CN110851670A - Underground cable fault repairing method and device - Google Patents
Underground cable fault repairing method and device Download PDFInfo
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Abstract
The invention discloses a method and a device for repairing underground cable faults, wherein the method comprises the following steps: acquiring current environment data and current operation data of the underground cable through an underground cable acquisition system; inputting the current environment data and the current operation data into a fault type recognition model trained in advance to obtain a single model result; obtaining an optimal single model according to the single model result and a model result selector obtained by pre-training, taking the single model result corresponding to the optimal single model as a target fault type, and inquiring a repair scheme corresponding to the target fault type; acquiring position information of the underground cable; and sending the inquired repairing scheme to a terminal corresponding to the position information. By adopting the method, the fault repairing efficiency of the underground cable can be improved.
Description
Technical Field
The invention relates to a method and a device for repairing underground cable faults, and belongs to the field of big data processing.
Background
Cables buried underground are often exploded due to the temperature rise of the cables during power transmission; or, the cable is damaged due to water inflow of the underground laying pipeline, so that normal transmission of the cable is influenced.
In the conventional technology, in order to monitor underground cables, the cables need to be manually checked one by one, and after a fault is found out, the cable needs to be concluded, so that a corresponding repair scheme is obtained, and the efficiency is low.
Disclosure of Invention
In view of the above problems in the prior art, an object of the present invention is to provide a method and an apparatus for repairing a fault of an underground cable.
In order to achieve the purpose, the invention adopts the following technical scheme:
a method of underground cable fault repair, the method comprising:
acquiring current environment data and current operation data of the underground cable through an underground cable acquisition system;
inputting the current environment data and the current operation data into a plurality of fault type recognition models which are trained in advance to obtain a single model result;
obtaining an optimal single model according to the single model result and a model result selector obtained by pre-training, and taking a single model result corresponding to the optimal single model as a target fault type;
inquiring a repair scheme corresponding to the target fault type;
acquiring position information of the underground cable;
and sending the inquired repairing scheme to a terminal corresponding to the position information.
In one embodiment, the generation manner of the fault type identification model includes:
acquiring historical environment data, historical operation data and corresponding historical fault types corresponding to the underground cable;
cleaning the historical environment data and the historical operation data;
training the cleaned historical environment data, historical operation data and corresponding historical fault types to obtain a fault type identification model;
the training mode of the model result selector comprises the following steps:
inputting the cleaned historical environment data and historical operation data into a plurality of fault type identification models to obtain a single model comparison result;
obtaining an optimal single model comparison result according to the similarity between the single model comparison result and the historical fault information;
and learning the optimal comparison result, the single model comparison result, the historical fault information, the cleaned historical environmental data and the historical operating data to obtain a model result selector.
In one embodiment, the inputting the current environment data and the current operation data into a plurality of fault type recognition models trained in advance to obtain a single model result includes:
acquiring the number of fault type identification models which can carry out fault prediction currently;
selecting a corresponding number of idle threads from a preset thread pool according to the number;
and inputting the current environment data and the current operation data into fault type recognition models trained in advance in the idle threads to obtain single model results, and operating one fault type recognition model in each idle thread.
In one embodiment, the querying a repair scenario corresponding to the fault type includes:
acquiring a plurality of repair schemes corresponding to the fault types;
sorting the repair schemes according to the obtained historical use times of the repair schemes;
and acquiring the repair scheme with the most historical use times as the repair scheme corresponding to the fault type according to the sequencing result.
In one embodiment, the querying a repair scenario corresponding to the fault type includes:
acquiring a plurality of repair schemes corresponding to the fault types;
and extracting the most recently used repair scheme from the plurality of repair schemes as the repair scheme corresponding to the fault type.
In one embodiment, after obtaining the location information of the underground cable, the method further includes:
acquiring a city map corresponding to the position information of the underground cable;
positioning the position of the cable in the city map according to the position of the underground cable, and displaying the cable through an early warning mark to obtain early warning information;
the sending the queried repair scheme to the terminal corresponding to the location information includes:
and sending the early warning information and the inquired repairing scheme to a terminal corresponding to the position information.
In one embodiment, the current environmental data includes one or more of temperature data, water sensitivity data, ambient gas data, and displacement data, and the operational data includes, but is not limited to, partial discharge signals.
