CN114139745A

CN114139745A - Information processing and control method, device and terminal for rail transit power supply and distribution facility

Info

Publication number: CN114139745A
Application number: CN202111453651.2A
Authority: CN
Inventors: 袁志宏; 吴雷; 康俊利; 牛晓东
Original assignee: Beijing Maglev Co ltd
Current assignee: Beijing Maglev Co ltd
Priority date: 2021-12-01
Filing date: 2021-12-01
Publication date: 2022-03-04

Abstract

The application relates to the technical field of track management, in particular to an information processing and control method, device and terminal for a track traffic power supply and distribution facility, wherein the information processing and control method for the track traffic power supply and distribution facility comprises the following steps: responding to the starting instruction and outputting a remote inspection instruction; the monitoring device responds to the remote inspection instruction and performs material collection operation on the power supply and distribution facility site to obtain material information; respectively acquiring corresponding identification information from the material information according to a preset monitoring category and the monitoring category; acquiring fault characteristics from the identification information; obtaining the dangerous case grade result of the power supply and distribution facility site based on the corresponding relation between the fault characteristics and the dangerous case grade in the mapping table; and outputting a corresponding measure instruction based on the dangerous case grade result. The scheme is helpful for intelligent management of power supply and distribution facilities of rail transit, reduces the workload of managers and improves the efficiency.

Description

Information processing and control method, device and terminal for rail transit power supply and distribution facility

Technical Field

The present application relates to the field of track management technologies, and in particular, to a method, an apparatus, and a terminal for processing and controlling information of a track traffic power supply and distribution facility.

Background

Rail transit refers to a type of vehicle or transportation system in which operating vehicles need to travel on a particular rail. The rail transit mainly uses electric energy as energy for operation, wherein the mode of accessing the electric energy is that the urban power grid supplies power to the rail transit.

Accordingly, the rail transit distribution cover is connected with a power supply and distribution facility and a city power grid, so that the power supply and distribution facility plays an important role in rail transit operation, and the power supply and distribution facility comprises, but is not limited to, power distribution equipment, power transformation equipment and the like. Along with the gradual increase of the operation duration of the power supply and distribution facility, the fault conditions such as equipment short circuit can occur with high probability. For this reason, management personnel of rail transit need to complete management work by patrolling and overhauling power supply and distribution equipment.

The conventional mode is that a person arrives at the site of the power supply and distribution facility according to related working requirements to patrol the equipment contained in the power supply and distribution facility, and because the type and the quantity of the equipment are more, the mode of manually patrolling has the defects of large workload and low efficiency, and therefore, the mode also has room for improvement.

Disclosure of Invention

In order to overcome the defects of the prior art, the application provides the information processing and control method, the information processing and control device and the information processing and control terminal of the rail transit power supply and distribution facility, which are beneficial to implementing intelligent management on the rail transit power supply and distribution facility, reducing the workload of managers and improving the efficiency.

In a first aspect, the present application provides an information processing and control method for a rail transit power supply and distribution facility, including the following steps:

responding to the starting instruction and outputting a remote inspection instruction;

the monitoring device responds to the remote inspection instruction and performs material collection operation on the power supply and distribution facility site to obtain material information;

respectively acquiring corresponding identification information from the material information according to a preset monitoring category and the monitoring category;

acquiring fault characteristics from the identification information;

obtaining the dangerous case grade result of the power supply and distribution facility site based on the corresponding relation between the fault characteristics and the dangerous case grade in the mapping table;

and outputting a corresponding measure instruction based on the dangerous case grade result.

The starting instruction of the scheme is sent manually through equipment, or triggered after the preset time or condition is met. And after receiving the starting instruction, the controller outputs a remote inspection instruction to the monitoring device. And after receiving the remote inspection instruction, the monitoring device responds to the instruction, executes the operation of collecting the materials on the site of the power supply and distribution facility and sends the operation to the controller. The controller obtains material information. And the controller respectively acquires corresponding identification information from the material information according to a preset monitoring category. The controller then obtains the fault signature from the identification information. And then, the controller maps the corresponding dangerous case grade according to the acquired fault characteristics, so that the dangerous case grade result of the power supply and distribution facility field is obtained. And then, the controller outputs corresponding measure instructions according to the dangerous case grade result to remind a manager to execute corresponding measures for eliminating the dangerous case according to the measure instructions. In the management process, only the manager needs to execute corresponding measures according to the dangerous case caused by the current fault. The manager does not need to arrive at each power supply and distribution facility to patrol one by one, and the workload of the manager is reduced. In addition, management personnel are not needed to judge the fault condition of the power supply and distribution facilities, the automatic process of automatically collecting, obtaining the identification, obtaining the fault, judging the dangerous case and outputting the measure instruction can be realized, the intelligent management effect is achieved, and the management efficiency is greatly improved.

Optionally, the monitoring device includes an image collector, a sound collector and an air collector;

the material information comprises image material information, sound material information and air material information;

the specific steps of acquiring the material information based on the monitoring device response the remote inspection instruction and the material collection operation performed on the power supply and distribution facility site comprise:

acquiring the image material information based on the image sampling operation which is performed by the image collector on the site of the power supply and distribution facility in response to the remote inspection instruction;

acquiring the sound material information based on the sound sampling operation which is performed by the sound collector on the site of the power supply and distribution facility in response to the remote inspection instruction;

and acquiring the air material information based on the air sampling operation which is performed by the air collector in response to the remote inspection instruction and on the site of the power supply and distribution facility.

Through adopting above-mentioned technical scheme, monitoring devices adopts the collector of different grade type, carries out the material at power supply and distribution facility scene and collects. Specifically, the image collector collects image material information, the sound collector collects sound material information, and the air collector collects air material information. Then, the picture material information, the sound material information, and the air material information are transmitted to the controller. This scheme relates to the material collection of three dimension, compensates not enough of the dimension separately, and long-range official sense mode that also can tend to management personnel in reality to arrive the scene and patrol and examine has improved the effect that long-range patrolled and examined.

Optionally, the monitoring categories include a visual category, an auditory category, and a gas category;

the identification information comprises image identification information, sound identification information and gas identification information;

the specific steps of respectively acquiring corresponding identification information from the material information according to the monitoring categories according to the preset monitoring categories comprise:

according to the visual category, extracting an appearance identifier of a facility from the image material information according to the visual category to serve as the image identifier information;

according to the auditory category, executing the operation of extracting the sound identification sent by the facility from the sound material information according to the auditory category as the sound identification information;

and according to the gas type, performing operation of extracting a chloride ion identifier as the gas identifier information according to the gas type from the air material information.

