Portable intelligent power distribution gateway operation and maintenance device with low-voltage fault positioning and active first-aid repair functions

Abstract

The invention relates to a portable power distribution intelligent gateway operation and maintenance device with low-voltage fault positioning and active first-aid repair functions, and relates to the technical field of power distribution networks. The portable power distribution intelligent gateway operation and maintenance device comprises an intelligent gateway unit, a fault positioning unit and a first-aid repair decision-making unit. The intelligent gateway unit is equivalent to a first-level operation and maintenance unit and is used for preliminarily determining low-voltage fault types and fault data; the fault positioning unit is equivalent to a secondary operation and maintenance unit and is used for performing low-voltage fault positioning; the first-aid repair decision unit is equivalent to a three-level operation and maintenance unit and formulates an active first-aid repair The device has the functions of low-voltage fault positioning and active first-aid repair through hierarchical power distribution network monitoring, and the three units are respectively used for realizing different functions, so that the device can be regarded as an integrated portable power distribution intelligent gateway operation and maintenance device. Accurate low-voltage fault positioning can be realized, a reasonable active first-aid repair strategy can be formulated, and the reliability, stability and safety of the power distribution network can be further improved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of power distribution network, and in particular to a portable power distribution intelligent gateway operation and maintenance device with low-voltage fault location and active repair functions. Background Art

[0002] The distribution network refers to the power grid that receives electric energy from the transmission network or regional power plants and distributes it locally or step by step according to voltage to various users through distribution facilities. It is composed of overhead lines, cables, towers, distribution transformers, disconnectors, reactive power compensators and some ancillary facilities, and plays an important role in distributing electric energy in the power grid.

[0003] In order to ensure the reliability, safety and stability of the distribution network operation, it is necessary to conduct fault monitoring on the operation of the distribution network. Summary of the invention

[0004] The purpose of the present invention is to provide a portable power distribution intelligent gateway operation and maintenance device with low-voltage fault locating and active repair functions. The portable power distribution intelligent gateway operation and maintenance device can realize accurate low-voltage fault locating and formulate reasonable active repair strategies, thereby improving the reliability, stability and safety of the distribution network.

[0005] In order to achieve the above-mentioned objectives, the present disclosure provides a portable power distribution intelligent gateway operation and maintenance device with low-voltage fault locating and active emergency repair functions, including: an intelligent gateway unit, connected to the distribution network, configured to obtain distribution network data, and determine the low-voltage fault type and fault data based on the distribution network data, wherein the low-voltage fault type is used to characterize the cause of the low-voltage fault in the distribution network; a fault locating unit, connected to the intelligent gateway unit, configured to determine the low-voltage fault locating result based on the low-voltage fault type and the fault data, wherein the low-voltage fault locating result is used to characterize the location where the low-voltage fault in the distribution network occurs, and the low-voltage fault location is indicated by the distribution network equipment; an emergency repair decision unit, connected to the intelligent gateway unit and the fault locating unit respectively, configured to determine the active emergency repair strategy based on the low-voltage fault locating result and the low-voltage fault type, and execute the active emergency repair strategy.

[0006] Optionally, the low voltage fault type includes a first fault type, a second fault type and a third fault type, wherein the first fault type is used to characterize a low voltage fault in the distribution network caused by a line fault, the second fault type is used to characterize a low voltage fault in the distribution network caused by an external reason, and the third fault type is used to characterize a low voltage fault in the distribution network caused by a line fault and an external reason; correspondingly, when the low voltage fault type is the first fault type, the fault data includes line data, when the low voltage fault type is the second fault type, the fault data includes external environment impact data, and when the low voltage fault type is the third fault type, the fault data includes line data, external environment impact data, the corresponding impact weight of the line data and the corresponding impact weight of the external environment impact data.

[0007] Optionally, the distribution network data includes: line data and external environment impact data, and the intelligent gateway unit is also configured to: compare the line data with first preset abnormal line data; if the line data matches the first preset abnormal line data, determine that the low voltage fault type is the first fault type, and determine the line data as the fault data; if the line data does not match the first preset abnormal line data, compare the line data with the second preset abnormal line data, and determine the low voltage fault type and fault data based on the comparison result.

[0008] Optionally, the intelligent gateway unit is further configured to: if the line data matches the second preset abnormal line data, determine that the low voltage fault type is the third fault type, determine the line data and the external environment impact data as the fault data, and determine the corresponding influence weight of the line data and the corresponding influence weight of the external environment impact data according to the mismatch between the line data and the first preset abnormal line data and the match between the line data and the second preset abnormal line data; if the line data does not match the second preset abnormal line data, compare the external environment impact data with the preset abnormal external environment impact data; if the external environment impact data matches the preset abnormal external environment impact data, determine that the low voltage fault type is the second fault type, and determine the external environment impact data as the fault data.

[0009] Optionally, the fault location unit is further configured to: extract fault features from the fault data according to the low-voltage fault type, wherein the low-voltage fault type is used to indicate a method for extracting the fault features; and determine a low-voltage fault location result according to the fault features and a pre-trained low-voltage fault location model.