A subterranean cable fault remediation device, the device comprising:
the acquisition module is used for acquiring current environmental data and current operation data of the underground cable through the underground cable acquisition system;
the single model recognition module is used for inputting the current environment data and the current operation data into a fault type recognition model which is trained in advance to obtain a single model result;
the comprehensive identification module is used for obtaining an optimal single model according to the single model result and a model result selector obtained through pre-training, and taking a single model result corresponding to the optimal single model as a target fault type;
the query module is used for querying a repair scheme corresponding to the target fault type;
the position acquisition module is used for acquiring the position information of the underground cable;
and the sending module is used for sending the inquired repairing scheme to the terminal corresponding to the position information.
A computer device comprising a memory storing a computer program and a processor implementing the steps of any of the methods described above when the processor executes the computer program.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method of any of the above.
Compared with the prior art, the underground cable fault repairing method and device provided by the invention have the following advantages:
the method comprises the steps that current environment data and current operation data of the underground cable are collected through an underground cable collection system; inputting the current environment data and the current operation data into a fault type recognition model trained in advance to obtain a single model recognition result; then, an optimal single model is obtained according to the single model identification result and the model selector, so that a target fault type can be obtained according to the single model identification result of the optimal single model, and a repair scheme corresponding to the target fault type is inquired; acquiring position information of the underground cable; and sending the inquired restoration scheme to a terminal corresponding to the position information, so that a target fault type can be obtained through a preset model, and a corresponding restoration scheme can be obtained according to the corresponding relation between the target fault type and the restoration scheme stored in the system in advance, so that the underground cable can be restored according to the restoration scheme, and the restoration efficiency of the underground cable is improved.
Drawings
FIG. 1 is a diagram of an environment in which the method of the present invention for repairing a cable fault in an underground environment is applied;
FIG. 2 is a flow chart of a method of underground cable fault remediation as provided by the present invention;
FIG. 3 is a block diagram of an underground cable fault remediation device according to the present invention;
FIG. 4 is a block diagram of a computer device provided by the present invention.
Detailed Description
The present invention will be described more fully with reference to the following examples and comparative examples.
The underground cable fault repairing method provided by the application can be applied to the application environment shown in figure 1. The underground cable collection system 102 communicates with the server 104 through a network, and the monitoring terminal 106 communicates with the server through the network. The underground cable acquisition system is used for acquiring current environment data and current operation data of an underground cable and sending the acquired current environment data and current operation data to the server 104, so that the server can input the current environment data and the current operation data into a pre-trained fault type identification model to obtain a single model identification result; and then, an optimal single model is obtained according to the single model identification result and the model selector, so that a target fault type can be obtained according to the single model identification result of the optimal single model, and then a repair scheme corresponding to the target fault type is inquired. The monitoring terminal 106 may be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices, and the server 104 may be implemented by an independent server or a server cluster composed of a plurality of servers.
In one embodiment, as shown in fig. 2, a method for repairing a fault of a underground cable is provided, which is described by taking the method as an example applied to the server in fig. 1, and includes the following steps:
s202: and acquiring current environment data and current operation data of the underground cable through an underground cable acquisition system.
Specifically, the current environmental data includes one or more of temperature data, water-sensitive data, environmental gas data, and displacement data, the operation data includes, but is not limited to, partial discharge signals, and the current operation data refers to the magnitude of current in the underground cable. Underground cable collection systems are installed underground, for example, at the junction of underground cables, and are used for collecting environmental data and operational data at the junction of underground cables. After the underground cable acquisition system acquires the environmental data and the operation data of the underground cable, the environmental data and the operation data are sent to the server, so that the server can judge whether the underground cable breaks down or not after processing. In order to ensure the data queryability, the underground cable acquisition system and the geographical position of the underground cable are sent to the server together when sending data, and optionally, the label of the underground cable can be preset, and the corresponding relation between the label and the position of the underground cable is established, so that when the service receives the data sent by the underground cable acquisition system with a certain label, the geographical position information corresponding to the underground cable can be queried according to the label.
S204: and inputting the current environment data and the current operation data into a fault type recognition model trained in advance to obtain a single model result.
S205: and obtaining an optimal single model according to the single model result and a model result selector obtained by pre-training, and taking a single model result corresponding to the optimal single model as a target fault type.
