CN115395646A - Intelligent operation and maintenance system of digital twin traction substation - Google Patents

Abstract

The invention provides an intelligent operation and maintenance system of a digital twin traction substation, which comprises: the model building module is used for scanning the traction substation equipment and the environment based on a preset device and building a three-dimensional visual mapping model according to a target proportion based on a scanning result; the fusion module is used for acquiring the operation data of the traction substation equipment and performing correlation mapping on the operation data in the three-dimensional visual mapping model based on a digital twinning technology; and the operation and maintenance module is used for evaluating the operation state of the traction substation equipment based on the correlation mapping result, operating and maintaining the traction substation equipment based on the evaluation result, and generating an equipment operation and maintenance report. By carrying out model simulation on the traction substation, faults and leaks can be conveniently and timely found, the inspection maintenance quality of equipment of the traction substation is greatly improved, the labor intensity of personnel is reduced, and meanwhile, the purposes of unattended operation and productivity liberation of the traction substation can be realized.

Description

Intelligent operation and maintenance system of digital twin traction substation

Technical Field

The invention relates to the technical field of operation and maintenance control of a substation, in particular to an intelligent operation and maintenance system of a digital twin traction substation.

Background

At present, along with the deep innovation of a railway system management system in recent years, the automation technology of a traction substation is continuously improved, power supply equipment realizes network communication with a computer system, and meanwhile, each department and each unit of the power supply system also establish a corresponding special network;

the problems that the corrosion oxidation contact of a wire clamp of a main conductive circuit is poor, the temperature is too high, the air pressure of a sulfur hexafluoride breaker is reduced, the oil level is low due to oil leakage of a transformer, the operation is poor in heat dissipation, the service life is influenced due to high oil temperature and the like exist in the daily operation process of power supply equipment of a traction substation, the daily inspection quality of an attended person in the substation is not high, the hidden danger defect in the operation process of the equipment cannot be found in time, in addition, the operation inspection and maintenance personnel which are large in the volume of the equipment and are attached to the substation are not enough, the key point of a repair experiment is not prominent according to the maintenance rule period, and the equipment which is not high in quality is in trouble operation due to the high inspection quality;

in the existing traction substation, except for an integrated automatic system, various online monitoring systems do not form an organic whole due to interface protocols and other reasons, the number of the existing online monitoring systems is limited, and traction substation equipment cannot effectively and comprehensively monitor, so that the traction substation cannot be maintained in time, and serious loss is caused;

therefore, the invention provides a digital twin type traction substation intelligent operation and maintenance system which is used for conducting model simulation on a traction substation, facilitating timely fault and leak finding, greatly improving the inspection and maintenance quality of equipment of the traction substation, reducing the labor intensity of personnel, and meanwhile achieving the purposes of unattended operation of the traction substation and releasing productivity.

Disclosure of Invention

The invention provides a digital twin type traction substation intelligent operation and maintenance system which is used for performing model simulation on a traction substation, facilitating timely fault and leak searching, greatly improving the inspection and maintenance quality of equipment of the traction substation, reducing the labor intensity of personnel, and simultaneously achieving the purposes of unattended operation and productivity liberation of the traction substation.

The invention provides an intelligent operation and maintenance system of a digital twin traction substation, which comprises:

the model construction module is used for scanning the traction substation equipment and the environment based on a preset device and constructing a three-dimensional visual mapping model set according to a target proportion based on a scanning result;

the fusion module is used for acquiring the operation data of the traction substation equipment and performing association mapping on the operation data in the three-dimensional visual mapping model set based on a digital twinning technology;

and the operation and maintenance module is used for evaluating the operation state of the traction substation equipment based on the correlation mapping result, operating and maintaining the traction substation equipment based on the evaluation result, and generating an equipment operation and maintenance report.

Preferably, a digital twin formula traction substation intelligence operation and maintenance system, the model construction module includes:

the scanning unit is used for acquiring a scene map of a traction substation and determining the distribution condition of the traction substation equipment in the traction substation based on the scene map;

the scanning unit is used for controlling the unmanned aerial vehicle and the laser scanner to scan the environment of the traction substation equipment and the environment of the traction substation based on the distribution situation to obtain a target three-dimensional image and transmitting the target three-dimensional image to the management terminal;

and the model processing unit is used for processing the target three-dimensional image, determining point cloud data of the environments of the traction substation equipment and the traction substation, and constructing a three-dimensional visual mapping model set of the environments of the traction substation equipment and the traction substation according to a target proportion in a preset mode based on the point cloud data.

Preferably, the intelligent operation and maintenance system of the digital twin traction substation comprises a model processing unit and a control unit, wherein the model processing unit comprises:

the image acquisition subunit is used for acquiring a target three-dimensional image and determining the resolution of the target three-dimensional image, and when the resolution is smaller than a preset threshold value, the image acquisition subunit decodes the target three-dimensional image;

the resolution adjusting subunit is used for determining a difference value between the resolution and a preset threshold, adjusting image parameters of the target three-dimensional image according to the difference value based on a decoding result, and reconstructing the target three-dimensional image after parameter adjustment;

the image processing subunit is used for determining a target plane corresponding to the traction substation equipment and the traction substation environment in the target three-dimensional image, and quantizing the target plane to obtain a plurality of image points;

the image processing subunit is further configured to determine a normal vector of the target plane based on the image points, determine a positional relationship between the plurality of image points in the target plane based on the normal vector, and obtain point cloud data of the environments of the traction substation equipment and the traction substation based on the positional relationship between the plurality of image points.

Preferably, a digital twin formula traction substation intelligence operation and maintenance system, scanning unit includes:

the image identification subunit is used for acquiring a target three-dimensional image obtained by scanning the environment of the traction substation equipment and the environment of the traction substation by the unmanned aerial vehicle and the laser scanner and extracting structural information of a target main body in the target three-dimensional image;

and the image marking subunit is used for determining the attribute information of the traction substation equipment and the target position of the traction substation equipment in the traction substation based on the structure information, and setting an iconic annotation on the target main body in the target three-dimensional image based on the attribute information and the target position.