[0010] Optionally, the fault location unit is further configured as: if the low voltage fault type is the first fault type, extracting abnormal line data and line data related to the abnormal line data from the line data as the fault feature; if the low voltage fault type is the second fault type, extracting abnormal environment impact data from the external environment impact data as the fault feature; if the low voltage fault type is the third fault type, extracting abnormal line data and line data related to the abnormal line data from the line data as the first fault feature, extracting abnormal environment impact data from the external environment impact data as the second fault feature, and combining the first fault feature and the second fault feature according to the corresponding impact weight of the line data and the corresponding impact weight of the external environment impact data to obtain the final fault feature.

[0011] Optionally, the fault location unit is further configured to: obtain a training data set, the training data set comprising multiple first training samples and multiple second training samples, each first training sample comprising a first sample fault feature and a first sample label, each second training sample comprising a second sample fault feature and a second sample label, the first sample fault feature is a fault feature extracted based on line data, the second sample feature is a fault feature extracted based on external environmental impact data, the first sample label and the second sample label respectively indicate the location where the low-voltage fault occurs through a distribution network equipment identifier; according to the training data set, train the low-voltage fault location model to be trained to obtain the pre-trained low-voltage fault model.

[0012] Optionally, the fault location unit is further configured to: perform initial training on the low-voltage fault location model to be trained according to the multiple first training samples to obtain an initially trained low-voltage fault location model; perform secondary training on the initially trained low-voltage fault location model according to the multiple second training samples to obtain a secondary trained low-voltage fault location model; obtain third training samples and test samples according to the multiple first training samples and the multiple second training samples; perform tertiary training on the secondary trained low-voltage fault location model according to the third training samples to obtain a tertiary trained low-voltage fault location model; and perform optimization training on the tertiary trained low-voltage fault location model according to the test samples to obtain the pre-trained low-voltage fault location model.

[0013] Optionally, the emergency repair decision unit is further configured to: determine a first active emergency repair level according to the low-voltage fault type; determine a second active emergency repair level according to the distribution network equipment indicated by the low-voltage fault location result; determine an active emergency repair strategy according to the first active emergency repair level, the second active emergency repair level and a preset correspondence, wherein the preset correspondence includes: multiple preset emergency repair levels and emergency repair strategies corresponding to multiple preset emergency repair levels, and the emergency repair strategies include emergency repair personnel information, emergency repair response time and emergency repair reference information.

[0014] Optionally, the portable power distribution intelligent gateway operation and maintenance device also includes: a visualization front end, which is respectively connected to the intelligent gateway unit, the fault location unit and the emergency repair decision unit, and the visualization front end is configured to visualize the distribution network data, the low-voltage fault location results and the emergency repair strategy.

[0015] Through the above technical solution, the portable power distribution intelligent gateway operation and maintenance device includes: an intelligent gateway unit, a fault location unit and an emergency repair decision unit. Among them, the intelligent gateway unit is equivalent to the first-level operation and maintenance unit, which can perform preliminary determination of the low-voltage fault type and fault data; the fault location unit is equivalent to the second-level operation and maintenance unit, which can perform low-voltage fault location; the emergency repair decision unit is equivalent to the third-level operation and maintenance unit, which can formulate active emergency repair strategies. Therefore, the device has the functions of low-voltage fault location and active emergency repair through hierarchical distribution network monitoring, and since the three units are used to realize different functions respectively, it can be regarded as an integrated portable power distribution intelligent gateway operation and maintenance device. Therefore, the portable power distribution intelligent gateway operation and maintenance device can realize accurate low-voltage fault location and formulate reasonable active emergency repair strategies, thereby improving the reliability, stability and safety of the distribution network.

[0016] Other features and advantages of the present disclosure will be described in detail in the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The accompanying drawings are used to provide a further understanding of the present disclosure and constitute a part of the specification. Together with the following specific embodiments, they are used to explain the present disclosure but do not constitute a limitation of the present disclosure. In the accompanying drawings: Figure 1 It is a block diagram of a portable power distribution intelligent gateway operation and maintenance device according to an exemplary embodiment.

[0018] Figure 2 The figure is a schematic diagram of a hierarchical data processing link according to an exemplary embodiment.

[0019] Figure 3 It is a schematic diagram of a model training according to an exemplary embodiment.

[0020] Figure 4 It is a block diagram of another portable power distribution intelligent gateway operation and maintenance device according to an exemplary embodiment.

[0021] Figure 5 The present invention is a flowchart of a method for operating and maintaining a power distribution intelligent gateway according to an exemplary embodiment.

[0022] Figure 6 It is a block diagram of an electronic device according to an exemplary embodiment. DETAILED DESCRIPTION

[0023] The specific implementation of the present disclosure is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described herein is only used to illustrate and explain the present disclosure, and is not used to limit the present disclosure.

[0024] The distribution network refers to the power grid that receives electric energy from the transmission network or regional power plants and distributes it locally or step by step according to voltage to various users through distribution facilities. It is composed of overhead lines, cables, towers, distribution transformers, disconnectors, reactive power compensators and some ancillary facilities, and plays an important role in distributing electric energy in the power grid.

[0025] In order to ensure the reliability, safety and stability of the distribution network operation, it is necessary to conduct fault monitoring on the operation of the distribution network.

[0026] Smart gateways also play an important role in the remote operation and maintenance of distribution networks. They can collect data such as the operating status, workload, fault information, etc. of the distribution network in real time, and transmit the data to the cloud platform or local control system through the Internet or local area network, realizing remote fault diagnosis and troubleshooting, remote control and adjustment, and real-time monitoring and alarm functions.

