured to perform anomaly identification on the first monitoring data set, and if the first monitoring data set has anomaly data, start the first arc detection device to monitor the first sub-distribution line according to a second start state, so as to obtain a second monitoring data set;
The fault locating module 18 is configured to locate a fault according to the second monitoring data set and the first fault factor sequence, so as to obtain a first fault locating result of the first sub-distribution line.
Further, the distribution line dividing module 11 is further configured to:
acquiring the position of the target distribution line network in the target building to obtain a position network;
indoor and outdoor labeling is carried out on the position network, and a first labeling result is obtained;
carrying out illumination intensity and temperature identification on the position network to obtain a second labeling result;
and dividing the target distribution line network according to the first labeling result and the second labeling result to obtain the plurality of sub distribution lines.
Further, the fault factor ordering module 12 is further configured to:
acquiring a line fault influence factor set;
performing association analysis on a first operation environment and the line fault influence factor set according to the operation environment identification of the first sub-distribution line to obtain a first association coefficient set;
carrying out serialization processing on the first association coefficient set according to the sequence from big to small to obtain a first association coefficient sequence;
And obtaining a first fault factor sequence according to the first association coefficient sequence.
Further, the fault probability analysis module 14 is further configured to:
the method comprises the steps of calling historical line fault data, wherein the historical line fault data comprise a plurality of historical fault records, and the historical fault records comprise fault events and fault line operation environments;
according to the historical line fault data and the operation environment identifiers of the plurality of sub-distribution lines, performing fault probability calculation on the plurality of sub-distribution lines to obtain a plurality of fault probabilities, wherein the plurality of fault probabilities and the plurality of sub-distribution lines have a first mapping relation;
carrying out serialization processing on the multiple fault probabilities to obtain a fault probability sequence;
and obtaining the fault line priority sequence according to the first mapping relation and the fault probability sequence.
Further, the on-state decision module 15 is further configured to:
acquiring power consumption data of the arc sensor, the patch temperature sensor and the electrical sensor in the first arc detection device;
acquiring a first order number of the first sub-distribution line in the fault line priority sequence;
Determining an initial sensor start-up number according to the first sequential number, the initial sensor start-up number being inversely related to the first sequential number;
and determining a starting sensor type according to the power consumption data and the initial sensor starting quantity to obtain the first starting state.
Further, the second monitoring module 17 is further configured to:
determining an arc abnormal threshold, a temperature abnormal threshold and an electrical abnormal parameter threshold;
performing abnormality recognition on the first monitoring data set according to the arc abnormality threshold, the temperature abnormality threshold and the electrical abnormality parameter threshold to obtain an abnormality recognition result;
and if the abnormality identification result is that the abnormality exists, starting the first arc detection device according to a second starting state, wherein the second starting state is that all the sensors in the first arc detection device are started.
Further, the fault location module 18 is further configured to:
performing abnormality identification according to the second monitoring data set, the arc abnormality threshold, the temperature abnormality threshold and the electrical abnormality parameter threshold to obtain abnormality data;
dividing the abnormal data sets according to the monitoring positions of the abnormal data to obtain a plurality of abnormal data sets;
Analyzing the plurality of abnormal data sets to obtain a plurality of abnormal data type sets;
and performing fault troubleshooting and positioning according to the plurality of abnormal data sets and the first fault factor sequence to obtain a first fault positioning result.
Further, the system further comprises an abnormality reminding module, wherein the abnormality reminding module is used for:
constructing a digital twin model of a distribution network according to the target distribution line network of the target building;
performing test operation on the abnormal data according to the distribution network digital twin model to obtain an abnormal evolution result sequence;
carrying out abnormal evolution speed analysis according to the abnormal evolution result sequence to obtain an abnormal influence degree;
and generating first reminding information according to the abnormal influence degree.
A specific example of a power distribution fault location method based on multidimensional data in the foregoing embodiment is also applicable to a power distribution fault location system based on multidimensional data in this embodiment, and those skilled in the art can clearly know a power distribution fault location system based on multidimensional data in this embodiment through the foregoing detailed description of a power distribution fault location method based on multidimensional data, so that details of this embodiment will not be described herein for brevity.