Preferably, a digital twin formula traction substation intelligence operation and maintenance system, the model construction module includes:

the model acquisition unit is used for acquiring the constructed three-dimensional visual mapping model set by a user and extracting the functional characteristics of each three-dimensional visual mapping model in the three-dimensional visual mapping model set;

the model fusion unit is used for determining the incidence relation among the three-dimensional visual mapping models based on the functional characteristics of the three-dimensional visual mapping models;

and the model fusion unit is used for adapting the three-dimensional visual mapping models based on the incidence relation, reserving a data interface for each three-dimensional visual mapping model based on an adaptation result, and completing fusion adaptation of each three-dimensional visual mapping model.

Preferably, a digital twin traction substation intelligence operation and maintenance system, the fusion module includes:

the data transmission link construction unit is used for acquiring a communication address of a background management terminal and interface addresses of all preset data acquisition equipment, and constructing a network transmission link between the background management terminal and all the preset data acquisition equipment based on the Internet of things according to the communication address and the interface addresses;

the data acquisition unit is used for sending data acquisition rules to each preset data acquisition device by the background management terminal based on the network transmission link and receiving the operation data of the traction substation equipment acquired by each preset data acquisition device, wherein different preset data acquisition devices are used for acquiring the operation data of different service systems;

the format specification unit is used for decoding the received operation data to obtain the characteristic attribute of the operation data, determining a data conversion standard corresponding to the operation data from a preset data conversion rule base based on the characteristic attribute, and performing format conversion on the operation data based on the data conversion standard to obtain operation data to be imported;

the data processing unit is used for acquiring the service rule of each three-dimensional visual mapping model in the constructed three-dimensional visual mapping model set and filtering the to-be-imported operation data based on the service rule;

the data processing unit is further used for determining the adaptation degree of the to-be-imported operation data and each three-dimensional visual mapping model based on the filtering result, and determining the to-be-imported operation data to be classified and identified based on the adaptation degree;

the data importing unit is used for determining the mapping relation between the data to be imported and each configuration item in each three-dimensional visualization mapping model based on the classification identification, wherein each three-dimensional visualization mapping model comprises at least one configuration item;

the data import unit is used for adapting the operation data to be imported according to a preset adaptation protocol based on the mapping relation, caching the adapted operation data to be imported into a data import queue, and meanwhile acquiring data interfaces of the three-dimensional visual mapping models;

and the data import unit is used for docking the data import queue with each three-dimensional visual mapping model based on the data interface, importing the data to be imported into corresponding target configuration items in each three-dimensional visual mapping model based on the docking result, and completing the association mapping of the operating data in the three-dimensional visual mapping model set.

Preferably, a digital twin formula traction substation intelligence operation and maintenance system, data acquisition unit includes:

the attribute analysis subunit is used for acquiring the collected operation data of the traction substation equipment and acquiring attribute information of the traction substation equipment;

the attribute analysis subunit is configured to determine, based on the attribute information, a similarity of each traction substation device, and determine, based on the similarity, an acquisition mode and a data acquisition aperture for operation data of each traction substation device;

the data standardization subunit is used for determining a resource integration mechanism for the operation data of the traction substation equipment based on the acquisition mode and the data acquisition caliber, and carrying out standardization processing on the acquired operation data of each traction substation equipment based on the resource integration mechanism;

and the data sharing subunit is used for uploading the operation data after the standard processing to a preset block chain, and completing the sharing of the operation data of each traction substation device.

Preferably, the digital twin traction substation intelligent operation and maintenance system includes a data import unit, and includes:

the system comprises an environmental data acquisition subunit, a data processing subunit and a data processing subunit, wherein the environmental data acquisition subunit is used for acquiring environmental data and real-time online monitoring data of the traction substation and performing format conversion on the environmental data and the online monitoring data;

and the fusion subunit is used for importing the environment data and the online monitoring data into the three-dimensional visual mapping models based on a format conversion result, and synchronously updating the operation parameters of the three-dimensional visual mapping models corresponding to the traction substation equipment based on the environment data and the online monitoring data.

Preferably, a digital twin formula traction substation intelligence operation and maintenance system, operation and maintenance module includes:

the pre-simulation training unit is used for setting the load and the operating environment of the traction substation equipment according to the association mapping result and performing pre-simulation training on the traction substation equipment according to the three-dimensional visual mapping model based on the setting result;

the operation monitoring unit is used for acquiring the operation parameters of the traction substation equipment in real time based on pre-simulation training and determining interference factors influencing the operation state of the traction substation equipment;

the state evaluation unit is used for constructing an evaluation index system for stable operation of the traction substation equipment based on the interference factors and constructing a neural network model based on the evaluation index system;

the state evaluation unit is further used for inputting the operation parameters into the neural network model and extracting the data characteristics of the operation parameters based on the neural network model;

the state evaluation unit is further configured to classify the operation parameters based on the data characteristics to obtain a sub-operation parameter group, and meanwhile, retrieve historical operation data stored in a preset database when the equipment is abnormally operated, wherein the historical operation data is marked with a corresponding equipment operation risk level;

the state evaluation unit is further used for performing similarity matching on the sub-operation parameter group and the historical operation data, and determining a target risk level of the traction substation equipment under the current load and the operation environment based on a matching result;

the comparison unit is used for comparing the target risk level with a preset threshold value, and judging that operation and maintenance operation needs to be carried out on the traction substation equipment when the target risk level is greater than or equal to the preset threshold value;

the operation and maintenance unit is used for determining that operation and maintenance operation needs to be carried out on the traction substation equipment, determining a hidden danger fault point of the traction substation equipment based on the target risk level and the sub-operation parameter group, and extracting a functional attribute of the hidden danger fault point;

the operation and maintenance unit is used for determining an operation and maintenance strategy for the hidden danger fault point based on the functional attributes and carrying out simulation correction on the hidden danger fault point based on the operation and maintenance strategy;

and the verification unit is used for carrying out secondary pre-simulation training on the traction substation equipment based on a simulation correction result until the target risk level is smaller than the preset threshold value, and completing troubleshooting on the traction substation equipment.

Preferably, a digital twin formula traction substation intelligence operation and maintenance system, the operation and maintenance unit includes:

the operation and maintenance data acquisition subunit is used for acquiring the troubleshooting types of the hidden danger fault points of the equipment of the traction transformer and the corresponding operation and maintenance parameters, and screening the validity data of the operation and maintenance parameters based on preset keywords to obtain the operation and maintenance parameters to be recorded;

the report generation subunit is used for determining a project to be recorded based on the investigation type and the operation and maintenance parameters to be recorded and formulating a target recording template based on the project to be recorded;

and the report generation subunit is further configured to import the troubleshooting types and the operation and maintenance parameters to be recorded into a target recording area based on the target recording template, so as to obtain an operation and maintenance report for the traction substation equipment.

Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.

The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.

Drawings

The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:

fig. 1 is a structural diagram of an intelligent operation and maintenance system of a digital twin traction substation according to an embodiment of the present invention;

fig. 2 is a structural diagram of a three-dimensional visual mapping model constructed in an intelligent operation and maintenance system of a digital twin traction substation according to an embodiment of the present invention;

fig. 3 is a structural diagram of a model building module in an intelligent operation and maintenance system of a digital twin traction substation according to an embodiment of the present invention.

Detailed Description

The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it should be understood that they are presented herein only to illustrate and explain the present invention and not to limit the present invention.

Example 1:

the present embodiment provides an intelligent operation and maintenance system of a digital twin traction substation, as shown in fig. 1, including:

the model building module is used for scanning the traction substation equipment and the environment based on a preset device and building a three-dimensional visual mapping model set according to a target proportion based on a scanning result;

the fusion module is used for acquiring the operation data of the traction substation equipment and performing correlation mapping on the operation data in the three-dimensional visual mapping model set based on a digital twinning technology;

and the operation and maintenance module is used for evaluating the operation state of the traction substation equipment based on the correlation mapping result, operating and maintaining the traction substation equipment based on the evaluation result, and generating an equipment operation and maintenance report.

In this embodiment, the preset device may be an unmanned aerial vehicle or a laser scanner, etc.

In this embodiment, the traction substation equipment refers to a transformer or the like in the traction substation.

In this embodiment, the environment refers to the distribution of devices in the traction substation, the items included in the traction substation, and the like.

In this embodiment, the target ratio refers to 1:1.

in this embodiment, the three-dimensional visualization mapping model set refers to a set of building or equipment models which are constructed by 3dMAX according to the scanning result and are consistent with the traction substation.

In this embodiment, the operation data refers to current distribution data of the traction substation equipment, voltage boosting and voltage dropping data, and the like.

In this embodiment, the digital twin technology is to use data such as a physical model, sensor update, and operation history, to integrate a multidisciplinary, multi-physical-quantity, multi-scale, and multi-probability simulation process, and to complete simulation of the operation conditions of the traction substation equipment in a virtual space.

In this embodiment, the association mapping refers to that the operation data of the traction substation equipment is synchronously updated in the constructed three-dimensional visual mapping model, so that simulation drilling can be performed on the working condition or the operation condition of the traction substation according to the model.

In this embodiment, the operation and maintenance of the traction substation equipment based on the evaluation result refers to, when the evaluation result indicates that the running state of the traction substation equipment is abnormal, troubleshooting a fault point of the traction substation equipment, analyzing a cause of the fault, and solving the fault according to the cause, where the abnormal running state is specifically that the energy consumption of the traction substation equipment is too large, whether the traction substation equipment exits from system operation, or not.

The beneficial effects of the above technical scheme are: by carrying out model simulation on the traction substation, faults and leaks can be conveniently and timely found, the inspection maintenance quality of equipment of the traction substation is greatly improved, the labor intensity of personnel is reduced, and meanwhile the purposes of unattended operation and productivity liberation of the traction substation can be realized.

Example 2:

on the basis of the foregoing embodiment 1, this embodiment provides an intelligent operation and maintenance system of a digital twin traction substation, as shown in fig. 2, where the model building module includes:

the scanning unit is used for acquiring a scene map of a traction substation and determining the distribution condition of the traction substation equipment in the traction substation based on the scene map;

the scanning unit is used for controlling the unmanned aerial vehicle and the laser scanner to scan the environment of the traction substation equipment and the environment of the traction substation based on the distribution situation to obtain a target three-dimensional image and transmitting the target three-dimensional image to the management terminal;

and the model processing unit is used for processing the target three-dimensional image, determining point cloud data of the environments of the traction substation equipment and the traction substation, and constructing a three-dimensional visual mapping model set of the environments of the traction substation equipment and the traction substation according to a target proportion in a preset mode based on the point cloud data.

In this embodiment, the scene map refers to an area range of the traction substation, a corresponding shape, a position condition in the traction substation equipment, and the like.

In this embodiment, the distribution situation refers to the position situation of the traction substation equipment in the traction substation.

In this embodiment, the target three-dimensional image refers to a three-dimensional structure diagram of a traction substation and a device obtained by scanning the traction substation and the corresponding device by an unmanned aerial vehicle and a laser scanner.

In this embodiment, the processing on the target three-dimensional image may be image processing for determining point cloud data of a traction substation and equipment, such as denoising and resolution adjustment.

In this embodiment, the point cloud data refers to a three-dimensional structure represented by a plurality of points by the traction substation and the corresponding equipment.

In this embodiment, the preset manner refers to that a corresponding three-dimensional visualization mapping model is constructed by using 3dMAX software.

The beneficial effects of the above technical scheme are: the equipment of the traction substation and the corresponding environment are accurately modeled by continuously scanning the equipment of the traction substation and the environment of the traction substation, so that reliable guarantee is provided for accurately analyzing the running state of the equipment of the traction substation.

Example 3:

on the basis of the foregoing embodiment 2, this embodiment provides an intelligent operation and maintenance system for a digital twin traction substation, where the model processing unit includes:

the image acquisition subunit is used for acquiring a target three-dimensional image and determining the resolution of the target three-dimensional image, and when the resolution is smaller than a preset threshold value, the image acquisition subunit decodes the target three-dimensional image;

the resolution adjusting subunit is used for determining a difference value between the resolution and a preset threshold, adjusting image parameters of the target three-dimensional image according to the difference value based on a decoding result, and reconstructing the target three-dimensional image after parameter adjustment;

the image processing subunit is used for determining a target plane corresponding to the traction substation equipment and the traction substation environment in the target three-dimensional image, and quantizing the target plane to obtain a plurality of image points;

the image processing subunit is further configured to determine a normal vector of the target plane based on the image points, determine a positional relationship of the plurality of image points in the target plane based on the normal vector, and obtain point cloud data of the environments of the traction substation equipment and the traction substation based on the positional relationship of the plurality of image points.

In this embodiment, the preset threshold is set in advance, and is used to measure whether the sharpness of the target three-dimensional image meets the processing requirement.