[0027] At present, in the operation and maintenance scenarios of distribution networks, fault monitoring of distribution networks is usually achieved by intelligent gateways. This fault monitoring method integrates all data processing functions on the intelligent gateway, which puts a lot of pressure on the intelligent gateway and makes it impossible to provide a portable distribution intelligent gateway.

[0028] Based on this, the embodiment of the present disclosure provides a portable power distribution intelligent gateway operation and maintenance device with low-voltage fault locating and active repair functions. The device classifies the fault monitoring functions of the distribution network, and different hardware units perform different data processing operations. On the basis of realizing the low-voltage fault locating and active repair functions, the convenience of the device can also be achieved.

[0029] Figure 1 is a block diagram of a portable power distribution intelligent gateway operation and maintenance device according to an exemplary embodiment. Figure 1As shown, the device includes: an intelligent gateway unit, a fault location unit and an emergency repair decision unit.

[0030] In some embodiments, the device may include a device body, and the intelligent gateway unit, the fault location unit and the emergency repair decision unit may be arranged in the device body.

[0031] In some embodiments, the implementation of the device body, such as parameters such as shape, weight, size, and material, can be configured in combination with different application scenarios and the requirements of the portable device, and are not limited here. For example, if the portable device is required to be light, a material with a light weight can be used as much as possible.

[0032] In some embodiments, the device may further include: a communication unit, which includes an external communication unit and an internal communication unit. The external communication unit may be an Internet of Things communication unit, which may realize a communication connection between any one of the intelligent gateway unit, the fault location unit, and the emergency repair decision unit and the outside, and the internal communication unit may be a communication bus, which may realize communication between the intelligent gateway unit, the fault location unit, and the emergency repair decision unit.

[0033] In some embodiments, the smart gateway unit can establish a communication connection with the distribution network to obtain distribution network data from the distribution network. Regarding the Internet of Things communication method between the smart gateway and the distribution network, reference can be made to mature technologies in the art.

[0034] Figure 2 is a schematic diagram of a hierarchical data processing link according to an exemplary embodiment. Figure 2 As shown, the intelligent gateway unit, as a first-level operation and maintenance unit, directly communicates with the distribution network to obtain distribution network data, and then determines the low-voltage fault type and fault data based on the distribution network data. The fault location unit, as a second-level operation and maintenance unit, communicates with the intelligent gateway unit to obtain the low-voltage fault type and fault data, and then determines the low-voltage fault location result based on the low-voltage fault type and fault data. The emergency repair decision unit, as a third-level operation and maintenance unit, can communicate with the intelligent gateway unit and the fault location unit respectively to obtain the low-voltage fault location result and the low-voltage fault type, so as to determine the active emergency repair strategy and execute the active emergency repair strategy.

[0035] In some embodiments, the emergency repair decision unit may also communicate with an external terminal when executing the active emergency repair strategy, which will be described in detail in subsequent embodiments.

[0036] Regarding the intelligent gateway unit, it is configured to obtain distribution network data and determine the low-voltage fault type and fault data based on the distribution network data. The low-voltage fault type is used to characterize the cause of the low-voltage fault in the distribution network.

[0037] Regarding the fault location unit, it is configured to determine the low-voltage fault location result according to the low-voltage fault type and fault data. The low-voltage fault location result is used to characterize the location where the low-voltage fault occurs in the distribution network. The low-voltage fault location is indicated by the distribution network equipment.

[0038] The emergency repair decision unit is configured to determine an active emergency repair strategy and execute the active emergency repair strategy according to the low voltage fault location result and the low voltage fault type.

[0039] Next, the detailed implementation methods corresponding to each unit are introduced.

[0040] In some embodiments, the failure of the distribution network involves multiple aspects of failure. In the embodiments of the present disclosure, it mainly targets low voltage failure.

[0041] Regarding low voltage fault, it can be understood as a fault that may cause low voltage phenomenon, which can be caused by many reasons.

[0042] Therefore, the low voltage fault type and fault data can be determined first to facilitate the low voltage fault location. Among them, the low voltage fault type is used to characterize the cause of the low voltage fault in the distribution network.

[0043] In some embodiments, the low voltage fault type may include a first fault type, a second fault type, and a third fault type, wherein the first fault type is used to characterize a low voltage fault in the distribution network caused by a line fault, the second fault type is used to characterize a low voltage fault in the distribution network caused by an external reason, and the third fault type is used to characterize a low voltage fault in the distribution network caused by a line fault and an external reason.

[0044] For example, common low voltage faults may involve the following situations: Short circuit fault: When a connection occurs between two points in a circuit that should not be directly connected, causing a sharp increase in current, which may cause the protective device to trip, causing power outage.

[0045] Poor contact: Due to loose, corroded or oxidized line connection points, current transmission is blocked, which may cause voltage drop, line heating or equipment damage.

[0046] Line break: The low-voltage line is disconnected at a certain location, which may be caused by external force, aging or material quality problems, resulting in power interruption or power outage in a local area.

[0047] Insulation failure: The insulation layer of a low-voltage line is cracked or damaged, causing current leakage, which may cause equipment failure or even fire.

[0048] Overload fault: The load current in the circuit exceeds the carrying capacity of the wires, causing the lines to heat up and possibly damage the wires and connected equipment.

[0049] Phase failure: In a three-phase power supply system, one phase of the line is disconnected, resulting in unbalanced power supply, which may affect the operation of equipment such as motors.