By adopting the technical scheme, the controller divides information with facility appearance from the image material information as image identification information, intercepts the sound identification containing the facility from the sound material information as sound identification information, and acquires the gas identification information related to the chloride ion concentration from the air material information. The scheme can extract identification information related to facilities from materials according to three dimensions. Whether the power supply and distribution facilities have fault conditions or not is conveniently judged subsequently according to the identification information, and the function of automatic judgment is achieved.

Optionally, the fault characteristics include a discoloration characteristic, an abnormal sound characteristic, and a combustion characteristic

The specific step of acquiring the fault characteristics from the identification information comprises the following steps;

extracting facility colors from the acquired image identification information, performing color change evaluation based on the facility colors by using a preset color change model, and confirming to acquire color change characteristics when obtaining a color change result of the facility colors;

extracting facility operation sound from the obtained sound identification information, performing sound evaluation based on the facility operation sound by using a preset abnormal sound model, and confirming and obtaining abnormal sound characteristics when obtaining a result of abnormal sound emitted by the facility;

and acquiring chloride ion concentration information from the acquired gas identification information, and confirming to acquire the combustion characteristics when the acquired chloride ion concentration information reaches a preset concentration threshold value.

By adopting the technical scheme, the controller extracts the facility color from the image identification information, judges whether the facility color changes or not through the color change model, and if the facility color changes, the facility temperature rise risk is obtained. The controller extracts the facility operation sound from the sound identification information, judges whether the facility emits abnormal sound during operation through the abnormal sound model, and if the abnormal sound is judged, obtains the risk that the facility has abnormal operation. The controller acquires chloride ion concentration information from the gas identification information and compares the chloride ion concentration information with a preset concentration threshold value. And if the chloride ion concentration information is judged to reach the concentration threshold value, the facility combustion condition is obtained. Whether the current power supply and distribution facility has a fault or not can be judged from three dimensions of vision, hearing and smell, the accuracy of judgment is improved, and the effectiveness of remote inspection is improved.

Optionally, the dangerous case grade result includes a third dangerous case grade result, a second dangerous case grade result and a first dangerous case grade result;

the specific step of obtaining the dangerous case grade result of the power supply and distribution facility site based on the corresponding relation between the fault characteristics and the dangerous case grade in the mapping table comprises the following steps:

obtaining a third-level dangerous case grade result when the color change characteristic is confirmed to be obtained;

when the color change characteristic and the abnormal sound characteristic are confirmed to be obtained, a secondary dangerous case grade result is obtained;

and when the discoloration characteristic, the abnormal sound characteristic and the combustion characteristic are confirmed to be obtained, a first-level dangerous case grade result is obtained.

By adopting the technical scheme, the controller obtains the corresponding dangerous case grade result according to the type of the confirmed acquired fault characteristics and the corresponding relation between the fault characteristics and the dangerous case grade in the mapping table. And the controller can effectively send out corresponding measure instructions according to the dangerous case grade result obtained by judgment.

Optionally, the specific step of outputting the corresponding measure instruction based on the dangerous case level result includes:

outputting an early warning signal when the three-level dangerous case grade result is obtained;

when the secondary dangerous case grade result is obtained, sending a field maintenance request;

and when the first-level dangerous case grade result is obtained, sending a field maintenance request, and instructing field managers to select experts from a preset expert library for remote assistance guidance.

By adopting the technical scheme, the controller can output the early warning signal to the mobile communication equipment according to the current three-level dangerous case grade result to remind the manager that the current power supply and distribution facilities have the predicted risk. The controller can also send a field maintenance request to the mobile communication equipment according to the current secondary dangerous case grade result, and requires a manager to repair the corresponding facility. The controller can also send a field maintenance request to the mobile communication equipment according to the current first-level dangerous case grade result, requires a manager to arrive at the field to process and eliminate the fault to the corresponding fault facility, and instructs the manager to communicate with the experts in the expert library, so that the experts assist in guiding the manager to complete the task of eliminating the fault. According to the scheme, corresponding measures can be correspondingly matched for processing according to the current dangerous case grade. The management aspect achieves the effects of high efficiency, accuracy and guarantee.

Optionally, the specific step of instructing the on-site manager to select an expert from a preset expert database for remote assistance guidance includes:

sending a real-time communication connection request according to an expert selected from the preset expert database by a field manager;

after the expert end responds to the real-time communication connection request and is successfully in real-time communication connection with a field manager end, a three-dimensional scanning modeling device based on the manager performs facility information modeling operation on a power supply and distribution facility field to obtain three-dimensional model information;

sending out the three-dimensional model information;

responding the three-dimensional model information and inputting processing guidance by an expert-based augmented reality device to obtain processing guidance information;

and sending the processing guidance information to a field manager.

By adopting the technical scheme, the controller assists in realizing the communication between a remote expert and a field manager, the manager scans and models a fault point of a field power supply and distribution facility through the three-dimensional scanning and modeling device, three-dimensional model information is formed and then is sent to the expert, the expert receives the three-dimensional model information and can input processing guidance information aiming at the fault point, and the controller acquires the processing guidance information and sends the processing guidance information to the field manager.

In a second aspect, the present application provides an information processing and control apparatus for a rail transit power supply and distribution facility, comprising

The memory is used for storing material information, monitoring categories, identification information and fault characteristics corresponding to the monitoring categories, a color changing model, an abnormal sound model, a preset concentration threshold value, a mapping table containing the corresponding relation between the fault characteristics and the dangerous case levels, dangerous case level results, measure instructions, an expert database and accessory data;

and the controller executes the steps of the information processing and control method of any one of the rail transit power supply and distribution facilities when running the information processing and control program of the rail transit power supply and distribution facility.