In this embodiment, adjusting the image parameters of the target three-dimensional image according to the difference value based on the decoding result refers to converting the image into a corresponding binary code, and determining to adjust a numerical value affecting image resolution after decoding until the resolution is greater than or equal to a preset threshold.

In this embodiment, the target plane refers to a three-dimensional plane included in the target three-dimensional image by the traction substation equipment and the corresponding environment.

In this embodiment, quantizing the target plane refers to quantizing the plane into a plurality of points, where each plane is located is represented by a point.

In this embodiment, the normal vector is adapted to characterize the reference direction of the plane, and the normal vector is perpendicular to the target plane.

The beneficial effects of the above technical scheme are: the resolution ratio of the obtained target three-dimensional image is adjusted, and the target three-dimensional image is quantized after adjustment, so that the point cloud data of the traction substation equipment and the corresponding environment are effectively acquired according to the target three-dimensional image, a guarantee is provided for accurately constructing a corresponding three-dimensional visual mapping model, and meanwhile, a basis is provided for accurately evaluating the running state of the traction substation equipment.

Example 4:

on the basis of the foregoing embodiment 2, this embodiment provides an intelligent operation and maintenance system of a digital twin traction substation, where the scanning unit includes:

the image identification subunit is used for acquiring a target three-dimensional image obtained by scanning the environments of the traction substation equipment and the traction substation by the unmanned aerial vehicle and the laser scanner, and extracting structural information of a target main body in the target three-dimensional image;

and the image marking subunit is used for determining the attribute information of the traction substation equipment and the target position of the traction substation equipment in the traction substation based on the structure information, and setting a legend for a target main body in the target three-dimensional image based on the attribute information and the target position.

In this embodiment, the target subject refers to the traction substation equipment recorded in the target three-dimensional image.

In this embodiment, the structure information refers to a structure corresponding to the traction substation equipment, that is, a device structure, a composition, and the like included in the traction substation equipment.

In this embodiment, the attribute information refers to the type information of the traction substation.

In this embodiment, the target position refers to the distribution of the traction substation equipment in the traction substation.

In this embodiment, the illustration refers to explaining or labeling the type of the traction substation equipment and the specific position in the traction substation in the target three-dimensional image, so as to generate a corresponding three-dimensional visual mapping model.

The beneficial effects of the above technical scheme are: by analyzing the acquired target three-dimensional image, the type and the position of the traction substation equipment recorded in the image are accurately judged, so that convenience is provided for accurately generating a three-dimensional visual mapping model corresponding to the equipment, management of each equipment in the traction substation according to the model is guaranteed, and the operation and maintenance effects on the traction substation equipment are improved.

Example 5:

on the basis of the foregoing embodiment 1, the present embodiment provides an intelligent operation and maintenance system of a digital twin traction substation, as shown in fig. 3, the model building module includes:

the model acquisition unit is used for acquiring the constructed three-dimensional visual mapping model set by a user and extracting the functional characteristics of each three-dimensional visual mapping model in the three-dimensional visual mapping model set;

the model fusion unit is used for determining the incidence relation among the three-dimensional visual mapping models based on the functional characteristics of the three-dimensional visual mapping models;

and the model fusion unit is used for adapting the three-dimensional visual mapping models based on the incidence relation, reserving a data interface for each three-dimensional visual mapping model based on an adaptation result, and completing fusion adaptation of each three-dimensional visual mapping model.

In this embodiment, the functional characteristics of each three-dimensional visual mapping model refer to the working performance and the corresponding working category of the corresponding actual device of the three-dimensional visual mapping model.

In this embodiment, the association relationship refers to a cooperative relationship between the three-dimensional visualization mapping models.

In this embodiment, the adapting means that data interfaces and corresponding compatible modes between the constructed three-dimensional visual mapping models are set, so that unified management of the constructed three-dimensional visual mapping models can be realized, and a management problem caused by different models or different parameters or mismatching among devices is avoided.

In this embodiment, reserving a data interface refers to setting a data interface for each constructed three-dimensional visualization mapping model, so as to facilitate importing the acquired data into the corresponding three-dimensional visualization mapping model.

The beneficial effects of the above technical scheme are: by determining the working relation or incidence relation among the constructed three-dimensional visual mapping models, the different three-dimensional visual mapping models are effectively linked or fused, the mutual compatibility among the three-dimensional visual mapping models is achieved, and convenience and guarantee are provided for accurately carrying out intelligent operation and maintenance on the traction substation.

Example 6:

on the basis of the foregoing embodiment 1, this embodiment provides an intelligent operation and maintenance system for a digital twin traction substation, which includes:

the data transmission link construction unit is used for acquiring a communication address of a background management terminal and interface addresses of all preset data acquisition equipment, and constructing a network transmission link between the background management terminal and all the preset data acquisition equipment based on the Internet of things according to the communication address and the interface addresses;

the data acquisition unit is used for sending data acquisition rules to each preset data acquisition device by the background management terminal based on the network transmission link and receiving the operation data of the traction substation device acquired by each preset data acquisition device, wherein different preset data acquisition devices are used for acquiring the operation data of different service systems;

the format standardization unit is used for decoding the received operation data to obtain the characteristic attribute of the operation data, determining a data conversion standard corresponding to the operation data from a preset data conversion rule base based on the characteristic attribute, and performing format conversion on the operation data based on the data conversion standard to obtain operation data to be imported;

the data processing unit is used for acquiring the service rule of each three-dimensional visual mapping model in the constructed three-dimensional visual mapping model set and filtering the to-be-imported operation data based on the service rule;

the data processing unit is further used for determining the adaptation degree of the to-be-imported operation data and each three-dimensional visual mapping model based on the filtering result, and determining the to-be-imported operation data to be subjected to classification identification based on the adaptation degree;

the data importing unit is used for determining the mapping relation between the data to be imported and each configuration item in each three-dimensional visual mapping model based on the classification identifier, wherein each three-dimensional visual mapping model comprises at least one configuration item;

the data import unit is used for carrying out adaptation on the to-be-imported operation data based on the mapping relation according to a preset adaptation protocol, caching the adapted to-be-imported operation data to a data import queue, and meanwhile, acquiring a data interface of each three-dimensional visual mapping model;

and the data import unit is used for docking the data import queue with each three-dimensional visual mapping model based on the data interface, importing the data to be imported into corresponding target configuration items in each three-dimensional visual mapping model based on a docking result, and completing the association mapping of the operating data in the three-dimensional visual mapping model set.