Specifically, the fault type identification model is a training model for judging the type of the fault of the underground cable generated according to historical data, the input of the model is current environment data and current operation data, and the output is the type of the fault of the underground cable and the probability of the type, namely the single model result. The server inputs the current environment data and the current operation data into a fault type recognition model trained in advance to obtain each fault type and corresponding probability, and then the server can select a fault type with the highest occurrence probability of the known faults as the recognized initial fault type. Optionally, when the fault type identification model processes the current environment data and the current operation data, the current environment data may be compared with the environment data of the historical fault during the training of the model, the current operation data may be compared with the operation data of the historical fault, so as to obtain the similarity, and then all the similarities are integrated to obtain the result of the initial fault type. Then, the server obtains an optimal single model according to the initial fault type and the model result selector obtained through pre-training, for example, the initial fault type is input to the model result selector, so that the model result selector can obtain the optimal single model according to the initial fault type and the plurality of fault type identification models. For example, the model result selector may obtain the one with the highest probability among a certain type of initial fault types as the optimal single model according to the initial fault types. Or the weight corresponding to each single model is obtained comprehensively according to a pre-trained model result selector, and then the weight corresponding to each single model is obtained according to the weight and the probability of a certain type of initial fault type, so that the server obtains the single model with the largest weight as the optimal single model.
S206: and inquiring a repair scheme corresponding to the target fault type.
Specifically, after the server determines the target fault type, the server may query a repair scheme corresponding to the fault according to the target fault type, that is, the server stores a correspondence between the target fault type and the repair scheme in advance, where the correspondence may be a stored repair scheme adopted by the user after the server determines the underground cable fault each time, that is, the server acquires a corresponding used repair scheme each time the underground cable fails, and establishes a correspondence between the target fault type and the repair scheme.
S208: position information of the underground cable is acquired.
S210: and sending the inquired repairing plan to a terminal corresponding to the position information.
After the server acquires the repair scheme, in order to send the repair scheme to the corresponding terminal, the server first acquires the position information of the underground cable, the acquisition mode of the position information of the underground cable can be referred to above, then acquires the terminal corresponding to the position information, such as the corresponding power grid platform, and finally sends the inquired repair scheme to the terminal, so that the corresponding terminal can process the failed underground cable according to the repair scheme.
According to the underground cable fault repairing method, the current environment data and the current operation data of the underground cable are collected, the collected current environment data and the collected current operation data of the underground cable are input into the pre-trained fault type recognition model, then the optimal single model is obtained according to the single model result and the pre-trained model result selector, the single model result corresponding to the optimal single model is used as the target fault type, the repairing scheme is obtained according to the target fault type, the repairing scheme is sent to the terminal of the position information corresponding to the fault, manual cable troubleshooting is not needed, and efficiency is improved.
In one embodiment, the generation manner of the fault type identification model includes: acquiring historical environment data, historical operation data and corresponding historical target fault types corresponding to the underground cable; cleaning the historical environment data and the historical operation data; and training the cleaned historical environment data, historical operation data and corresponding historical target fault types to obtain a fault type identification model. The training mode of the model result selector comprises the following steps: inputting the cleaned historical environment data and historical operation data into a plurality of fault type identification models to obtain a single model comparison result; obtaining an optimal single model comparison result according to the similarity between the single model comparison result and the historical fault information; and learning the optimal comparison result, the single model comparison result, the historical fault information, the cleaned historical environmental data and the historical operating data to obtain a model result selector.
In one embodiment, the inputting the current environment data and the current operation data into a plurality of fault type recognition models trained in advance to obtain a single model result includes: acquiring the number of fault type identification models which can carry out fault prediction currently; selecting a corresponding number of idle threads from a preset thread pool according to the number; and inputting the current environment data and the current operation data into fault type recognition models trained in advance in the idle threads to obtain single model results, and operating one fault type recognition model in each idle thread.
Specifically, the server may obtain historical environment data, historical operating data, and corresponding historical target fault types corresponding to the underground cable, that is, one historical environment data, one historical operating data, and one historical target fault type corresponding to one historical operating data, and then wash the historical environment data and the historical operating data. The cleaning process comprises deleting empty data in the historical environment data and the historical operation data. And finally, the server performs learning training on the historical environment data, the historical operation data and the historical target fault type to obtain a final fault type recognition model.
In order to ensure the accuracy of prediction, a plurality of single models can be trained, so that the server inputs the current environment data and the current operation data into a plurality of fault type identification models to obtain a plurality of single model results, and optionally, the server can process the fault type identification models in a parallel processing mode, so that the processing efficiency can be improved. For example, the server first determines the number of models that can be currently used for single model prediction, which is due to the development of technology, more models can be added to ensure the validity of data, then a preset number of idle threads are obtained from a thread pool according to the number, and then processing is performed according to the selected threads to obtain a plurality of single model results.