In a third aspect, an information processing and control terminal for a rail transit power supply and distribution facility comprises

The monitoring device is used for acquiring material information;

the mobile communication device is used for receiving the early warning signal, receiving a field maintenance request and responding a real-time communication connection request by a manager to carry out communication interaction with an expert;

the three-dimensional scanning modeler is used for performing facility information modeling operation on a power supply and distribution facility site so as to obtain three-dimensional model information;

the augmented reality device is used for enabling the expert to respond the real-time communication connection request to perform communication interaction with the manager;

the monitoring device includes:

the image collector is used for carrying out image sampling operation on the site of the power supply and distribution facility;

the sound collector is used for carrying out sound sampling operation on the site of the power supply and distribution facility;

the air collector is used for carrying out air sampling operation on the site of the power supply and distribution facility;

the terminal further comprises an information processing and controlling device of the rail transit power supply and distribution facility, the information processing and controlling device of the rail transit power supply and distribution facility further comprises an input end and an interaction end, the input end is respectively connected with the image collector, the sound collector, the air collector and the three-dimensional scanning modeling device, and the interaction end is respectively connected with the mobile communication device and the augmented reality device.

By adopting the technical scheme, after the information processing and control device of the rail transit power supply and distribution facility receives the starting instruction, the remote inspection instruction is output to the monitoring device, the image collector included by the monitoring device carries out image sampling on the power supply and distribution facility site, the sound collector carries out sound sampling on the power supply and distribution facility site, and the air collector carries out air sampling on the power supply and distribution facility site. The information processing and control device of the rail transit power supply and distribution facility obtains image material information, sound material information and air material information based on the sampling correspondence, and obtains image identification information, sound identification information and air identification information from the material information through a related algorithm. And then extracting fault characteristics from the identification information by the information processing and control device of the rail transit power supply and distribution facility, and obtaining a corresponding dangerous case grade result according to the corresponding relation between the fault characteristics and the dangerous case grade in the mapping table. And corresponding measure instructions are sent out according to the dangerous case grade result. The management personnel receives an early warning signal output by the information processing and control device of the rail transit power supply and distribution facility according to the third-level dangerous case grade result, or receives a field maintenance request sent according to the second-level dangerous case grade result, or receives the field maintenance request sent according to the first-level dangerous case grade result and selects experts from a preset expert library with instructions to perform remote assistance guidance. After the on-site manager communicates with the remote expert, the manager shoots and scans the power supply and distribution facility on site through the three-dimensional scanning modeling device to establish three-dimensional model information and sends the three-dimensional model information to the augmented reality device, and the expert communicates and interacts with the manager through the three-dimensional model information responded by the augmented reality device to give processing guidance information.

In a fourth aspect, the present application provides a computer-readable storage medium storing a computer program that can be loaded by a controller and execute any one of the above-mentioned information processing and control methods for a rail transit power supply and distribution facility.

In summary, the present application includes at least one of the following beneficial technical effects:

1. after the controller of this application responds the start instruction, the long-range instruction of patrolling and examining of output is to monitoring devices. And after receiving the remote inspection instruction, the monitoring device responds to the instruction, executes the operation of collecting the materials on the site of the power supply and distribution facility and sends the operation to the controller. The controller obtains material information. And the controller respectively acquires corresponding identification information from the material information according to a preset monitoring category. The controller then obtains the fault signature from the identification information. And then, the controller maps the corresponding dangerous case grade according to the acquired fault characteristics, so that the dangerous case grade result of the power supply and distribution facility field is obtained. And then, the controller outputs corresponding measure instructions according to the dangerous case grade result to remind a manager to execute corresponding measures for eliminating the dangerous case according to the measure instructions. In the management process, only the manager needs to execute corresponding measures according to the dangerous case caused by the current fault. The manager does not need to arrive at each power supply and distribution facility to patrol one by one, and the workload of the manager is reduced. In addition, management personnel are not needed to judge the fault condition of the power supply and distribution facilities, the automatic process of automatically collecting, obtaining the identification, obtaining the fault, judging the dangerous case and outputting the measure instruction can be realized, the intelligent management effect is achieved, and the management efficiency is greatly improved.

2. The utility model relates to a material collection of three dimensions, the not enough of the respective dimension of compensation, long-range official sense mode that also can tend to the management personnel arrival scene of reality and patrol and examine has improved the effect that long-range patrolled and examined.

3. According to the method and the device, corresponding measures can be matched for processing according to the current dangerous case grade. The management aspect achieves the effects of high efficiency, accuracy and guarantee.

Drawings

Fig. 1 is a schematic flowchart of an information processing and control method of a rail transit power supply and distribution facility according to an embodiment of the present disclosure.

Fig. 2 is a block diagram of an information processing and control system of a rail transit power supply and distribution facility according to an embodiment of the present disclosure.

Fig. 3 is a block diagram of an information processing and controlling device of a rail transit power supply and distribution facility according to an embodiment of the present disclosure.

Fig. 4 is a block diagram of an information processing and control terminal of a rail transit power supply and distribution facility according to an embodiment of the present disclosure.

Reference numerals: 1. a response module; 2. a material collecting module; 3. an identification information acquisition module; 4. a fault characteristic acquisition module; 5. a dangerous case grade result obtaining module; 6. a measure instruction output module; 111. a memory; 112. a controller; 12. a monitoring device; 121. an image collector; 122. a sound collector; 123. an air collector; 13. a mobile communication device; 14. a three-dimensional scanning modeler; 15. an augmented reality device.

Detailed Description

The present application is described in further detail below with reference to figures 1-4.

Referring to fig. 1, the present application provides an information processing and control method for a rail transit power supply and distribution facility, including the following steps:

s10, the controller 112 outputs a remote inspection command to the monitoring device 12 in response to the start command. When the management of the power supply and distribution facilities of the rail transit is required, the manager executes the start request or the controller 112 executes the self-start, specifically, the start instruction includes but is not limited to the trigger from the manual operation through the PC device or the mobile communication device, the trigger from the set time such as daily, weekly, monthly, quarterly or yearly, the trigger from the limited condition such as the climate condition, the temperature and humidity condition, the night condition or the 12-hour trigger of the new device commissioning.

S20, the controller 112 obtains material information based on the material collection operation performed by the monitoring device 12 in response to the remote inspection command and at the site of the power supply and distribution facility.

The monitoring device 12 according to the present disclosure includes an image collector 121 such as a camera, an image sensor and/or a depth camera, wherein the depth camera may adopt a laser type 3D camera based on a DepthSense technology. A sound collector 122, such as an audio collector, and an air collector 123, such as an air collector. Correspondingly, the material information includes image material information, sound material information, and air material information.

In one embodiment of the present application, step S20 includes:

the controller 112 obtains image material information based on the image sampling operation performed by the image collector 121 in response to the remote inspection instruction and on the site of the power supply and distribution facility.