In this embodiment, it is good to predetermine data acquisition equipment in advance, can be in advance at the inside camera, the sensor and the intelligent robot etc. that patrols and examines that sets up of traction substation.

In this embodiment, the network transmission link is used to transmit data acquired by each preset data acquisition device to the background management terminal.

In this embodiment, the data acquisition rule refers to a data acquisition mode, a data acquisition amount, a corresponding acquisition caliber and the like of each preset data acquisition device, and aims to uniformly import acquired data into a corresponding model, so as to uniformly manage each traction power transformer device.

In this embodiment, the characteristic attribute refers to a data value of the operation data, a data type of the operation data, and the like.

In this embodiment, the preset data conversion rule base is set in advance, and is used for storing a criterion or a conversion standard for converting the data format of the operating data.

In this embodiment, the operation data to be imported refers to the device operation data that is obtained by converting the format of the collected operation data and can be directly imported into the corresponding three-dimensional visual mapping model.

In this embodiment, the service rule refers to the service type executed in the traction substation by the traction substation equipment corresponding to each three-dimensional visual mapping model, the execution requirement when executing the service, and the like.

In this embodiment, the filtering of the operation data to be imported based on the business rules refers to removing data that is not related to the operation of the traction substation equipment.

In this embodiment, the fitness refers to a matching degree between the operation data to be imported and the three-dimensional visualization mapping model.

In this embodiment, the class identifier is a kind of tag label used to tag different data types of the operation data to be imported.

In this embodiment, the configuration item refers to configuration information of the three-dimensional visualization mapping model, including a function to be implemented by the model, a kind of an entity corresponding to the model, and the like.

In this embodiment, the preset adaptation protocol is set in advance, and is used to standardize the data to be imported, so as to effectively import the data to be imported into the corresponding three-dimensional visual mapping model.

In this embodiment, the data import queue is a carrier for importing data, and is used to temporarily store relevant data to be imported into the model.

In this embodiment, the target configuration item refers to a corresponding configuration item that needs to be imported to the to-be-imported running data.

In this embodiment, the operational data includes: collecting video monitoring data, collecting temperature data, collecting sensor data and collecting old instrument equipment;

wherein, (1) video monitoring data acquisition

The real-time shooting and monitoring of the equipment are realized by installing the monitoring camera, the shot video stream information is transmitted to the video server, and then the server transmits the information in an rtsp video stream mode, so that the images viewed by the monitoring camera can be observed on the digital twin platform in real time.

(2) Temperature data acquisition

Firstly, through infrared camera and the temperature sensor on the intelligent robot body, carry out analysis acquisition to appointed equipment data, or set up the predetermined circuit of patrolling and examining, the robot is automatic carries out temperature data acquisition to the equipment of setting for. And secondly, shooting is carried out through an infrared camera installed at a fixed point, and temperature data are analyzed and collected in real time. Both ways can implement threshold value warning.

(3) Sensor data acquisition

And a specific sensor is used for collecting data such as environment and the like, and the collected data is sent to a data server for storage.

(4) Old instrument collection

The camera is used for photographing, and an AI technology is used for analyzing instrument or lamp signals in the photograph, so that accurate instrument data or lamp signal data can be obtained.

The beneficial effects of the above technical scheme are: the communication link of the background terminal and the data acquisition equipment is established through the Internet of things, timely and effective acquisition of data acquired by the data acquisition equipment is achieved, secondly, the acquired data are classified and subjected to format conversion, the acquired data format is ensured to be continuously standardized, and therefore the acquired data are conveniently and accurately and effectively fused into corresponding three-dimensional visual mapping models, finally, the converted data are led into the corresponding three-dimensional visual mapping models, accurate and reliable combination of operation data and the models is achieved, and convenience and guarantee are provided for unified management of traction substation equipment.

Example 7:

on the basis of the foregoing embodiment 6, this embodiment provides an intelligent operation and maintenance system for a digital twin traction substation, where the data acquisition unit includes:

the attribute analysis subunit is used for acquiring the acquired running data of the traction substation equipment and acquiring attribute information of the traction substation equipment;

the attribute analysis subunit is configured to determine, based on the attribute information, a similarity of each traction substation device, and determine, based on the similarity, an acquisition mode and a data acquisition aperture for operation data of each traction substation device;

the data standardization subunit is used for determining a resource integration mechanism for the operation data of the traction substation equipment based on the acquisition mode and the data acquisition caliber and carrying out standardization processing on the acquired operation data of each traction substation equipment based on the resource integration mechanism;

and the data sharing subunit is used for uploading the operation data after the standard processing to a preset block chain to complete the sharing of the operation data of each traction substation device.

In this embodiment, the attribute information may be a device type of the traction substation device, a corresponding execution function, and the like.

In this embodiment, the similarity is used to measure whether there is a relationship between traction substation devices or whether the device types are consistent.

In this embodiment, the resource integration mechanism refers to unifying and standardizing the format of the acquired data, so as to achieve barrier-free docking or importing with the three-dimensional visualization mapping model.

In this embodiment, the specification processing refers to unifying the data formats.

In this embodiment, the preset block chain is set in advance and used for storing the collected operation data of the traction substation equipment, so that data can be reused on a system or a platform or a database can be optimized.

The beneficial effects of the above technical scheme are: through confirming the similarity between the equipment of the traction substation, the acquisition mode of the operation data is unified, and then the unified data is uploaded to the block chain, so that the operation data of the equipment of the traction substation is effectively utilized.

Example 8:

on the basis of the foregoing embodiment 6, this embodiment provides an intelligent operation and maintenance system for a digital twin traction substation, where the data importing unit includes:

the system comprises an environmental data acquisition subunit, a data processing subunit and a data processing subunit, wherein the environmental data acquisition subunit is used for acquiring environmental data and real-time online monitoring data of a traction substation and performing format conversion on the environmental data and the online monitoring data;

and the fusion subunit is used for importing the environment data and the online monitoring data into the three-dimensional visual mapping models based on a format conversion result, and synchronously updating the operation parameters of the three-dimensional visual mapping models corresponding to the traction substation equipment based on the environment data and the online monitoring data.

In this embodiment, the environmental data refers to environmental information where the traction power transformation equipment is located, specifically, an environmental temperature, a humidity, and the like.