Optionally, the server may input the current environment data and the current operating data into a fault type identification model trained in advance to obtain a fault prediction result, compare the fault prediction result with a predetermined threshold, and if the fault prediction result is greater than the threshold, take a fault type corresponding to the result greater than the threshold as a single model result. Optionally, when the fault type identification model processes the current environment data and the current operation data, the current environment data may be compared with the environment data of the historical fault during the training of the model, the current operation data may be compared with the operation data of the historical fault, so as to obtain the similarity, and then all the similarities are integrated to obtain the single model result.
Specifically, the process of identifying the target fault type by the server through the fault type identification model may be that the server first calculates the probability corresponding to each target fault type according to the current environmental data and the current operating data, for example, a probability is calculated based on each of the current environmental data and the current operational data, such as a first probability based on the water sensitivity information, obtaining a second probability based on the temperature data, a third probability based on the displacement data, a fourth probability based on the current data, the first, second, third and fourth probabilities are then ranked, such that the server selects the maximum probability from the first, second, third and fourth probabilities, and acquiring a target fault type corresponding to the maximum probability, and taking the target fault type as a finally identified fault model.
The training mode of the model selector comprises the following steps: inputting the cleaned historical environment data and historical operation data into a plurality of fault type identification models to obtain a single model comparison result; obtaining an optimal single model comparison result according to the similarity between the single model comparison result and the historical fault information; and learning the optimal comparison result, the single model comparison result, the historical fault information, the cleaned historical environmental data and the historical operating data to obtain a model result selector.
In the embodiment, a training mode of the fault type identification model is provided, the fault type identification model fully considers historical data and summarizes rules of the historical data, and therefore prediction of current data is more accurate.
In one embodiment, the querying a repair scenario corresponding to the target failure type includes: acquiring a plurality of repair schemes corresponding to the target fault types; sorting the repair schemes according to the obtained historical use times of the repair schemes; and acquiring the repair scheme with the most historical use times as the repair scheme corresponding to the target fault type according to the sequencing result.
In one embodiment, the querying a repair scenario corresponding to the target failure type includes: acquiring a plurality of repair schemes corresponding to the target fault types; and extracting a recently used repair scheme from the multiple repair schemes to serve as the repair scheme corresponding to the target fault type.
Specifically, when the server queries the repair solution corresponding to the target fault type, there are two ways, the first is to use the most commonly used repair solution as the last repair solution, and the second is to select the latest repair solution as the last repair solution. In the first method, after the server acquires the target fault type, the server firstly acquires a plurality of repair schemes corresponding to the target fault type, then sorts the repair schemes according to the use times of the repair schemes, and finally selects the repair scheme with the largest use time as the final repair scheme according to the sorting result. In the second method, after the server acquires the target fault type, the server firstly acquires a plurality of repair schemes corresponding to the target fault type, then acquires the service time corresponding to each repair scheme, and takes the recently used repair scheme as the repair scheme corresponding to the target fault type.
In the above embodiment, the corresponding repair scheme is selected according to different strategies, no additional operation is required, simplicity and convenience are realized, and the efficiency is improved.
In one embodiment, after obtaining the location information of the underground cable, the method further comprises: acquiring a city map corresponding to the position information of the underground cable; and positioning the position of the cable in the city map according to the position of the underground cable, and displaying the cable through the early warning mark to obtain early warning information. The terminal which sends the inquired repairing scheme to correspond to the position information comprises the following steps: and sending the early warning information and the inquired repairing scheme to a terminal corresponding to the position information.
Specifically, in order to implement visualization processing, after it is determined that an underground cable has a fault, the server acquires a city map, which may also be an area map, corresponding to the position information of the underground cable, so that the server locates the position of the underground cable in the city map, and then displays the position by using an early warning identifier, such as an exclamation mark. And the server sends the inquired repair scheme to the terminal, so that the terminal can display an icon corresponding to the repair scheme at a position corresponding to the early warning identifier, and a user calls out detailed content of the repair scheme by clicking the icon of the repair scheme.
In the embodiment, the fault information is displayed in the city map, so that the method is more intuitive.