It should be understood that the various forms of flow shown above, reordered, added or deleted steps may be used, as long as the desired results of the disclosed embodiments are achieved, and are not limiting herein.
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.
Claims (7)
1. A power distribution fault location method based on multidimensional data, comprising:
a target distribution line network of a target building is obtained, the target distribution line network is divided into a plurality of sub distribution lines, the sub distribution lines are divided according to line operation environments, and the sub distribution lines have operation environment identifiers;
Extracting a first sub-distribution line of the plurality of sub-distribution lines, and sorting fault factors of the first sub-distribution line according to the running environment identification of the first sub-distribution line to obtain a first fault factor sequence;
the configuration of a first arc detection device is carried out on the first sub-distribution line, wherein the first arc detection device comprises an arc sensor, a patch temperature sensor and an electric sensor, and the first arc detection device is uniformly distributed on the first sub-distribution line;
performing fault probability analysis on the plurality of sub-distribution lines according to the operation environment identifier to obtain a fault line priority sequence, wherein the fault line priority sequence is a result of performing serialization processing on the plurality of sub-distribution lines according to the sequence of the fault probability from high to low;
according to the fault line priority sequence, carrying out starting state decision on the first arc detection device of the first sub-distribution line to obtain a first starting state of the first arc detection device;
starting the first arc detection device according to the first starting state to monitor the first sub-distribution line to obtain a first monitoring data set;
Performing abnormality recognition on the first monitoring data set, and if abnormal data exists in the first monitoring data set, starting the first arc detection device to monitor the first sub-distribution line according to a second starting state to obtain a second monitoring data set;
performing fault positioning according to the second monitoring data set and the first fault factor sequence to obtain a first fault positioning result of the first sub-distribution line;
the step of performing an on-state decision on the first arc detection device of the first sub-distribution line according to the fault line priority sequence to obtain a first on-state of the first arc detection device includes:
acquiring power consumption data of the arc sensor, the patch temperature sensor and the electrical sensor in the first arc detection device;
acquiring a first order number of the first sub-distribution line in the fault line priority sequence;
determining an initial sensor start-up number according to the first sequential number, the initial sensor start-up number being inversely related to the first sequential number;
determining a start sensor type according to the power consumption data and the initial sensor start quantity to obtain the first starting state;
Starting the first arc detection device according to a second starting state to monitor the first sub-distribution line, including:
determining an arc abnormal threshold, a temperature abnormal threshold and an electrical abnormal parameter threshold;
performing abnormality recognition on the first monitoring data set according to the arc abnormality threshold, the temperature abnormality threshold and the electrical abnormality parameter threshold to obtain an abnormality recognition result;
and if the abnormality identification result is that the abnormality exists, starting the first arc detection device according to a second starting state, wherein the second starting state is that all the sensors in the first arc detection device are started.
2. The method of claim 1, wherein said dividing said target distribution line network into a plurality of sub-distribution lines comprises:
acquiring the position of the target distribution line network in the target building to obtain a position network;
indoor and outdoor labeling is carried out on the position network, and a first labeling result is obtained;
carrying out illumination intensity and temperature identification on the position network to obtain a second labeling result;
and dividing the target distribution line network according to the first labeling result and the second labeling result to obtain the plurality of sub distribution lines.
3. The method of claim 2, wherein said ordering the fault factors of the first sub-distribution lines to obtain a first sequence of fault factors comprises:
acquiring a line fault influence factor set;
performing association analysis on a first operation environment and the line fault influence factor set according to the operation environment identification of the first sub-distribution line to obtain a first association coefficient set;
carrying out serialization processing on the first association coefficient set according to the sequence from big to small to obtain a first association coefficient sequence;
and obtaining a first fault factor sequence according to the first association coefficient sequence.
4. The method of claim 1, wherein said performing a fault probability analysis on said plurality of sub-distribution lines according to said operating environment identification to obtain a fault line priority sequence comprises:
the method comprises the steps of calling historical line fault data, wherein the historical line fault data comprise a plurality of historical fault records, and the historical fault records comprise fault events and fault line operation environments;
according to the historical line fault data and the operation environment identifiers of the plurality of sub-distribution lines, performing fault probability calculation on the plurality of sub-distribution lines to obtain a plurality of fault probabilities, wherein the plurality of fault probabilities and the plurality of sub-distribution lines have a first mapping relation;
Carrying out serialization processing on the multiple fault probabilities to obtain a fault probability sequence;
and obtaining the fault line priority sequence according to the first mapping relation and the fault probability sequence.