In this embodiment, the real-time online monitoring data is specifically an independent monitoring system such as a color spectrum, a fire protection system, secondary lightning protection monitoring and other auxiliary services.

The beneficial effects of the above technical scheme are: the environment data and the real-time monitoring data of the traction substation equipment are synchronously updated in the three-dimensional visual mapping model, so that the model and the actual condition are synchronized, the running condition of the traction substation equipment is accurately and effectively managed and predicted, and faults and leaks are conveniently and timely searched.

Example 9:

on the basis of the foregoing embodiment 1, this embodiment provides an intelligent operation and maintenance system for a digital twin traction substation, and the operation and maintenance module includes:

the pre-simulation training unit is used for setting the load and the operating environment of the traction substation equipment according to the association mapping result and performing pre-simulation training on the traction substation equipment according to the three-dimensional visual mapping model based on the setting result;

the operation monitoring unit is used for acquiring the operation parameters of the traction substation equipment in real time based on pre-simulation training and determining interference factors influencing the operation state of the traction substation equipment;

the state evaluation unit is used for constructing an evaluation index system for stable operation of the traction substation equipment based on the interference factors and constructing a neural network model based on the evaluation index system;

the state evaluation unit is further used for inputting the operation parameters into the neural network model and extracting the data features of the operation parameters based on the neural network model;

the state evaluation unit is further configured to classify the operation parameters based on the data characteristics to obtain a sub-operation parameter group, and meanwhile, retrieve historical operation data stored in a preset database when the equipment is abnormally operated, wherein the historical operation data is marked with a corresponding equipment operation risk level;

the state evaluation unit is further used for performing similarity matching on the sub-operation parameter group and the historical operation data, and determining a target risk level of the traction substation equipment under the current load and the operation environment based on a matching result;

the comparison unit is used for comparing the target risk level with a preset threshold value, and when the target risk level is greater than or equal to the preset threshold value, judging that operation and maintenance operations need to be carried out on the traction substation equipment;

the operation and maintenance unit is used for determining hidden danger fault points of the traction substation equipment based on the target risk level and the sub-operation parameter group when the operation and maintenance operation of the traction substation equipment is required, and extracting functional attributes of the hidden danger fault points;

the operation and maintenance unit is used for determining an operation and maintenance strategy for the hidden danger fault point based on the functional attributes and carrying out simulation correction on the hidden danger fault point based on the operation and maintenance strategy;

and the verification unit is used for performing secondary pre-simulation training on the traction substation equipment based on the simulation correction result until the target risk level is smaller than the preset threshold value, and completing troubleshooting on the traction substation equipment.

In this embodiment, the pre-simulation training refers to performing a training on the operation state of the three-dimensional visualization mapping model after considering and setting the load and the operation environment of the traction substation equipment.

In this embodiment, the operation parameters refer to operation conditions of different three-dimensional visualization mapping models in the pre-simulation training process.

In this embodiment, the interference factor refers to an influence factor that may be influenced by the outside during the operation of the traction substation equipment, and specifically includes weather, humidity, temperature, and the like.

In this embodiment, the evaluation index system refers to an evaluation index set and an evaluation criterion for evaluating an operation state of a traction substation equipment.

In this embodiment, the data characteristics refer to the parameter types and corresponding value conditions of the operating parameters of the three-dimensional visualization mapping model.

In this embodiment, the sub-operation parameter group refers to each type of operation parameter obtained by classifying the operation parameters of the traction substation equipment.

In this embodiment, the preset database is set in advance and is used for storing the operation data of the device under the abnormal condition.

In this embodiment, the target risk level refers to a risk level of the traction substation equipment occurring under the load and the operating environment of the current model.

In this embodiment, the preset threshold is set in advance, and is used to measure whether the risk of the traction substation equipment exceeds the expected range.

In this embodiment, the hidden danger fault point refers to a point at which the traction substation equipment may fail under the load and the operating environment of the current model.

In this embodiment, the functional attribute refers to a final operation function to be implemented by the machine body corresponding to the hidden trouble point.

In this embodiment, when the target risk level is greater than or equal to the preset threshold, it is determined that the operation and maintenance operation on the traction substation equipment is required, that is, when the current risk value of the traction substation equipment exceeds the preset threshold, an abnormal operating device or an abnormal functional structure of the traction substation equipment needs to be checked, and the abnormal operating device or the abnormal functional structure needs to be maintained, so that the traction substation equipment can normally and stably operate.

In this embodiment, determining the target risk level of the traction substation equipment under the current load and the operating environment based on the matching result includes:

the method comprises the following steps of obtaining operation parameters of the traction substation equipment under the current load and the operation environment, determining a load loss index value of the traction substation equipment based on the operation parameters, and calculating a target risk level of the traction substation equipment based on the loss index value, wherein the specific steps comprise:

calculating the load loss index value of the traction substation equipment according to the following formula:

wherein M represents a load loss index value of the traction substation equipment; omega represents an error coefficient, and the value range is (0.02, 0.05); i represents the type of the current load loss of the traction substation equipment, and the value range is [1, n ]](ii) a n represents the total number of the load losses of the traction substation equipment, and the value is greater than or equal to 2; alpha represents a load importance correction factor of the traction substation equipment, and the value range is (0.8, 0.95); k is a radical of _i The loss amount of the i-th type load loss after the traction power transformation equipment exits operation due to faults is represented; s _i The loss amount of the i-th type load loss of the traction substation equipment meeting the safe operation price adjustment is represented;

a preset grading threshold range is called, the load loss index value is compared with the preset grading threshold range, and the consequence grade caused by the load loss index value of the traction substation equipment is determined;

calculating a target risk level for the traction substation equipment based on the outcome level and according to the following formula:

wherein Q represents a target risk level for the traction substation equipment; beta represents the probability level of the occurrence risk of the traction substation equipment under the current load and the operating environment; delta represents the consequence grade caused by the load loss index value of the traction substation equipment, wherein the lowest risk grade is grade 1, and the highest risk grade is grade 9;

a weight coefficient representing a probability level of occurrence of a risk; p represents a weight coefficient of the outcome level, and

round (·) represents a rounding function;

comparing the calculated target risk level with a preset risk level threshold;

if the target risk level is smaller than or equal to the preset risk level threshold value, judging that the fault of the traction substation equipment is a light fault, and performing first alarm reminding;

and otherwise, judging that the fault of the traction substation equipment is a serious fault, and carrying out second alarm reminding.