It should be understood that, although the steps in the flowchart of fig. 2 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in fig. 2 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
In one embodiment, there is provided an underground cable fault warning apparatus including: the system comprises an acquisition module 100, a single model identification module 200, a comprehensive identification module 300, a query module 400, a position information acquisition module 500 and a sending module 600, wherein:
the system comprises an acquisition module 100, a data processing module and a data processing module, wherein the acquisition module is used for acquiring current environment data and current operation data of an underground cable through an underground cable acquisition system;
the single model identification module 200 is configured to input the current environment data and the current operation data into a fault type identification model trained in advance to obtain a target fault type;
and the comprehensive identification module 300 is used for obtaining an optimal single model according to the single model result and a model result selector obtained by pre-training, and taking a single model result corresponding to the optimal single model as a target fault type.
A query module 400, configured to query a repair scenario corresponding to the target fault type;
a position acquisition module 500 for acquiring position information of the underground cable;
a sending module 600, configured to send the queried repair scheme to the terminal corresponding to the location information.
In one embodiment, the apparatus further comprises:
the historical data acquisition module is used for acquiring historical environmental data, historical operating data and corresponding historical target fault types corresponding to the underground cable;
the cleaning module is used for cleaning the historical environment data and the historical operation data;
the first training module is used for training the washed historical environment data, historical operation data and corresponding historical target fault types to obtain a fault type identification model;
the single model comparison result acquisition module is used for inputting the cleaned historical environment data and historical operation data into the plurality of fault type identification models to obtain a single model comparison result;
the similarity obtaining module is used for obtaining an optimal single model comparison result according to the similarity between the single model comparison result and the historical fault information;
and the second training module is used for learning the optimal comparison result, the single model comparison result, the historical fault information, the cleaned historical environmental data and the historical operating data to obtain a model result selector.
In one embodiment, the single model identification module 200 includes:
the quantity obtaining unit is used for obtaining the quantity of fault type identification models which can carry out fault prediction currently;
the thread selecting unit is used for selecting the idle threads with the corresponding number from a preset thread pool according to the number;
and the operation unit is used for inputting the current environment data and the current operation data into a fault type identification model which is trained in advance in the idle threads to obtain a single model result, and one fault type identification model is operated in each idle thread.
In one embodiment, the query module comprises:
a first scheme obtaining unit, configured to obtain multiple repair schemes corresponding to the target fault type;
the sorting unit is used for sorting the repair schemes according to the acquired historical use times of the repair schemes;
and the second output unit is used for acquiring the repair scheme with the largest historical use times according to the sequencing result as the repair scheme corresponding to the target fault type.
In one embodiment, the query module comprises:
a second scheme obtaining unit, configured to obtain multiple repair schemes corresponding to the target fault type;
and the second output unit is used for extracting a recently used repair scheme from the multiple repair schemes as a repair scheme corresponding to the target fault type.
In one embodiment, the apparatus further comprises:
the map acquisition module is used for acquiring a city map corresponding to the position information of the underground cable;
the early warning information generation module is used for positioning the position of the cable in the city map according to the position of the underground cable and displaying the cable through an early warning mark to obtain early warning information;
the sending module is further configured to send the early warning information and the queried repair scheme to a terminal corresponding to the location information.
In one embodiment, the current environmental data includes one or more of temperature data, water sensitivity data, ambient gas data, and displacement data, and the operational data includes, but is not limited to, partial discharge signals.
For specific definition of the underground cable fault repairing device, reference may be made to the above definition of the underground cable fault repairing method, which is not described herein again. The modules in the underground cable fault repairing device can be wholly or partially realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, there is provided a computer device comprising a memory storing a computer program and a processor implementing the following steps when the processor executes the computer program: acquiring current environment data and current operation data of the underground cable through an underground cable acquisition system; inputting the current environment data and the current operation data into a fault type recognition model trained in advance to obtain a single model result; obtaining an optimal single model according to the single model result and a model result selector obtained by pre-training, and taking a single model result corresponding to the optimal single model as a target fault type; inquiring a repair scheme corresponding to the target fault type; acquiring position information of the underground cable; and sending the inquired repairing scheme to a terminal corresponding to the position information.