The controller 112 obtains the sound material information based on the sound sampling operation performed by the sound collector 122 in response to the remote inspection instruction and on the site of the power supply and distribution facility.

The controller 112 obtains air material information based on the air sampling operation performed by the air collector 123 in response to the remote inspection command and at the site of the power supply and distribution facility.

Taking the camera as an example, the camera responds to the remote inspection instruction, and after obtaining image material information through sampling steps such as shooting and quantification at the site of the power supply and distribution facility, the camera sends the image material information to the controller 112.

Taking the audio collector as an example, the audio collector responds to the remote inspection instruction, and after obtaining the sound material information through sampling steps such as sampling and quantization on the site of the power supply and distribution facility, the sound material information is sent to the controller 112.

Taking the air sampler as an example, the air sampler responds to the remote inspection instruction, and sends air material information to the controller 112 after obtaining the air material information through the steps of air suction, ion reaction, potential measurement and the like on the site of the power supply and distribution facility. This application plays and tends to the managers in the reality and reachs the effect that supplies power distribution facility scene to patrol and examine supply power distribution facility, corresponds the mode that many official senses were patrolled and examined in the reality, and the sensitivity of human smell of especially simulation helps promoting the quality of patrolling and examining, improves the effect of management.

After completion of step S20, the following steps are performed: s30, according to the preset monitoring categories, the controller 112 obtains the corresponding identification information from the material information according to the monitoring categories.

The monitoring categories to which the present application relates include a visual category, an auditory category, and a gas category. The visual type comprises appearance characteristics of preset equipment related to power supply and distribution facilities, the auditory type comprises sound characteristics of the preset equipment related to the power supply and distribution facilities during operation, and the gas type comprises chloride ion characteristics corresponding to hydrogen chloride gas contained in air when the preset power supply and distribution facilities are in combustion conditions.

In one embodiment of the present application, step S30 includes:

depending on the visual category, the controller 112 performs an operation of extracting the appearance identification of the facility by visual category from the image material information as image identification information. The controller 112 segments information including the appearance of the facility from the image material information as image identification information by using a Hog feature extraction algorithm.

Depending on the auditory sense category, the controller 112 performs an operation of extracting a sound identification emitted from the facility as sound identification information by the auditory sense category from the sound material information. The controller 112 intercepts the voice mark containing the facility emission from the sound material information as the voice mark information through the Mel cepstral coefficient algorithm.

Depending on the gas type, the controller 112 performs an operation of extracting a chloride ion identification as gas identification information by gas type from the air material information.

The air sampler samples chlorine in the air, converts the chlorine in the air into chloride ions in an ion chromatography mode, then expresses the concentration of the chloride ions in a potential mode in a potential measuring mode, and the controller 112 acquires potential information corresponding to the concentration of the chloride ions to serve as chloride ion identification, namely gas identification information.

The steps realize the augmented reality type official inspection of three dimensions of vision, hearing and smell, are helpful for knowing the field situation of power supply and distribution facilities in multiple dimensions, compensate and monitor dead angles existing in the vision dimension through the hearing dimension and the smell dimension, are helpful for monitoring the running state in equipment, and the smell dimension is used for timely capturing and responding to the combustion situation which possibly occurs in the field.

Further, the fault recognition is realized in three dimensions of vision, hearing and smell, and specifically, after the step S30 is completed, the following steps are carried out: s40, the controller 112 obtains the failure characteristics from the identification information. The fault signature includes a discoloration signature, an abnormal sound signature, and a combustion signature.

In one embodiment of the present application, step S40 includes:

s41, the controller 112 extracts the facility color from the acquired image identification information, and performs the discoloration evaluation based on the facility color using a preset discoloration model. And when the result that the color of the facility is changed is obtained, confirming that the color change characteristic is obtained. The power supply and distribution facility mainly comprises power transformation equipment and power distribution equipment, wherein the power transformation equipment such as a transformer, the power distribution equipment such as a distribution box and the like, and the transformer is taken as an example, when the condition that transformer oil permeates exists at the joint of the structure, the appearance of the corresponding position can have color change, such as light yellow. Taking the distribution box as an example, the appearance of the distribution box is provided with temperature-sensitive color-changing paint, and when the temperature of the distribution box is gradually increased from normal temperature, the temperature-sensitive color-changing paint is changed from basic color to white color. In addition, if the distribution box has a flame due to the burning of the parts, wherein the appearance of the distribution box forms white smoke or gray representing a smoldering state, when the temperature is further increased, the smoke turns into green representing the escape of toxic gases, even black representing the highest temperature.

Therefore, the controller 112 extracts the facility color from the image identification information using the SIFT feature extraction algorithm. Taking the power transformation equipment as an example, the appearance color of the transformer extracted from the image identification information is input into a preset color change model as a facility color, and then the color change evaluation is obtained through the solution of the color change model. Wherein the facility color may be the color of different location areas of the transformer in the image identification information, and the number of the facility colors may be plural.

Taking the power distribution equipment as an example, extracting relevant information of the appearance color of the power distribution box from the image identification information, inputting the appearance color into a preset color change model for color change evaluation, and if the appearance color is changed after evaluation, namely the appearance color of the power distribution box is changed, the fault risk of combustion exists.

The preset color-changing model is established in a mode of combining a neural network with deep learning, specifically, the preset color-changing model in the step S41 adopts a back propagation neural network model, and the establishing step includes:

s411, defining a facility appearance color set and establishing a corresponding color data set. Specifically, the facility appearance color set is P ═ P1, P2, P3, P4, P5, P6 ═ basic color, white, yellow, gray, green, and black, a corresponding color data set is established, normalization processing is performed, and the discoloration evaluation corresponding to the extracted color is output. The discoloration assessment may include: normal, temperature rising, flame, smoldering, burning, toxic gas release and deflagration. The basic color can be the original paint color belonging to the appearance of the facility, and the paint color can be red.

And S412, constructing a back propagation neural network for color classification. The back propagation neural network is composed of an input layer, a hidden layer and an output layer, wherein the input layer comprises a plurality of input layer neurons for corresponding to the colors of a plurality of areas of the facility in the image identification information, and the output layer is an output layer neuron, namely corresponding to the discoloration evaluation. The number of the hidden layers can be one or more, wherein the number of the hidden layers is enough, the more accurate approximation of a nonlinear function can be realized, but the excessive number of the hidden layers is considered to cause overfitting and increase the operation burden, so the number of the hidden layers l can be realized according to the following formula:

where n is the number of input layers and m is the number of output layers. a is a constant between 2, 8.