5. The method of claim 1, wherein said performing fault localization based on said second monitored data set and said first sequence of fault factors to obtain a first fault localization result for said first sub-distribution line comprises:
performing abnormality identification according to the second monitoring data set, the arc abnormality threshold, the temperature abnormality threshold and the electrical abnormality parameter threshold to obtain abnormality data;
dividing the abnormal data sets according to the monitoring positions of the abnormal data to obtain a plurality of abnormal data sets;
analyzing the plurality of abnormal data sets to obtain a plurality of abnormal data type sets;
and performing fault troubleshooting and positioning according to the plurality of abnormal data sets and the first fault factor sequence to obtain a first fault positioning result.
6. The method of claim 1, wherein the method further comprises:
constructing a digital twin model of a distribution network according to the target distribution line network of the target building;
Performing test operation on the abnormal data according to the distribution network digital twin model to obtain an abnormal evolution result sequence;
carrying out abnormal evolution speed analysis according to the abnormal evolution result sequence to obtain an abnormal influence degree;
and generating first reminding information according to the abnormal influence degree.
7. A power distribution fault location system based on multidimensional data, characterized by the steps for performing any one of the methods of the multidimensional data based power distribution fault location method of claims 1 to 6, the system comprising:
the distribution line dividing module is used for acquiring a target distribution line network of a target building and dividing the target distribution line network into a plurality of sub distribution lines, wherein the plurality of sub distribution lines are divided according to a line operation environment, and the plurality of sub distribution lines have operation environment identifiers;
the fault factor ordering module is used for extracting a first sub-distribution line in the plurality of sub-distribution lines, and ordering the fault factors of the first sub-distribution line according to the running environment identification of the first sub-distribution line to obtain a first fault factor sequence;
The arc detection device configuration module is used for configuring a first arc detection device for the first sub-distribution line, wherein the first arc detection device comprises an arc sensor, a patch temperature sensor and an electric sensor, and the first arc detection device is uniformly distributed on the first sub-distribution line;
the fault probability analysis module is used for carrying out fault probability analysis on the plurality of sub-distribution lines according to the running environment identifier to obtain a fault line priority sequence, wherein the fault line priority sequence is a result of carrying out serialization processing on the plurality of sub-distribution lines according to the sequence of the fault probability from high to low;
the starting state decision module is used for making a starting state decision on the first arc detection device of the first sub-distribution line according to the fault line priority sequence to obtain a first starting state of the first arc detection device;
the first monitoring module is used for starting the first arc detection device to monitor the first sub-distribution line according to the first starting state to obtain a first monitoring data set;
The second monitoring module is used for carrying out abnormal identification on the first monitoring data set, and if abnormal data exist in the first monitoring data set, the first arc detection device is started to monitor the first sub-distribution line according to a second starting state, so that a second monitoring data set is obtained;
the fault positioning module is used for performing fault positioning according to the second monitoring data set and the first fault factor sequence to obtain a first fault positioning result of the first sub-distribution line;
the on state decision module is further configured to:
acquiring power consumption data of the arc sensor, the patch temperature sensor and the electrical sensor in the first arc detection device;
acquiring a first order number of the first sub-distribution line in the fault line priority sequence;
determining an initial sensor start-up number according to the first sequential number, the initial sensor start-up number being inversely related to the first sequential number;
determining a start sensor type according to the power consumption data and the initial sensor start quantity to obtain the first starting state;
The second monitoring module is further configured to:
determining an arc abnormal threshold, a temperature abnormal threshold and an electrical abnormal parameter threshold;
performing abnormality recognition on the first monitoring data set according to the arc abnormality threshold, the temperature abnormality threshold and the electrical abnormality parameter threshold to obtain an abnormality recognition result;
and if the abnormality identification result is that the abnormality exists, starting the first arc detection device according to a second starting state, wherein the second starting state is that all the sensors in the first arc detection device are started.
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