CN114554152A

CN114554152A - Intelligent monitoring method for transformer substation

Info

Publication number: CN114554152A
Application number: CN202210164982.2A
Authority: CN
Inventors: 高鹏; 裴军; 吴昊; 周泉; 蒋新波
Original assignee: Chint Electric Co Ltd
Current assignee: Chint Electric Co Ltd
Priority date: 2022-02-22
Filing date: 2022-02-22
Publication date: 2022-05-27

Abstract

The application provides an intelligent monitoring method of a transformer substation. The method comprises the following steps: the AR glasses determine preset information according to the image information of the target device, wherein the preset information comprises first device information of the target device, and the first device information is device information of the target device; the AR glasses send the image information and the preset information to the server; the AR glasses at least display part of feedback information under the condition that the feedback information sent by the server is received, wherein the feedback information comprises first equipment operation information, second equipment operation information and second equipment information, the first equipment operation information is the operation information of the target equipment determined by the server according to the preset information, the second equipment information is the equipment information of the target equipment determined by the server according to the image information, and the second equipment operation information is the operation information of the target equipment determined by the server according to the image information. The intelligent monitoring system and the intelligent monitoring method realize intelligent monitoring of the operation condition of the electrical equipment in the transformer substation.

Description

Intelligent monitoring method for transformer substation

Technical Field

The application relates to the field of intelligent equipment, in particular to an intelligent monitoring method of a transformer substation.

Background

The power system provides domestic electricity for people, economic development is guaranteed, and power transformation work is one of important contents of power system operation. The transformer equipment is relatively complicated, the problem is easy to occur, the difficulty of maintenance work is high, and the power supply quality can be seriously influenced once the fault occurs. Therefore, the power transformation operation and maintenance safety management and the equipment maintenance of the power system are very important, and the faults can be reduced and the power supply efficiency can be improved only by strengthening the operation and maintenance safety management and ensuring the orderly operation of the equipment maintenance work.

However, the conventional power operation and maintenance of the substation has the following problems: the power instrument is not installed in the substation, so that operation and maintenance personnel cannot know the information of the power parameters (voltage, current, power factor and the like) of each feeder circuit and cannot determine whether the power system normally operates. The existing on-duty personnel of the substation are manually read, and have the following disadvantages: 1. the manual meter reading workload is large, firstly manual paper recording is carried out, secondly telephone communication is carried out after potential safety hazards appear, and intelligent means is lacked; 2. the patrol frequency of personnel is low, the patrol task cannot be positioned, and the patrol process is not standard and standard; 3. personnel safety of workers cannot be guaranteed, and life can be directly threatened if the workers escape untimely or are not treated properly when problems such as electric leakage, water leakage and large sparks are found in the working process.

The potential safety hazard in the substation is high and the safe operation information in the substation is lacked, if the potential safety hazard is not discovered and processed in time, the fault range is expanded, and the power utilization condition of the whole government office is influenced. Such as: the system comprises cable temperature detection, smoke detection, breaker closing and opening state detection, temperature and humidity detection, water immersion detection, door state detection, video monitoring and the like.

The equipment aging causes abnormal power supply, and the work of maintenance personnel is seriously influenced. For example: the cable is ageing, and the switch auxiliary contact can not pinpoint, binding post contact failure etc.. Some of the problems are caused by the quality and the process of the equipment, some of the problems are caused by the fact that the construction and maintenance of the substation equipment are not in place, and particularly under the condition that many pieces of equipment cannot obtain operation data through an online monitoring device, power supply faults are easily caused.

Therefore, a method for intelligently monitoring the power supply condition and the power safety of the substation in real time is needed.

The above information disclosed in this background section is only for enhancement of understanding of the background of the technology described herein and, therefore, certain information may be included in the background that does not form the prior art that is already known in this country to a person of ordinary skill in the art.

Disclosure of Invention

The main purpose of the present application is to provide an intelligent monitoring method for a substation, so as to solve the problem that in the prior art, the intelligent real-time monitoring of the power supply situation and the power utilization safety and other operation situations of the substation is lacked.

According to an aspect of an embodiment of the present invention, there is provided an intelligent monitoring method of a substation, the substation including a plurality of electrical devices, the method including: determining preset information by AR (Augmented Reality) glasses according to image information of target equipment, wherein the preset information comprises first equipment information of the target equipment, the target equipment is one of the plurality of electrical equipment, and the first equipment information is equipment information of the target equipment; the AR glasses send the image information and the preset information to a server; the AR glasses display at least part of feedback information under the condition that the feedback information sent by the server is received, wherein the feedback information comprises first equipment operation information, second equipment operation information and second equipment information, the first equipment operation information is the operation information of the target equipment determined by the server according to the preset information, the second equipment information is the equipment information of the target equipment determined by the server according to the image information, and the second equipment operation information is the operation information of the target equipment determined by the server according to the image information.

Optionally, the displaying, by the AR glasses, at least part of the feedback information when receiving the feedback information sent by the server includes: the AR glasses determine whether the first device information and the second device information are the same when receiving the feedback information; the AR glasses display the first device running information or the second device running information under the condition that the first device information and the second device information are the same; and under the condition that the first device information and the second device information are different, the AR glasses display the first device information, the information source of the first device information, the first device operation information, the second device information, the information source of the second device information and the second device operation information.