The back propagation neural network adopts an S-shaped transfer function:

and by passing back the error function:

constantly modulating back-propagating neural netsAnd (4) connecting the weight value and the threshold value to make the error E extremely small. Wherein, t_iTo desired output, O_iIs the computational output of the back propagation neural network.

The back propagation neural network adopts Sigmoid differentiable functions and linear functions as excitation functions, and adopts S-type tangent functions tansig as excitation functions of hidden layer neurons. And selecting an S-type logarithmic function tansig as a mechanism function of the neuron of the output layer.

And S413, performing data increasing processing on the training number set. Specifically, the data enhancement processing refers to processing such as inverting, rotating, increasing contrast, or cropping and enlarging the pictures in the training number set respectively, in such a way that the number of pictures in the training number set is increased by multiple, so as to ensure that there is enough data amount during training to help prevent negative effects caused by insufficient data or data imbalance. Negative effects include inability to converge during neural network training due to low data volume; or overfitting; or learn in irrelevant information; or the local optimal solution is trapped, so that the result is accurate during training but the error is large during actual prediction. As another embodiment, feature extraction may be performed on the training number set by using multiple feature extraction manners, for example, using dense201 and assumption 3 to extract picture features respectively, and performing feature fusion with some feature data, so as to input the feature data to the back propagation neural network for training subsequently. This helps to deal with unbalanced data or prevent overfitting.

And S414, training the constructed back propagation neural network. The training mode can adopt a neural network training tool in MATLAB.

And S415, finishing training to obtain a corresponding color change model. The training is completed according to the principle that after multiple times of deep learning, the training is completed until the output result reaches the expected error.

In parallel, step S40 further includes: s42, the controller 112 extracts the facility operation sound from the acquired sound identification information, and performs sound evaluation based on the facility operation sound using a preset abnormal sound model. And when the abnormal sound emitting result of the facility is obtained, the abnormal sound characteristic is confirmed to be obtained.

The controller 112 extracts the operating sound of the facility, such as the power transformation equipment or the power distribution equipment, from the sound identification information using a linear predictive cepstrum coefficient algorithm. As another embodiment, the extraction of the facility operation sound can also be realized by adopting a linear prediction coefficient algorithm, a line spectrum frequency algorithm, a discrete wavelet transform algorithm or a perceptual linear prediction algorithm.

And then, inputting the facility operation sound into a preset abnormal sound model for sound evaluation, and if the abnormal sound generated by the facility is obtained through evaluation, confirming to obtain abnormal sound characteristics, namely the current power supply and distribution facility such as transformer equipment or distribution equipment has abnormal operation risk.

Specifically, the establishment of the abnormal sound model preset in step S42 is similar to that in steps 411 to 415, and the difference is that an abnormal sound set needs to be defined, a corresponding audio data set needs to be established, the facility operation sound is converted into data, and then the input is used as input, and the sound evaluation is used as output. The detailed steps are not described herein.

In parallel, step S40 further includes: s43, the controller 112 obtains the chloride ion concentration information from the obtained gas identification information. And confirming to acquire the combustion characteristics when the acquired chloride ion concentration information reaches a preset concentration threshold value.

In a conventional power supply and distribution facility, such as a power transformation device or a power distribution device, a combustion condition triggered by a short circuit is often difficult to detect if the combustion condition is located in some visual dead angle positions.

The controller 112 compares the acquired chloride ion concentration information with a preset concentration threshold, and if the chloride ion concentration information is higher than or equal to the preset concentration threshold, it is proved that the fault risk of combustion of the power supply and distribution facility exists on the site. The working principle is as follows: even if the combustion event is in a visually blind spot position, the combustion involves igniting the insulated components of the device, such as the insulating outer layer of the wire, the insulating housing or the insulator, etc. The insulating part is mainly made of plastic materials, dioxin and hydrogen chloride gas can be generated after the insulating part is ignited, and the chlorine content in the dioxin and hydrogen chloride gas can be released into the air more quickly than the dioxin when the insulating part is burnt. Therefore, by sampling, extracting and converting to chloride ion concentration information on site, olfactory sensory dimensionality in reality is simulated, and whether the combustion condition occurs on site of the current power supply and distribution facility or not is accurately and remotely monitored. And the management effectiveness is improved.

The method and the device map out corresponding dangerous case grade results according to the obtained fault characteristic conditions based on the three-dimensional routing inspection.

After completion of step S40, the following steps are performed: and S50, based on the corresponding relation between the fault characteristics in the mapping table and the dangerous case level, the controller 112 obtains the dangerous case level result of the power supply and distribution facility site. Therefore, classification can be effectively carried out according to the dangerous case, corresponding measures can be conveniently and subsequently taken, the workload is reasonably distributed, the effectiveness of remote inspection is ensured, and the management efficiency is improved. The dangerous case grade results comprise third-level dangerous case grade results, second-level dangerous case grade results and first-level dangerous case grade results.

In one embodiment of the present application, the step S50 includes:

upon confirmation of the color change characteristic, the controller 112 derives a tertiary risk rating result.

Upon confirmation of the color change characteristic and the abnormal sound characteristic, the controller 112 derives a secondary risk level result.

Upon confirming that the discoloration, abnormal sound, and burn characteristics are obtained, the controller 112 derives a first-level hazard level result.

The method and the device adopt progressive dangerous case grading, and are beneficial to preventing the risk of mistakenly reporting high-grade dangerous cases due to triggering of a certain characteristic. And help the follow-up reasonable arrangement to eliminate the measures of dangerous case.

After completion of step S50, the following steps are performed: s60, based on the dangerous case grade result, the controller 112 outputs the corresponding measure instruction. According to the dangerous case grade obtained by remote inspection, reasonable and effective measures are taken to eliminate the dangerous case.

In one embodiment of the present application, step S60 includes:

when a three-level dangerous case grade result is obtained, outputting an early warning signal; namely, the manager is reminded in advance that the current power supply and distribution facilities have a pre-known risk and needs to be correspondingly processed and eliminated. The function of knowing faults in advance is achieved, and the occurrence of more serious dangerous situations is reduced.

When a secondary dangerous case grade result is obtained, sending a field maintenance request; the method is characterized in that a manager is reminded that tasks needing to be repaired exist in the current power supply and distribution facilities, and the manager is requested to arrive at the site for overhauling.