[0050] Leakage faults: Weathering or aging of line insulation causes current leakage, increasing the risk of electric shock and electrical fires.

[0051] Ground Fault: Damage to the wires and failure of the grounding wire to effectively insulate the wires from the ground may result in a ground fault in the distribution line.

[0052] In the above example, short circuit fault, overload fault and phase failure fault may belong to the first fault type. Insulation fault and leakage fault may belong to the second fault type. Line break may belong to the third fault type.

[0053] It can be understood that the specific fault cause may not be limited to the above fault causes, and the above fault cause is only used as an example.

[0054] Furthermore, different low voltage fault types may involve different fault data. Therefore, when the low voltage fault type is the first fault type, the fault data includes line data, when the low voltage fault type is the second fault type, the fault data includes external environment impact data, and when the low voltage fault type is the third fault type, the fault data includes line data, external environment impact data, impact weights corresponding to the line data, and impact weights corresponding to the external environment impact data.

[0055] In some embodiments, the line data may be current data, and the external environment impact temperature data may include: temperature, humidity, wind force level, weather conditions and other data. The corresponding impact weight of the line data may characterize the degree of influence of the line data on the fault. The impact weight corresponding to the external environment impact data may characterize the degree of influence of the external environment impact data on the fault. The higher the impact weight, the greater the impact on the fault.

[0056] Furthermore, the distribution network data also includes: line data and external environment impact data. According to the distribution network data, the low voltage fault type and fault data can be determined.

[0057] In some embodiments, the method of acquiring distribution network data can refer to mature technologies in the field. For example, current can be monitored by current monitoring sensors, and data such as temperature, humidity, wind level and weather conditions can be monitored by environmental monitoring sensors.

[0058] As an optional implementation, determining the low-voltage fault type and fault data includes: comparing the line data with first preset abnormal line data; if the line data matches the first preset abnormal line data, determining that the low-voltage fault type is the first fault type, and determining the line data as fault data; if the line data does not match the first preset abnormal line data, comparing the line data with second preset abnormal line data, and determining the low-voltage fault type and fault data based on the comparison result.

[0059] In this implementation, the intelligent gateway can first determine whether there is a low voltage fault according to a common fault identification method, and then filter out the fault data based on the determination that there is a low voltage fault.

[0060] In some embodiments, the first preset abnormal line data may be data determined through actual measurement, which is used to determine whether there is a low voltage fault, and to determine whether there is a low voltage fault caused by a single line reason. Therefore, the first preset abnormal line data may be determined by measuring line data of a low voltage fault caused by an actual line reason.

[0061] In some embodiments, the second preset abnormal line data may be data determined through actual measurement, which is used to determine whether a low voltage fault exists, and is used to determine whether a low voltage fault exists due to reasons other than a single line. Therefore, the second preset abnormal line data may be determined by measuring line data of a low voltage fault occurring due to reasons other than a single line.

[0062] The first preset abnormal line data and the second preset abnormal line data may be, for example, an abnormal current value range.

[0063] Thus, the line data is first compared with the first preset abnormal line data. If the line data matches the first preset abnormal line data, for example, the current is within the corresponding abnormal current value range, the low voltage fault type can be directly determined as the first fault type, and the line data can be directly determined as fault data.

[0064] If the line data does not match the first preset abnormal line data, for example, the current is not within the corresponding abnormal current value range, it can be further compared with the second preset abnormal line data, and the low voltage fault type and fault data can be determined based on the comparison result.

[0065] In some embodiments, if the line data matches the second preset abnormal line data, the low voltage fault type is determined to be a third fault type, the line data and the external environment impact data are determined as fault data, and based on the mismatch between the line data and the first preset abnormal line data and the match between the line data and the second preset abnormal line data, the corresponding impact weight of the line data and the corresponding impact weight of the external environment impact data are determined.

[0066] In some embodiments, if the line data matches the second preset abnormal line data, the third fault type can be directly determined as a low voltage fault type, that is, a low voltage fault caused by the influence of the line and the external environment.

[0067] Furthermore, the corresponding influence weight of the line data and the corresponding influence weight of the external environment influence data may be determined according to the mismatch degree between the line data and the first preset abnormal line data and the match degree between the line data and the second preset abnormal line data.

[0068] In some embodiments, the mismatch between the line data and the first preset abnormal line data can be determined based on the difference between the line data and the threshold of the first preset abnormal line data, for example, the ratio of the difference to the threshold. The match between the line data and the second preset abnormal line data can be determined based on the difference between the line data and the threshold of the second preset abnormal line data, for example, the ratio of the difference to the threshold. The selection rules of the thresholds need to be consistent, for example, both select the minimum value or both select the maximum value.

[0069] In some embodiments, the mismatch between the line data and the first preset abnormal line data can represent the influence weight corresponding to the external environment influence data, and the greater the mismatch, the higher the influence weight corresponding to the external environment influence data. The match between the line data and the second preset abnormal line data can represent the influence weight corresponding to the line data, and the greater the match, the higher the influence weight corresponding to the line data.

[0070] Therefore, based on the above relationship and the premise that the sum of the corresponding influence weight of the line data and the corresponding influence weight of the external environment influence data is 1, the corresponding influence weight of the line data and the corresponding influence weight of the external environment influence data can be determined respectively.

[0071] In other embodiments, the two matching degrees may be compared. If the two matching degrees are close to each other, the corresponding influence weight of the line data is higher, and the corresponding influence weight of the external environment influence data is smaller.