In one embodiment, the manner in which the fault type identification model is generated as implemented by a processor executing a computer program comprises: acquiring historical environment data, historical operation data and corresponding historical fault types corresponding to the underground cable; cleaning the historical environment data and the historical operation data; training the cleaned historical environment data, historical operation data and corresponding historical fault types to obtain a fault type identification model; the training mode of the model result selector realized when the processor executes the computer program comprises the following steps: inputting the cleaned historical environment data and historical operation data into a plurality of fault type identification models to obtain a single model comparison result; obtaining an optimal single model comparison result according to the similarity between the single model comparison result and the historical fault information; and learning the optimal comparison result, the single model comparison result, the historical fault information, the cleaned historical environmental data and the historical operating data to obtain a model result selector.
In one embodiment, the inputting the current environmental data and the current operating data into a plurality of pre-trained fault type identification models to obtain a single model result, implemented when the processor executes the computer program, includes: acquiring the number of fault type identification models which can carry out fault prediction currently; selecting a corresponding number of idle threads from a preset thread pool according to the number; and inputting the current environment data and the current operation data into fault type recognition models trained in advance in the idle threads to obtain single model results, and operating one fault type recognition model in each idle thread.
In one embodiment, the querying, implemented by a processor executing a computer program, a repair scenario corresponding to the target failure type includes: acquiring a plurality of repair schemes corresponding to the target fault types; sorting the repair schemes according to the obtained historical use times of the repair schemes; and acquiring the repair scheme with the most historical use times as the repair scheme corresponding to the target fault type according to the sequencing result.
In one embodiment, the querying, implemented by a processor executing a computer program, a repair scenario corresponding to the target failure type includes: acquiring a plurality of repair schemes corresponding to the target fault types; and extracting a recently used repair scheme from the multiple repair schemes to serve as the repair scheme corresponding to the target fault type.
In one embodiment, said obtaining the location information of the underground cable, implemented when the processor executes the computer program, further comprises: acquiring a city map corresponding to the position information of the underground cable; and positioning the position of the cable in the city map according to the position of the underground cable, and displaying the cable through an early warning mark to obtain early warning information. The terminal for sending the queried repair solution to the location information, which is realized when the processor executes the computer program, includes: and sending the early warning information and the inquired repairing scheme to a terminal corresponding to the position information.
In one embodiment, said current environmental data involved in the execution of the computer program by the processor comprises one or more of temperature data, water sensitive data, ambient gas data and displacement data, said operational data including, but not limited to, partial discharge signals.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of: acquiring current environment data and current operation data of the underground cable through an underground cable acquisition system; inputting the current environment data and the current operation data into a fault type recognition model which is trained in advance to obtain a single model result, obtaining an optimal single model according to the single model result and a model result selector which is trained in advance, and taking a single model result corresponding to the optimal single model as a target fault type; inquiring a repair scheme corresponding to the target fault type; acquiring position information of the underground cable; and sending the inquired repairing scheme to a terminal corresponding to the position information.
In one embodiment, the manner in which the fault type identification model is generated when the computer program is executed by the processor comprises: acquiring historical environment data, historical operation data and corresponding historical fault types corresponding to the underground cable; cleaning the historical environment data and the historical operation data; training the cleaned historical environment data, historical operation data and corresponding historical fault types to obtain a fault type identification model; the computer program when executed by a processor implements a training mode for the model result selector comprising: inputting the cleaned historical environment data and historical operation data into a plurality of fault type identification models to obtain a single model comparison result; obtaining an optimal single model comparison result according to the similarity between the single model comparison result and the historical fault information; and learning the optimal comparison result, the single model comparison result, the historical fault information, the cleaned historical environmental data and the historical operating data to obtain a model result selector.
In one embodiment, the inputting of the current environmental data and the current operational data into a plurality of pre-trained fault type identification models implemented when a computer program is executed by a processor results in a single model result, comprising: acquiring the number of fault type identification models which can carry out fault prediction currently; selecting a corresponding number of idle threads from a preset thread pool according to the number; and inputting the current environment data and the current operation data into fault type recognition models trained in advance in the idle threads to obtain single model results, and operating one fault type recognition model in each idle thread.
In one embodiment, the querying, when implemented by a processor, of a repair solution corresponding to the target failure type includes: acquiring a plurality of repair schemes corresponding to the target fault types; sorting the repair schemes according to the obtained historical use times of the repair schemes; and acquiring the repair scheme with the most historical use times as the repair scheme corresponding to the target fault type according to the sequencing result.
In one embodiment, the querying, when implemented by a processor, of a repair solution corresponding to the target failure type includes: acquiring a plurality of repair schemes corresponding to the target fault types; and extracting a recently used repair scheme from the multiple repair schemes to serve as the repair scheme corresponding to the target fault type.