And when a first-level dangerous case grade result is obtained, sending a field maintenance request, and instructing field managers to select experts from a preset expert library for remote assistance guidance.

The management personnel is reminded that the current fault needs to arrive at the site for processing and eliminating, and the management personnel can remotely connect with the experts in the expert database so as to obtain the professional guidance of the experts and help to eliminate the fault as soon as possible. The preset expert database stores expert information of related power supply and distribution fields and corresponding communication link links. In addition, the training time before the post of the manager can be shortened, and the manager who needs to be trained for a period of time such as half a year can go to the site for overhauling is common. The application ensures that the manager cooperates with the expert to carry out remote connection processing, can shorten the training time of the manager, and simultaneously improves the level of processing dangerous cases so as to deal with higher-level dangerous cases.

The method and the device are beneficial to timely matching the corresponding means such as early warning, maintenance request, expert guidance and the like according to the dangerous case result obtained by automatic monitoring, so that the dangerous case can be effectively eliminated as soon as possible, the dangerous case is reasonably distributed, and the workload of managers is reduced.

In an embodiment of the present application, the above steps, the specific steps of the controller 112 instructing the on-site manager to select an expert from a preset expert database for remote assistance guidance include:

s631, the controller 112 sends a real-time communication connection request according to the expert selected from the preset expert database by the on-site manager. Therefore, the corresponding expert is requested to communicate with the on-site manager, and the real-time communication connection mode includes but is not limited to a 5G communication network, a 6G communication network, a quantum communication network, the Internet or a local area network and the like. The controller 112 may be a computer or other portable intelligent terminal.

S632, after the expert terminal responds to the real-time communication connection request and successfully performs real-time communication connection with the on-site manager terminal, the controller 112 obtains the three-dimensional model information based on the facility information modeling operation performed by the three-dimensional scanning modeling apparatus of the manager on the power supply and distribution facility site. And a field manager adopts a three-dimensional scanning modeling device to shoot and scan the fault point to form a digital three-dimensional model. After the three-dimensional model is scanned, the condition of the fault point can be checked in detail by adjusting the display angle of the three-dimensional model. As one implementation mode, the three-dimensional scanning modeling device can adopt a device based on a BIM model technology, a background device three-dimensional database is established in advance through recorded device information, actual shooting scanning is carried out on a fault point of a device on site by combining the three-dimensional scanning modeling device, and the device three-dimensional database and the fault point are analyzed and combined to complete three-dimensional model establishment.

S633, the controller 112 sends out three-dimensional model information. The controller 112 sends the three-dimensional model information to the expert. An expert at a remote place can know the dangerous situation of the current site and analyze the fault reason through the three-dimensional model. As one embodiment, the expert observes the three-dimensional model by using the display effect of the augmented reality device 15 such as AR glasses, and the display mode may be in-lens display or three-dimensional projection. The angle conversion of the three-dimensional model may be performed by an operation handle provided in the augmented reality device 15, or the gesture control of the angle conversion of the three-dimensional model may be performed by a motion capture camera.

S634, the expert-based augmented reality device 15 inputs a processing guidance in response to the three-dimensional model information, and the controller 112 acquires the processing guidance information.

The response of the three-dimensional model information is specifically displayed through an augmented reality device 15 with a communication function, a motion capture function and an AR screen projection function, so that an expert can conveniently check the response. Meanwhile, the expert communicates with the field management personnel in real time through a communication function, so that the expert can conveniently send processing guidance information to guide the management personnel to the current fault reason and provide a fault elimination suggestion. In addition, the motion capture function, such as a motion capture camera disposed in the augmented reality device 15, captures the gesture motion of the expert, such as the motion of a fault point, and then combines the circle formed by the motion capture into the projected screen of the three-dimensional model by the analysis and combination technology of the three-dimensional model and the real scene screen, and then the combined screen is acquired by the controller 112 and relayed.

After completion of step S634, the following steps are performed: and S635, combining the combined picture with real-time voice to serve as processing guidance information, and sending the processing guidance information to a field manager by the controller 112. The device carried by the on-site manager is displayed on a mobile terminal, so that the manager is guided to eliminate the dangerous case in real time.

In an embodiment of the present application, the step S63 of the controller 112 instructing the on-site manager to select an expert from a preset expert database for remote assistance guidance further includes:

and S636, packing and compressing the three-dimensional model information and the corresponding processing guide information into accessory data by the controller 112.

S637, for the accessory data, the controller 112 creates a data slice. In particular, the attachment data is broken up into manageable chunks, each chunk being distributed in segments across multiple nodes.

And S638, encrypting each data fragment. This helps to improve data security and prevent administrators and other experts from accessing or viewing the attachment data.

And S639, producing the hash value for each data fragment. This operation allows each data slice to correspond to a unique hash value, i.e., a fixed length encrypted output hash value. The hash value will be added to the blockchain ledger and shard metadata, thereby facilitating linking of corresponding attachment data to stored shards.

And S6310, copying each data fragment. This ensures that there are enough redundant copies, which helps prevent data loss and reading of corresponding accessory data, ensuring operational performance.

And S6311, distributing the copied data fragments based on a preset network. This may send the copy-to-shard to the remaining storage nodes in a decentralized state. The predetermined network includes, but is not limited to, a P2P network or an internet of things.

And S6312, synchronizing the record related to the data fragment to the block chain account book. Therefore, hash value information can be synchronized among all nodes, relevant accessory data can be obtained according to the hash value as guidance, and the accessory data is decompressed to obtain corresponding three-dimensional model information and processing guidance information.

Therefore, three-dimensional models and processing guidance information related to on-site overhaul and expert remote assistance guidance at each time can be stored and recorded in a distributed mode in a block chain mode, the whole life cycle of the power supply and distribution facility is facilitated to be formed, and the transparency, the traceability and the anti-counterfeiting performance are realized. The intelligent power supply and distribution system is beneficial to the reasonable, effective and intelligent management of power supply and distribution facilities by managers.

In a specific embodiment of the present application, the power supply and distribution facility involves the access of new equipment, the replacement of old equipment or the disposal of old equipment, and the conventional method requires that a manager additionally establishes one or more lists for the registration and management of the equipment. Such an approach is cumbersome, has a risk of not timely following the device status and is prone to information loss due to lost inventory.