[0072] In practical applications, different methods for determining influence weights may be selected according to different application scenarios, which are not limited here.

[0073] Further, if the line data does not match the second preset abnormal line data, the external environment impact data is compared with the preset abnormal external environment impact data. The preset abnormal external environment impact data can be preset in a manner that refers to the implementation of the first preset abnormal line data and the second preset abnormal line data, that is, the preset abnormal external environment impact data is determined by actually measuring the external environment impact data under the condition of a low voltage fault caused by the external environment.

[0074] In combination with the foregoing embodiment, the external environment impact data may involve abnormal value ranges of different aspects such as temperature, humidity, wind force level, and weather conditions.

[0075] Furthermore, when determining whether the external environmental impact data matches the preset abnormal external environmental impact data, comparisons can be made based on data from different aspects, and then multiple comparison results can be integrated to determine whether they match. For example, if at least one data falls within the abnormal value range, it is considered a match.

[0076] Furthermore, when the external environment impact data matches the preset abnormal external environment impact data, the low voltage fault type can be determined as the second fault type, and the external environment impact data can be directly determined as fault data.

[0077] Furthermore, the fault locating unit may locate the low voltage fault based on the low voltage fault type and the fault data.

[0078] As an optional implementation, the process of low-voltage fault location includes: extracting fault features from fault data according to the low-voltage fault type, wherein the low-voltage fault type is used to indicate the method of extracting the fault features; and determining the low-voltage fault location result according to the fault features and a pre-trained low-voltage fault location model.

[0079] In this implementation, the fault features may be first extracted based on the fault data, and then the low-voltage fault location result may be determined according to the fault features using a pre-trained low-voltage fault location model.

[0080] In some embodiments, the low voltage fault type may also be used to indicate a method for extracting fault features, that is, different low voltage fault types require different fault feature extraction methods.

[0081] In some embodiments, if the low voltage fault type is the first fault type, abnormal line data and line data related to the abnormal line data are extracted from the line data as fault features.

[0082] In this implementation, for the low voltage fault type caused by a single line, abnormal line data and line data related to the abnormal line data are extracted. The abnormal line data may be data with a lower frequency, or peak data, peak-valley data, etc. The related line data may be data located near the abnormal line data (collected at a similar time).

[0083] In some embodiments, the fault feature may be represented in a vector form. For example, the abnormal line data is arranged in chronological order to obtain a fault feature vector with time sequence.

[0084] In some embodiments, if the low voltage fault type is the second fault type, abnormal environmental impact data is extracted from the external environmental impact data as a fault feature.

[0085] In this implementation, for a single external cause, abnormal environmental impact data is extracted as a fault feature, wherein the abnormal environmental impact data may be data with a lower frequency, or peak data, peak-valley data, and the like.

[0086] In some embodiments, if the low-voltage fault type is the third fault type, abnormal line data and line data related to the abnormal line data are extracted from the line data as the first fault feature, and abnormal environmental impact data is extracted from the external environmental impact data as the second fault feature. According to the corresponding impact weight of the line data and the corresponding impact weight of the external environmental impact data, the first fault feature and the second fault feature are combined to obtain the final fault feature.

[0087] In this implementation, for the situation of two causes, the first fault feature and the second fault feature can be extracted respectively, and then the final fault feature can be obtained by combining the features according to the influence weight.

[0088] In some embodiments, a first feature vector can be generated based on the first fault feature, and a second feature vector can be generated based on the second fault feature. Then, a transformation strategy for the first feature vector is determined according to the corresponding impact weight of the line data, and a transformation strategy for the second feature vector is determined according to the impact weight corresponding to the external environment impact data. Then, the first feature vector and the second feature vector are transformed according to the corresponding transformation strategies, respectively, and the two transformed feature vectors are merged to obtain a final feature vector, which represents the final fault feature.

[0089] Among them, the influence weight can determine whether the feature vector adopts incremental transformation or decremental transformation. For example, if the influence weight is greater than 0.5, decremental transformation is adopted, and the degree of decremental transformation is determined according to the difference from 0.5. The larger the difference, the higher the degree of decremental transformation. If the influence weight is greater than 0.5, incremental transformation is adopted, and the degree of incremental transformation is determined according to the difference from 0.5. The larger the difference, the higher the degree of incremental transformation.

[0090] In some embodiments, the low voltage fault location model is a pre-trained model, which may be a neural network model, a large model, etc., which is not limited here.

[0091] As an optional implementation, the training of the model includes: obtaining a training data set, the training data set includes multiple first training samples and multiple second training samples, each first training sample includes a first sample fault feature and a first sample label, each second training sample includes a second sample fault feature and a second sample label, the first sample fault feature is a fault feature extracted based on line data, the second sample feature is a fault feature extracted based on external environmental impact data, the first sample label and the second sample label respectively indicate the location where the low-voltage fault occurs through a distribution network equipment identifier; according to the training data set, the low-voltage fault location model to be trained is trained to obtain a pre-trained low-voltage fault model.

[0092] In this implementation, corresponding fault data under a single fault cause is collected, organized into fault features, and configured with a distribution network equipment identifier, wherein the distribution network equipment identifier can represent the fault location.