The loss amount of the load loss refers to energy loss caused by each traction substation device in the working process.

The preset risk level threshold is set in advance and used for judging whether the risk level of the traction substation equipment exceeds the expected condition or not.

The step of comparing the load loss index value with the preset grading threshold range to determine the consequence grade caused by the load loss index value of the traction substation equipment refers to that the loss amount is determined as one grade in [0, 100], and the loss amount is determined as two grades in [100, 200], and the like.

The beneficial effects of the above technical scheme are: the load and the operation environment of the traction substation equipment are simulated and set according to the correlation mapping result, so that the operation states of the traction substation under different operation environments are effectively monitored, the potential safety hazard of the traction substation equipment is conveniently searched in advance, the traction substation equipment is maintained in advance according to the potential safety hazard, the operation reliability of the traction substation equipment is improved, the inspection maintenance quality of the traction substation equipment is greatly improved, the labor intensity of personnel is reduced, and meanwhile the purposes of unattended operation and productivity liberation of the traction substation can be achieved.

Example 10:

on the basis of the foregoing embodiment 9, this embodiment provides an intelligent operation and maintenance system for a digital twin traction substation, where the operation and maintenance unit includes:

the operation and maintenance data acquisition subunit is used for acquiring the troubleshooting types of the hidden danger fault points of the equipment of the traction transformer and the corresponding operation and maintenance parameters, and screening the validity data of the operation and maintenance parameters based on preset keywords to obtain the operation and maintenance parameters to be recorded;

the report generating subunit is used for determining a project to be recorded based on the investigation type and the operation and maintenance parameter to be recorded, and formulating a target recording template based on the project to be recorded;

and the report generation subunit is further configured to import the troubleshooting types and the operation and maintenance parameters to be recorded into a target recording area based on the target recording template, so as to obtain an operation and maintenance report for the traction substation equipment.

In this embodiment, the operation and maintenance parameters refer to operation data during operation and maintenance of the traction substation equipment, and specifically include operation time, operation and maintenance steps, and the like.

In this embodiment, the preset keywords are set in advance, and are used for filtering the operation and maintenance parameters and eliminating data irrelevant to the operation and maintenance.

In this embodiment, the tape recording item refers to a data type that needs to be recorded in the template.

In this embodiment, the target record template refers to a report template suitable for recording the troubleshooting type and the corresponding operation and maintenance parameters.

In this embodiment, the target recording area refers to a blank area in the target recording template for recording corresponding data to be recorded.

The beneficial effects of the above technical scheme are: through determining the items to be recorded, the target recording template is accurately and effectively formulated, meanwhile, the obtained operation and maintenance parameters are effectively screened, the finally obtained operation and maintenance report is ensured to be accurate and reliable, and convenience is brought to unified management of the traction substation equipment.

It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (10)

1. A digital twin type traction substation intelligent operation and maintenance system is characterized by comprising:

the model construction module is used for scanning the traction substation equipment and the environment based on a preset device and constructing a three-dimensional visual mapping model set according to a target proportion based on a scanning result;

the fusion module is used for acquiring the operation data of the traction substation equipment and performing association mapping on the operation data in the three-dimensional visual mapping model set based on a digital twinning technology;

and the operation and maintenance module is used for evaluating the operation state of the traction substation equipment based on the correlation mapping result, operating and maintaining the traction substation equipment based on the evaluation result, and generating an equipment operation and maintenance report.

2. The intelligent operation and maintenance system of a digital twin traction substation according to claim 1, wherein the model building module comprises:

the scanning unit is used for acquiring a scene map of a traction substation and determining the distribution condition of the traction substation equipment in the traction substation based on the scene map;

the scanning unit is used for controlling the unmanned aerial vehicle and the laser scanner to scan the environment of the traction substation equipment and the environment of the traction substation based on the distribution situation to obtain a target three-dimensional image and transmitting the target three-dimensional image to the management terminal;

and the model processing unit is used for processing the target three-dimensional image, determining point cloud data of the environments of the traction substation equipment and the traction substation, and constructing a three-dimensional visual mapping model set of the environments of the traction substation equipment and the traction substation according to a target proportion in a preset mode based on the point cloud data.

3. The intelligent operation and maintenance system of digital twin traction substation as claimed in claim 2, wherein the model processing unit comprises:

the image acquisition subunit is used for acquiring a target three-dimensional image and determining the resolution of the target three-dimensional image, and when the resolution is smaller than a preset threshold value, the image acquisition subunit decodes the target three-dimensional image;

the resolution adjustment subunit is used for determining a difference value between the resolution and a preset threshold, adjusting image parameters of the target three-dimensional image according to the difference value based on a decoding result, and reconstructing the target three-dimensional image after parameter adjustment;

the image processing subunit is used for determining a target plane corresponding to the traction substation equipment and the traction substation environment in the target three-dimensional image, and quantizing the target plane to obtain a plurality of image points;

the image processing subunit is further configured to determine a normal vector of the target plane based on the image points, determine a positional relationship between the plurality of image points in the target plane based on the normal vector, and obtain point cloud data of the environments of the traction substation equipment and the traction substation based on the positional relationship between the plurality of image points.

4. The intelligent operation and maintenance system of a digital twin traction substation as claimed in claim 2, wherein the scanning unit comprises:

the image identification subunit is used for acquiring a target three-dimensional image obtained by scanning the environments of the traction substation equipment and the traction substation by the unmanned aerial vehicle and the laser scanner, and extracting structural information of a target main body in the target three-dimensional image;

and the image marking subunit is used for determining the attribute information of the traction substation equipment and the target position of the traction substation equipment in the traction substation based on the structure information, and setting an iconic annotation on the target main body in the target three-dimensional image based on the attribute information and the target position.

5. The intelligent operation and maintenance system of a digital twin traction substation according to claim 1, wherein the model building module comprises:

the model acquisition unit is used for acquiring the constructed three-dimensional visual mapping model set by a user and extracting the functional characteristics of each three-dimensional visual mapping model in the three-dimensional visual mapping model set;

the model fusion unit is used for determining the incidence relation among the three-dimensional visual mapping models based on the functional characteristics of the three-dimensional visual mapping models;

and the model fusion unit is used for adapting the three-dimensional visual mapping models based on the incidence relation, reserving data interfaces for the three-dimensional visual mapping models based on adaptation results, and completing fusion adaptation of the three-dimensional visual mapping models.