Therefore, the following steps are included before S10:

and S01, responding to the recording request and outputting the two-dimensional code information.

And S02, scanning the two-dimensional code information based on managers on the power supply and distribution facility site, inputting the equipment information and the information of the monitoring device 12 of the corresponding equipment, and acquiring and storing initial information.

S03, extracting the remote network address from the information of the monitoring device 12, and issuing a connection request.

And S04, receiving the connection permission request responded by the monitoring device 12, and establishing remote connection.

The two-dimensional code is scanned to log in the memory 111, so that the information input mode is realized. Taking the example of accessing the new device and the corresponding monitoring device 12 on the site of the power supply and distribution facility, the administrator on the site sends an entry request to the controller 112 through the mobile terminal, the controller 112 responds to the entry request and sends two-dimensional code information to the mobile terminal of the administrator on the site, and the administrator on the site scans the two-dimensional code through the terminal and then accesses the two-dimensional code to the corresponding memory 111, such as a cloud terminal, so that the new device information and the corresponding monitoring device 12 information are conveniently registered, and the information is stored through the memory 111. The number of lists is reduced, and the reliability of information storage is improved.

Taking the case that the equipment in the power supply and distribution facility needs to be replaced or the equipment in the power supply and distribution facility needs to be scrapped, the manager sends an entry request to the controller 112 through the mobile terminal, the controller 112 responds to the entry request and sends two-dimensional code information to the mobile terminal of the manager, and the manager scans the two-dimensional code through the terminal and then accesses the memory 111 in the chess game, so that the information of the relevant equipment is modified or deleted. The device is beneficial to playing a role in following the state of the device in time.

In an embodiment of the present application, referring to fig. 2, an information processing and control system for a rail transit power supply and distribution facility is provided, including:

and the response module 1 is used for responding to the starting instruction and outputting a remote inspection instruction.

And the material acquisition module 2 is used for responding to the remote inspection instruction based on the monitoring device 12 and performing material collection operation on the power supply and distribution facility site to acquire material information.

And the identification information acquisition module 3 is used for respectively acquiring corresponding identification information from the material information according to the preset monitoring categories and the monitoring categories.

And the fault characteristic obtaining module 4 is used for obtaining the fault characteristics from the identification information.

And the dangerous case grade result obtaining module 5 is used for obtaining the dangerous case grade result of the power supply and distribution facility site based on the corresponding relation between the fault characteristics in the mapping table and the dangerous case grade.

And the measure instruction output module 6 is used for outputting a corresponding measure instruction based on the dangerous case grade result.

After receiving the start instruction, the response module 1 outputs a remote inspection instruction to the monitoring device 12. After receiving the remote inspection instruction, the monitoring device 12 responds to the instruction, executes the operation of collecting the material on the site of the power supply and distribution facility, and sends the operation to the material collection module 2. The material acquisition module 2 obtains material information. The identification information acquisition module 3 acquires corresponding identification information for the material information according to a preset monitoring category. Next, the failure feature acquisition module 4 acquires the failure feature from the identification information. And then, the dangerous case grade result obtaining module 5 maps the corresponding dangerous case grade according to the acquired fault characteristics, so as to obtain the dangerous case grade result of the power supply and distribution facility site. And then, the measure instruction output module 6 outputs corresponding measure instructions outwards according to the dangerous case grade result to remind a manager to execute corresponding measures for eliminating the dangerous case according to the measure instructions. In the management process, only the manager needs to execute corresponding measures according to the dangerous case caused by the current fault. The manager does not need to arrive at each power supply and distribution facility to patrol one by one, and the workload of the manager is reduced. In addition, management personnel are not needed to judge the fault condition of the power supply and distribution facilities, the automatic process of automatically collecting, obtaining the identification, obtaining the fault, judging the dangerous case and outputting the measure instruction can be realized, the intelligent management effect is achieved, and the management efficiency is greatly improved.

In an embodiment of the present application, referring to fig. 3, an information processing and controlling apparatus for a rail transit power supply and distribution facility is provided, which includes

The memory 111 is used for storing material information, monitoring categories, identification information and fault characteristics corresponding to the monitoring categories, color changing models, abnormal sound models, preset concentration threshold values, mapping tables containing corresponding relations between the fault characteristics and dangerous case levels, dangerous case level results, measure instructions, preset expert libraries and accessory data.

The controller 112 executes the steps of any one of the above-mentioned information processing and control methods of the rail transit power supply and distribution facility when running the information processing and control program of the rail transit power supply and distribution facility.

In an embodiment of the present application, referring to fig. 4, an information processing and control terminal for a rail transit power supply and distribution facility is provided, which includes

And the monitoring device 12 is used for acquiring material information.

And the mobile communication device 13 is used for receiving the early warning signal, receiving a field maintenance request and responding a real-time communication connection request by a manager to perform communication interaction with an expert.

And the three-dimensional scanning modeler 14 is used for performing facility information modeling operation on the power supply and distribution facility site so as to obtain three-dimensional model information.

And the augmented reality device 15 is used for enabling the expert to respond the real-time communication connection request to perform communication interaction with the manager.

The monitoring device 12 includes:

and the image collector 121 is used for carrying out image sampling operation on the site of the power supply and distribution facility.

And the sound collector 122 is used for carrying out sound sampling operation on the site of the power supply and distribution facility.

And the air collector 123 is used for carrying out air sampling operation on the site of the power supply and distribution facility.

The terminal further comprises an information processing and controlling device of the rail transit power supply and distribution facility, the information processing and controlling device of the rail transit power supply and distribution facility further comprises an input end and an interaction end, and the input end is respectively connected with the image collector 121, the sound collector 122, the air collector 123 and the three-dimensional scanning modeler 14; the interactive end is respectively connected with the mobile communication device 13 and the augmented reality device 15.