[0093] In some embodiments, according to a training data set, a low-voltage fault location model to be trained is trained to obtain a pre-trained low-voltage fault model, which may include: according to multiple first training samples, the low-voltage fault location model to be trained is initially trained to obtain an initially trained low-voltage fault location model; according to multiple second training samples, the initially trained low-voltage fault location model is secondarily trained to obtain a secondary trained low-voltage fault location model; according to multiple first training samples and multiple second training samples, a third training sample and a test sample are obtained; according to the third training sample, the second-trained low-voltage fault location model is trained thrice to obtain a thrice-trained low-voltage fault location model; according to the test sample, the thrice-trained low-voltage fault location model is optimized and trained to obtain a pre-trained low-voltage fault location model.

[0094] In this implementation, two training samples are used for training respectively, and then the two training samples are integrated to obtain final training samples and test samples for final training.

[0095] In some embodiments, obtaining a third training sample and a test sample based on a plurality of first training samples and a plurality of second training samples may include: randomly sampling the plurality of first training samples and the plurality of second training samples to obtain a test sample, and classifying the plurality of first training samples and the plurality of second training samples according to the same sample label, selecting equal or unequal number of samples from each sample label, and integrating them into the third training sample.

[0096] Further, optimizing the training of the low-voltage fault location model trained three times according to the test samples may include: determining the accuracy of the low-voltage fault location model according to the test samples, and completing the training if the accuracy meets the preset requirements. Otherwise, selecting new training samples and performing optimization training until the accuracy meets the preset requirements.

[0097] Figure 3 is a schematic diagram of a model training according to an exemplary embodiment. Figure 3 As shown in the figure, the models are first trained using samples corresponding to different low-voltage fault causes. Then, mixed training samples and test samples are screened out using samples corresponding to different low-voltage fault causes. Next, the mixed training samples are used for training, and the model is continuously optimized based on the test samples.

[0098] Through the above implementation, the generalization ability of the model can be improved, so that it can be applicable to fault location in different situations.

[0099] Furthermore, the emergency repair decision unit can realize the active emergency repair function, which can be configured as: determining a first active emergency repair level according to the type of low-voltage fault; determining a second active emergency repair level according to the distribution network equipment indicated by the low-voltage fault location result; determining an active emergency repair strategy according to the first active emergency repair level, the second active emergency repair level and the preset correspondence, wherein the preset correspondence includes: multiple preset emergency repair levels and emergency repair strategies corresponding to multiple preset emergency repair levels, and the emergency repair strategies include emergency repair personnel information, emergency repair response time and emergency repair reference information.

[0100] In some embodiments, the proactive repair level may include three levels: low, medium, and high.

[0101] In some embodiments, the first fault type has a middle active repair level, the second fault type has a lowest active repair level, and the third fault type has a highest active repair level.

[0102] In some embodiments, different active repair levels corresponding to different distribution network devices may be preconfigured. Generally speaking, the more important the distribution network device is, the higher the active repair level is. Furthermore, based on the current distribution network device identifier, the corresponding active repair level may be determined.

[0103] For example, the active emergency repair level of the central type distribution network equipment is higher than the active emergency repair level of the edge type distribution network equipment.

[0104] In some embodiments, the emergency repair reference information may be some information used to assist in emergency repair, such as: line verification method, accessories required for line emergency repair, and other information.

[0105] In some embodiments, the higher active emergency repair level between the first active emergency repair level and the second active emergency repair level is determined as the final active emergency repair level. Then, the emergency repair strategy corresponding to the final active emergency repair level is determined through a preset corresponding relationship.

[0106] In some embodiments, different emergency repair levels correspond to different complexity and professionalism of emergency repair strategies. For example, a low active emergency repair level corresponds to an average professionalism of the emergency repair personnel, a longer emergency repair response time, and more emergency repair reference information to assist the emergency repair personnel in emergency repair. A high active emergency repair level corresponds to a high professionalism of the emergency repair personnel, a shorter emergency repair response time, and less emergency repair reference information to assist the emergency repair personnel in emergency repair in an appropriate amount.

[0107] In some embodiments, the preset corresponding relationship can be configured according to the emergency repair data of the historical record, and it can be updated accordingly as the emergency repair record data is updated.

[0108] Furthermore, after the active emergency repair strategy is determined, the active emergency repair strategy may be fed back to corresponding emergency repair personnel so that the emergency repair personnel can perform active emergency repair.

[0109] Figure 4 is a block diagram of another portable power distribution intelligent gateway operation and maintenance device according to an exemplary embodiment. Figure 4 On the basis shown, the device also includes: a visualization front end.

[0110] The visualization front end is connected to the intelligent gateway unit, the fault location unit and the emergency repair decision unit respectively. It can be a visualization device integrated on the device or a remote visualization device, such as a mobile device, which is not limited here.

[0111] Furthermore, the visualization front end is configured to visualize the distribution network data, low-voltage fault location results, and emergency repair strategies.

[0112] It can be understood that the visualization front end can display any data of the distribution network data, low-voltage fault location results and emergency repair strategies according to the visualization display requirements.

[0113] Therefore, the device also has a visual display function to facilitate understanding of the operation and maintenance data of the distribution network.