In one embodiment, said obtaining location information of said underground cable, implemented when the computer program is executed by the processor, further comprises: acquiring a city map corresponding to the position information of the underground cable; and positioning the position of the cable in the city map according to the position of the underground cable, and displaying the cable through an early warning mark to obtain early warning information. The terminal for transmitting the queried repair solution to correspond to the location information, which is realized when the computer program is executed by the processor, comprises: and sending the early warning information and the inquired repairing scheme to a terminal corresponding to the position information.
In one embodiment, the current environmental data to which the computer program is executed by the processor includes one or more of temperature data, water sensitive data, ambient gas data, and displacement data, and the operational data includes, but is not limited to, a partial discharge signal.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware related to instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above examples only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A method of underground cable fault remediation, the method comprising:
acquiring current environment data and current operation data of the underground cable through an underground cable acquisition system;
inputting the current environment data and the current operation data into a plurality of fault type recognition models which are trained in advance to obtain a single model result;
obtaining an optimal single model according to the single model result and a model result selector obtained by pre-training, and taking a single model result corresponding to the optimal single model as a target fault type;
inquiring a repair scheme corresponding to the target fault type;
acquiring position information of the underground cable;
and sending the inquired repairing scheme to a terminal corresponding to the position information.
2. The method of claim 1, wherein the fault type identification model is generated in a manner comprising:
acquiring historical environment data, historical operation data and corresponding historical fault types corresponding to the underground cable;
cleaning the historical environment data and the historical operation data;
training the cleaned historical environment data, historical operation data and corresponding historical fault types to obtain a fault type identification model;
the training mode of the model result selector comprises the following steps:
inputting the cleaned historical environment data and historical operation data into a plurality of fault type identification models to obtain a single model comparison result;
obtaining an optimal single model comparison result according to the similarity between the single model comparison result and the historical fault information;
and learning the optimal comparison result, the single model comparison result, the historical fault information, the cleaned historical environmental data and the historical operating data to obtain a model result selector.
3. The method of claim 2, wherein inputting the current environmental data and the current operational data into a plurality of pre-trained fault type recognition models results in a single model result, comprising:
acquiring the number of fault type identification models which can carry out fault prediction currently;
selecting a corresponding number of idle threads from a preset thread pool according to the number;
and inputting the current environment data and the current operation data into fault type recognition models trained in advance in the idle threads to obtain single model results, and operating one fault type recognition model in each idle thread.
4. The method of claim 1, wherein querying a repair scenario corresponding to the type of failure comprises:
acquiring a plurality of repair schemes corresponding to the fault types;
sorting the repair schemes according to the obtained historical use times of the repair schemes;
and acquiring the repair scheme with the most historical use times as the repair scheme corresponding to the fault type according to the sequencing result.
5. The method of claim 1, wherein querying a repair scenario corresponding to the type of failure comprises:
acquiring a plurality of repair schemes corresponding to the fault types;
and extracting the most recently used repair scheme from the plurality of repair schemes as the repair scheme corresponding to the fault type.
6. The method of any one of claims 1 to 5, wherein after obtaining the location information of the underground cable, further comprising:
acquiring a city map corresponding to the position information of the underground cable;
positioning the position of the cable in the city map according to the position of the underground cable, and displaying the cable through an early warning mark to obtain early warning information;
the sending the queried repair scheme to the terminal corresponding to the location information includes:
and sending the early warning information and the inquired repairing scheme to a terminal corresponding to the position information.
7. The method of any one of claims 1 to 5, wherein the current environmental data comprises one or more of temperature data, water sensitive data, ambient gas data, and displacement data, and wherein the operational data includes, but is not limited to, partial discharge signals.
8. A subterranean cable fault repair device, the device comprising:
the acquisition module is used for acquiring current environmental data and current operation data of the underground cable through the underground cable acquisition system;
the single model recognition module is used for inputting the current environment data and the current operation data into a fault type recognition model which is trained in advance to obtain a single model result;
the comprehensive identification module is used for obtaining an optimal single model according to the single model result and a model result selector obtained through pre-training, and taking a single model result corresponding to the optimal single model as a target fault type;
the query module is used for querying a repair scheme corresponding to the target fault type;
the position acquisition module is used for acquiring the position information of the underground cable;
and the sending module is used for sending the inquired repairing scheme to the terminal corresponding to the position information.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
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