After receiving the start instruction, the information processing and control device of the rail transit power supply and distribution facility outputs a remote inspection instruction to the monitoring device 12, the image collector 121 included in the monitoring device 12 performs image sampling on the site of the power supply and distribution facility, the sound collector 122 performs sound sampling on the site of the power supply and distribution facility, and the air collector 123 performs air sampling on the site of the power supply and distribution facility. The information processing and control device of the rail transit power supply and distribution facility obtains image material information, sound material information and air material information based on the sampling correspondence, and obtains image identification information, sound identification information and air identification information from the material information through a related algorithm. And then extracting fault characteristics from the identification information by the information processing and control device of the rail transit power supply and distribution facility, and obtaining a corresponding dangerous case grade result according to the corresponding relation between the fault characteristics and the dangerous case grade in the mapping table. And corresponding measure instructions are sent out according to the dangerous case grade result. The manager receives the early warning signal output by the information processing and control device of the rail transit power supply and distribution facility according to the third-level dangerous case grade result through the mobile communication device 13, or receives the field maintenance request sent according to the second-level dangerous case grade result, or receives the field maintenance request sent according to the first-level dangerous case grade result and selects experts from a preset expert library with instructions to perform remote assistance guidance. After the on-site manager communicates with the remote expert, the manager shoots and scans the power supply and distribution facility on-site through the three-dimensional scanning modeler 14 to establish three-dimensional model information and sends the three-dimensional model information to the augmented reality device 15, and the expert communicates with the manager through the three-dimensional model information responded by the augmented reality device 15, so that processing guidance information is given.

In an embodiment of the present application, a computer-readable storage medium is provided, which stores a computer program that can be loaded by the controller 112 and execute the information processing and control method of the rail transit power supply and distribution facility:

and S10, responding to the starting instruction and outputting a remote inspection instruction to the monitoring device 12.

And S20, acquiring material information based on the material collection operation which is performed by the monitoring device 12 in response to the remote inspection instruction and on the power supply and distribution facility site.

And S30, respectively acquiring corresponding identification information from the material information according to the preset monitoring types and the monitoring types.

And S40, acquiring the fault characteristics from the identification information.

And S50, obtaining the dangerous case grade result of the power supply and distribution facility site based on the corresponding relation between the fault characteristics in the mapping table and the dangerous case grade.

And S60, outputting corresponding measure instructions based on the dangerous case grade result.

The method steps recited in the description may be performed in an order different than in the embodiments and still achieve desirable results, and the step numbers are merely for simplicity of distinguishing similar concepts. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. Multitasking and parallel processing are also possible or may be advantageous.

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 program, which can be stored in a non-volatile computer-readable storage medium, and when executed, the program 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 111 bus dynamic RAM (RDRAM).

It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions.

The above-mentioned embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.

Claims

1. An information processing and control method for a rail transit power supply and distribution facility is characterized by comprising the following steps:

based on the material collection operation which is performed by the monitoring device (12) in response to the remote inspection instruction and on the power supply and distribution facility site, material information is obtained;

acquiring fault characteristics from the identification information;

2. The information processing and control method of the rail transit power supply and distribution facility according to claim 1, wherein the monitoring device (12) comprises an image collector (121), a sound collector (122) and an air collector (123);

the specific steps of acquiring the material information based on the material collecting operation of the monitoring device (12) responding to the remote inspection instruction and performed on the site of the power supply and distribution facility include:

acquiring the image material information based on the image sampling operation which is performed by the image collector (121) in response to the remote inspection instruction and on the site of the power supply and distribution facility;

acquiring the sound material information based on the sound sampling operation which is performed by the sound collector (122) in response to the remote inspection instruction and on the site of the power supply and distribution facility;

and acquiring the air material information based on the air sampling operation which is performed by the air collector (123) in response to the remote inspection instruction and on the site of the power supply and distribution facility.

3. The information processing and control method of the rail transit power supply and distribution facility according to claim 2, wherein the monitoring categories comprise a visual category, an auditory category and a gas category;

4. The information processing and control method of the rail transit power supply and distribution facility according to claim 3, wherein the fault characteristics comprise a discoloration characteristic, an abnormal sound characteristic and a combustion characteristic,

the specific step of obtaining the fault characteristics from the identification information includes:

5. The information processing and control method of the rail transit power supply and distribution facility according to claim 4, wherein the dangerous case grade result comprises a third dangerous case grade result, a second dangerous case grade result and a first dangerous case grade result;

6. The information processing and control method of rail transit power supply and distribution facility according to claim 5,

the specific step of outputting the corresponding measure instruction based on the dangerous case grade result comprises the following steps:

7. The information processing and control method of the rail transit power supply and distribution facility according to claim 6, wherein the specific step of instructing a manager on site to select experts from a preset expert database for remote assistance guidance comprises:

sending out the three-dimensional model information;

an expert-based augmented reality device (15) responds to the three-dimensional model information and inputs processing guidance to acquire processing guidance information;

and sending the processing guidance information to a field manager.

8. An information processing and control device for rail transit power supply and distribution facilities is characterized by comprising

The memory (111) is used for storing material information, monitoring categories, identification information and fault characteristics corresponding to the monitoring categories, a color changing model, an abnormal sound model, a preset concentration threshold value, a mapping table containing the corresponding relation between the fault characteristics and the dangerous case levels, dangerous case level results, measure instructions, an expert database and accessory data;

the controller (112) executes the steps of the information processing and control method of the rail transit power supply and distribution facility according to any one of claims 1 to 7 when running the information processing and control program of the rail transit power supply and distribution facility.

9. An information processing and control terminal of a rail transit power supply and distribution facility is characterized by comprising

The monitoring device (12) is used for acquiring material information;

the mobile communication device (13) is used for receiving the early warning signal, receiving a field maintenance request and responding a real-time communication connection request by a manager to carry out communication interaction with an expert;

the three-dimensional scanning modeler (14) is used for carrying out facility information modeling operation on the power supply and distribution facility site so as to obtain three-dimensional model information;

the augmented reality device (15) is used for enabling the expert to respond the real-time communication connection request to perform communication interaction with the manager;

the monitoring device (12) comprises:

the image collector (121) is used for carrying out image sampling operation on the site of the power supply and distribution facility;

the sound collector (122) is used for carrying out sound sampling operation on the site of the power supply and distribution facility;

the air collector (123) is used for carrying out air sampling operation on the site of the power supply and distribution facility;

the terminal further comprises the information processing and controlling device of the rail transit power supply and distribution facility according to claim 8, the information processing and controlling device of the rail transit power supply and distribution facility further comprises an input end and an interaction end, the input end is respectively connected with the image collector (121), the sound collector (122), the air collector (123) and the three-dimensional scanning modeler (14), and the interaction end is respectively connected with the mobile communication device (13) and the augmented reality device (15).

10. A computer-readable storage medium, characterized in that a computer program is stored which can be loaded by a controller (112) and which executes the information processing and control method of a rail transit power supply and distribution facility according to any one of claims 1 to 7.