[0114] Through the above technical solution, the intelligent gateway unit is equivalent to the first-level operation and maintenance unit, which can make a preliminary determination of the low-voltage fault type and fault data; the fault location unit is equivalent to the second-level operation and maintenance unit, which can locate the low-voltage fault; the emergency repair decision unit is equivalent to the third-level operation and maintenance unit, which can formulate an active emergency repair strategy. Therefore, the device has the functions of low-voltage fault location and active emergency repair through hierarchical distribution network monitoring, and since the three units are used to realize different functions respectively, it can be regarded as an integrated portable power distribution intelligent gateway operation and maintenance device. Therefore, the portable power distribution intelligent gateway operation and maintenance device can realize accurate low-voltage fault location and formulate reasonable active emergency repair strategies, thereby improving the reliability, stability and safety of the distribution network.

[0115] Figure 5 is a flow chart of a method for operating and maintaining a power distribution intelligent gateway according to an exemplary embodiment. Figure 5 As shown, the method comprises the following steps: Step S51, acquiring distribution network data, and determining the low voltage fault type and fault data according to the distribution network data, wherein the low voltage fault type is used to characterize the cause of the low voltage fault in the distribution network.

[0116] Step S52, determining a low voltage fault location result according to the low voltage fault type and fault data, the low voltage fault location result is used to characterize the location where the low voltage fault occurs in the distribution network, and the location where the low voltage fault occurs is indicated by the distribution network equipment.

[0117] Step S53, determining an active emergency repair strategy according to the low voltage fault location result and the low voltage fault type, and executing the active emergency repair strategy.

[0118] It can be understood that the method can be understood as a method executed by the portable power distribution intelligent gateway operation and maintenance device as a whole.

[0119] Of course, this method can also be applied to other devices, such as power distribution network monitoring equipment, which is not limited here.

[0120] Figure 6 FIG. 6 is a block diagram of an electronic device 600 according to an exemplary embodiment. Figure 6 As shown, the electronic device 600 may include: a processor 601 , a memory 602 . The electronic device 600 may also include one or more of a multimedia component 603 , an input / output (I / O) interface 604 , and a communication component 605 .

[0121] Among them, the processor 601 is used to control the overall operation of the electronic device 600 to complete all or part of the steps in the above-mentioned power distribution intelligent gateway operation and maintenance method. The memory 602 is used to store various types of data to support the operation of the electronic device 600, and these data may include, for example, instructions for any application or method used to operate on the electronic device 600, and application-related data, such as contact data, messages sent and received, pictures, audio, video, etc. The memory 602 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read-Only Memory, referred to as EPROM), programmable read-only memory (Programmable Read-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic memory, flash memory, disk or optical disk. The multimedia component 603 may include a screen and an audio component. The screen may be, for example, a touch screen, and the audio component is used to output and / or input audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may be further stored in the memory 602 or sent through the communication component 605. The audio component also includes at least one speaker for outputting audio signals. The I / O interface 604 provides an interface between the processor 601 and other interface modules, and the above-mentioned other interface modules may be a keyboard, a mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 605 is used for wired or wireless communication between the electronic device 600 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G or 4G, or a combination of one or more of them, so the corresponding communication component 605 may include: Wi-Fi module, Bluetooth module, NFC module.

[0122] In an exemplary embodiment, the electronic device 600 may be implemented by one or more application specific integrated circuits (ASIC), digital signal processors (DSP), digital signal processing devices (DSPD), programmable logic devices (PLD), field programmable gate arrays (FPGA), controllers, microcontrollers, microprocessors or other electronic components to execute the above-mentioned XXXX method.

[0123] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided, and when the program instructions are executed by a processor, the steps of the above-mentioned power distribution intelligent gateway operation and maintenance method are implemented. For example, the computer-readable storage medium can be the above-mentioned memory 602 including program instructions, and the above-mentioned program instructions can be executed by the processor 601 of the electronic device 600 to complete the above-mentioned power distribution intelligent gateway operation and maintenance method.

[0124] In another exemplary embodiment, a computer program product is also provided, which includes a computer program that can be executed by a processor, and when the computer program is executed by the processor, the steps of the above-mentioned power distribution intelligent gateway operation and maintenance method are implemented.

[0125] The preferred embodiments of the present disclosure are described in detail above in conjunction with the accompanying drawings; however, the present disclosure is not limited to the specific details in the above embodiments. Within the technical concept of the present disclosure, a variety of simple modifications can be made to the technical solution of the present disclosure, and these simple modifications all fall within the protection scope of the present disclosure.

[0126] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the present disclosure will not further describe various possible combinations.

[0127] In addition, various embodiments of the present disclosure may be arbitrarily combined, and as long as they do not violate the concept of the present disclosure, they should also be regarded as the contents disclosed by the present disclosure.

Claims

1. A portable power distribution intelligent gateway operation and maintenance device with low-voltage fault location and active repair functions, characterized in that: include: An intelligent gateway unit is connected to the distribution network and is configured to obtain distribution network data and determine a low voltage fault type and fault data according to the distribution network data, wherein the low voltage fault type is used to characterize a cause of a low voltage fault in the distribution network; A fault location unit connected to the intelligent gateway unit and configured to determine a low-voltage fault location result according to the low-voltage fault type and the fault data, wherein the low-voltage fault location result is used to characterize a location where a low-voltage fault occurs in the distribution network, and the location where the low-voltage fault occurs is indicated by a distribution network device; The emergency repair decision unit is connected to the intelligent gateway unit and the fault location unit respectively, and is configured to determine an active emergency repair strategy according to the low voltage fault location result and the low voltage fault type, and execute the active emergency repair strategy.