6. The intelligent operation and maintenance system of a digital twin traction substation of claim 1, wherein the fusion module comprises:

the data transmission link construction unit is used for acquiring a communication address of a background management terminal and interface addresses of all preset data acquisition equipment, and constructing a network transmission link between the background management terminal and all the preset data acquisition equipment based on the Internet of things according to the communication address and the interface addresses;

the data acquisition unit is used for sending data acquisition rules to each preset data acquisition device by the background management terminal based on the network transmission link and receiving the operation data of the traction substation equipment acquired by each preset data acquisition device, wherein different preset data acquisition devices are used for acquiring the operation data of different service systems;

the format specification unit is used for decoding the received operation data to obtain the characteristic attribute of the operation data, determining a data conversion standard corresponding to the operation data from a preset data conversion rule base based on the characteristic attribute, and performing format conversion on the operation data based on the data conversion standard to obtain operation data to be imported;

the data processing unit is used for acquiring the business rules of all three-dimensional visual mapping models in the constructed three-dimensional visual mapping model set and filtering the operation data to be imported based on the business rules;

the data processing unit is further used for determining the adaptation degree of the to-be-imported operation data and each three-dimensional visual mapping model based on the filtering result, and determining the to-be-imported operation data to be classified and identified based on the adaptation degree;

the data importing unit is used for determining the mapping relation between the data to be imported and each configuration item in each three-dimensional visualization mapping model based on the classification identification, wherein each three-dimensional visualization mapping model comprises at least one configuration item;

the data import unit is used for carrying out adaptation on the to-be-imported operation data based on the mapping relation according to a preset adaptation protocol, caching the adapted to-be-imported operation data to a data import queue, and meanwhile, acquiring a data interface of each three-dimensional visual mapping model;

and the data import unit is used for docking the data import queue with each three-dimensional visual mapping model based on the data interface, importing the data to be imported into corresponding target configuration items in each three-dimensional visual mapping model based on the docking result, and completing the association mapping of the operating data in the three-dimensional visual mapping model set.

7. The intelligent operation and maintenance system of a digital twin traction substation as claimed in claim 6, wherein the data acquisition unit comprises:

the attribute analysis subunit is used for acquiring the collected operation data of the traction substation equipment and acquiring attribute information of the traction substation equipment;

the attribute analysis subunit is configured to determine, based on the attribute information, similarity of each traction substation device, and determine, based on the similarity, an acquisition mode and a data acquisition aperture for operation data of each traction substation device;

the data standardization subunit is used for determining a resource integration mechanism for the operation data of the traction substation equipment based on the acquisition mode and the data acquisition caliber, and carrying out standardization processing on the acquired operation data of each traction substation equipment based on the resource integration mechanism;

and the data sharing subunit is used for uploading the operation data after the standard processing to a preset block chain to complete the sharing of the operation data of each traction substation device.

8. The intelligent operation and maintenance system of a digital twin traction substation according to claim 6, wherein the data import unit comprises:

the system comprises an environmental data acquisition subunit, a data processing subunit and a data processing subunit, wherein the environmental data acquisition subunit is used for acquiring environmental data and real-time online monitoring data of a traction substation and performing format conversion on the environmental data and the online monitoring data;

and the fusion subunit is used for importing the environmental data and the online monitoring data into the three-dimensional visual mapping models based on a format conversion result, and synchronously updating the operation parameters of the three-dimensional visual mapping models corresponding to the traction substation equipment based on the environmental data and the online monitoring data.

9. The intelligent operation and maintenance system of a digital twin traction substation of claim 1, wherein the operation and maintenance module comprises:

the pre-simulation training unit is used for setting the load and the operating environment of the traction substation equipment according to the association mapping result and performing pre-simulation training on the traction substation equipment according to the three-dimensional visual mapping model based on the setting result;

the operation monitoring unit is used for acquiring the operation parameters of the traction substation equipment in real time based on pre-simulation training and determining interference factors influencing the operation state of the traction substation equipment;

the state evaluation unit is used for constructing an evaluation index system for stable operation of the traction substation equipment based on the interference factors and constructing a neural network model based on the evaluation index system;

the state evaluation unit is further used for inputting the operation parameters into the neural network model and extracting the data characteristics of the operation parameters based on the neural network model;

the state evaluation unit is further configured to classify the operation parameters based on the data characteristics to obtain a sub-operation parameter group, and meanwhile, retrieve historical operation data stored in a preset database when the equipment is abnormally operated, wherein the historical operation data is marked with a corresponding equipment operation risk level;

the state evaluation unit is further used for performing similarity matching on the sub-operation parameter group and the historical operation data, and determining a target risk level of the traction substation equipment under the current load and the operation environment based on a matching result;

the comparison unit is used for comparing the target risk level with a preset threshold value, and when the target risk level is greater than or equal to the preset threshold value, judging that operation and maintenance operations need to be carried out on the traction substation equipment;

the operation and maintenance unit is used for determining that operation and maintenance operation needs to be carried out on the traction substation equipment, determining a hidden danger fault point of the traction substation equipment based on the target risk level and the sub-operation parameter group, and extracting a functional attribute of the hidden danger fault point;

the operation and maintenance unit is used for determining an operation and maintenance strategy for the hidden danger fault point based on the functional attributes and carrying out simulation correction on the hidden danger fault point based on the operation and maintenance strategy;

and the verification unit is used for carrying out secondary pre-simulation training on the traction substation equipment based on a simulation correction result until the target risk level is smaller than the preset threshold value, and completing troubleshooting on the traction substation equipment.

10. The intelligent operation and maintenance system of a digital twin traction substation of claim 9, wherein the operation and maintenance unit comprises:

the operation and maintenance data acquisition subunit is used for acquiring the troubleshooting types of the hidden danger fault points of the equipment of the traction transformer and the corresponding operation and maintenance parameters, and screening the validity data of the operation and maintenance parameters based on preset keywords to obtain the operation and maintenance parameters to be recorded;

the report generation subunit is used for determining a project to be recorded based on the investigation type and the operation and maintenance parameters to be recorded and formulating a target recording template based on the project to be recorded;

and the report generation subunit is further configured to import the troubleshooting types and the operation and maintenance parameters to be recorded into a target recording area based on the target recording template, so as to obtain an operation and maintenance report for the traction substation equipment.

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