2. The portable power distribution intelligent gateway operation and maintenance device according to claim 1 is characterized in that: The low voltage fault type includes a first fault type, a second fault type and a third fault type, wherein the first fault type is used to characterize a low voltage fault in the distribution network caused by a line fault, the second fault type is used to characterize a low voltage fault in the distribution network caused by an external reason, and the third fault type is used to characterize a low voltage fault in the distribution network caused by a line fault and an external reason; Correspondingly, when the low-voltage fault type is the first fault type, the fault data includes line data; when the low-voltage fault type is the second fault type, the fault data includes external environment impact data; when the low-voltage fault type is the third fault type, the fault data includes line data, external environment impact data, the corresponding impact weight of the line data and the corresponding impact weight of the external environment impact data.

3. The portable power distribution intelligent gateway operation and maintenance device according to claim 2 is characterized in that: The distribution network data includes: line data and external environment impact data, and the intelligent gateway unit is further configured to: comparing the line data with first preset abnormal line data; If the line data matches the first preset abnormal line data, the low voltage fault type is determined to be the first fault type, and the line data is determined to be the fault data; If the line data does not match the first preset abnormal line data, the line data is compared with the second preset abnormal line data, and the low voltage fault type and fault data are determined according to the comparison result.

4. The portable power distribution intelligent gateway operation and maintenance device according to claim 2, characterized in that: The intelligent gateway unit is further configured as: If the line data matches the second preset abnormal line data, the low voltage fault type is determined to be the third fault type, the line data and the external environment impact data are determined to be the fault data, and the corresponding impact weight of the line data and the corresponding impact weight of the external environment impact data are determined according to the mismatch between the line data and the first preset abnormal line data and the match between the line data and the second preset abnormal line data; If the line data does not match the second preset abnormal line data, comparing the external environment impact data with the preset abnormal external environment impact data; If the external environment impact data matches the preset abnormal external environment impact data, the low voltage fault type is determined to be the second fault type, and the external environment impact data is determined to be the fault data.

5. The portable power distribution intelligent gateway operation and maintenance device according to claim 2, characterized in that: The fault location unit is further configured to: Extracting a fault feature from the fault data according to the low voltage fault type, wherein the low voltage fault type is used to indicate a method for extracting the fault feature; A low voltage fault location result is determined according to the fault characteristics and a pre-trained low voltage fault location model.

6. The portable power distribution intelligent gateway operation and maintenance device according to claim 5, characterized in that: The fault location unit is further configured to: If the low voltage fault type is the first fault type, extracting abnormal line data and line data related to the abnormal line data from the line data as the fault feature; If the low voltage fault type is the second fault type, extracting abnormal environment impact data from the external environment impact data as the fault feature; If the low-voltage fault type is the third fault type, abnormal line data and line data related to the abnormal line data are extracted from the line data as the first fault feature, and abnormal environmental impact data is extracted from the external environmental impact data as the second fault feature. According to the corresponding impact weight of the line data and the corresponding impact weight of the external environmental impact data, the first fault feature and the second fault feature are combined to obtain the final fault feature.

7. The portable power distribution intelligent gateway operation and maintenance device according to claim 5, characterized in that: The fault location unit is further configured to: Acquire a training data set, the training data set comprising a plurality of first training samples and a plurality of second training samples, each first training sample comprising a first sample fault feature and a first sample label, each second training sample comprising a second sample fault feature and a second sample label, the first sample fault feature being a fault feature extracted based on line data, the second sample feature being a fault feature extracted based on external environment impact data, the first sample label and the second sample label respectively indicating a location where a low voltage fault occurs through a distribution network equipment identifier; The low-voltage fault location model to be trained is trained according to the training data set to obtain the pre-trained low-voltage fault model.

8. The portable power distribution intelligent gateway operation and maintenance device according to claim 7, characterized in that: The fault location unit is further configured to: Performing initial training on the low-voltage fault location model to be trained according to the multiple first training samples to obtain an initially trained low-voltage fault location model; According to the plurality of second training samples, performing secondary training on the initially trained low-voltage fault location model to obtain a secondary trained low-voltage fault location model; Obtaining a third training sample and a test sample according to the plurality of first training samples and the plurality of second training samples; According to the third training sample, the low-voltage fault location model trained twice is trained three times to obtain a low-voltage fault location model trained three times; According to the test samples, the three trained low-voltage fault location models are optimized and trained to obtain the pre-trained low-voltage fault location model.

9. The portable power distribution intelligent gateway operation and maintenance device according to claim 1, characterized in that: The emergency repair decision unit is further configured to: Determining a first proactive emergency repair level according to the low voltage fault type; Determining a second active emergency repair level according to the distribution network equipment indicated by the low-voltage fault locating result; An active emergency repair strategy is determined according to the first active emergency repair level, the second active emergency repair level and a preset correspondence, wherein the preset correspondence includes: multiple preset emergency repair levels and emergency repair strategies corresponding to the multiple preset emergency repair levels, and the emergency repair strategy includes emergency repair personnel information, emergency repair response time and emergency repair reference information.

10. The portable power distribution intelligent gateway operation and maintenance device according to claim 1, characterized in that: The portable power distribution intelligent gateway operation and maintenance device also includes: A visualization front end, wherein the visualization front end is connected to the intelligent gateway unit, the fault location unit and the emergency repair decision unit respectively, and the visualization front end is configured to visualize the distribution network data, the low-voltage fault location result and the emergency repair strategy.

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