Optionally, in a case that the first device information and the second device information are not the same, the method further includes: the AR glasses display a first option identification and a second option identification, wherein the first option identification is arranged corresponding to the first equipment information, and the second option identification is arranged corresponding to the second equipment information; under the condition that a first preset operation acted on the first option identifier is received, the AR glasses display the first equipment information and the first equipment running information, generate a selection result and send the selection result to the server; and in the case of receiving a second predetermined operation acting on the second option identifier, the AR glasses delete the first device information and save the second device information.

Optionally, the predetermined information further includes a first location representing location information of the target device, and after the AR glasses determine the predetermined information according to the image information of the target device, the method further includes: the AR glasses acquire the real-time position of the AR glasses; the AR glasses determine whether the range of the self real-time position and the first position is smaller than a preset range; under the condition that the real-time position of the AR glasses and the range of the first position are determined to be larger than or equal to the preset range, the AR glasses generate verification failure information; and the AR glasses display the verification failure information, the first position and the real-time position of the AR glasses.

Optionally, the determining, by the AR glasses, predetermined information according to the image information of the target device includes: the AR glasses acquire initial image information of the target device; the AR glasses perform preset processing on the initial image information to obtain the image information, wherein the preset processing comprises at least one of region-of-interest extraction, geometric transformation, threshold processing and image filtering; the AR glasses analyze the image information by adopting a first preset model to obtain the first equipment information, wherein the first preset model is trained by using multiple groups of first data through machine learning, and each group of the multiple groups of first data comprises first historical image information and equipment information corresponding to the first historical image information.

Optionally, the method further comprises: under the condition that alarm information sent by the server is received, the AR glasses determine whether a processing scheme corresponding to abnormal operation information exists or not, wherein the alarm information comprises the abnormal operation information, and the abnormal operation information is abnormal information of the electrical equipment in the operation process; under the condition that the processing scheme does not exist, the AR glasses send request information corresponding to the abnormal operation information, wherein the request information is used for requesting the server to send the processing scheme corresponding to the abnormal operation information; in a case where it is determined that the processing scheme exists or the processing scheme fed back by the server is received, the AR glasses display the processing scheme.

Optionally, the alarm information further includes a second location, where the second location is a location of the electrical device that operates abnormally, and in a case that the alarm information sent by the server is received, the AR glasses determine whether a processing scheme corresponding to the abnormal operation information exists, including: in the case of receiving the alarm information sent by the server, the AR glasses determine whether the AR glasses are located at the second location; under the condition that the AR glasses determine that the AR glasses are not located at the second position, the AR glasses generate path information from the real-time position of the AR glasses to the second position; the AR glasses display the path information; and the AR glasses determine whether a processing scheme corresponding to the abnormal operation information exists.

According to another aspect of the embodiments of the present invention, there is also provided an intelligent monitoring method for a substation, the substation including a plurality of electrical devices, the method including: the method comprises the steps that a server receives image information and preset information of target equipment sent by AR glasses, the target equipment is one of a plurality of electrical equipment, the preset information comprises first equipment information, and the first equipment information is equipment information of the target equipment determined by the AR glasses according to the image information; the server determining whether the predetermined information exists in a database; under the condition that the preset information exists in the database, the server acquires first equipment operation information from the database, wherein the first equipment operation information is operation information of equipment corresponding to the first equipment information; the server determines second equipment information and second equipment operation information according to the image information, wherein the second equipment information is the equipment information of the target equipment, and the second equipment operation information is the operation information of the target equipment; the server sends feedback information to the AR glasses so that the AR glasses display at least part of the feedback information, wherein the feedback information comprises the first device operation information, the second device operation information and the second device information.

Optionally, according to the image information, the determining, by the server, second device information and second device operation information includes: the server analyzes the image information by using a second predetermined model to determine a characteristic value corresponding to the image information, wherein the second predetermined model is trained by using multiple groups of second data through machine learning, and each group of the multiple groups of second data comprises second historical image information and equipment information corresponding to the second historical image information; the server determines corresponding second equipment information according to the characteristic value; and the server acquires the second equipment operation information corresponding to the second equipment information from the database.

Optionally, the method further comprises: the server generates alarm information under the condition that at least one piece of electrical equipment is detected to be abnormal in operation, wherein the alarm information comprises abnormal operation information and a second position, the abnormal operation information is abnormal information of the electrical equipment in the operation process, and the second position is the position of the electrical equipment which is abnormally operated; the server sends the alarm information to the AR glasses under the condition that the communication connection with the AR glasses is determined; and the server sends the alarm information to a terminal under the condition that the server is determined not to be in communication connection with the AR glasses.

Optionally, the method further comprises: the server determines a processing scheme under the condition that request information is received, wherein the request information is used for requesting the processing scheme corresponding to the abnormal operation information sent by the AR glasses; and the server sends the processing scheme to the AR glasses.

According to the technical scheme, in the intelligent monitoring method of the transformer substation, firstly, AR glasses determine preset information comprising first equipment information of target equipment according to image information of the target equipment, wherein the target equipment is one of a plurality of electrical equipment, and the first equipment information is the equipment information of the target equipment; then, the AR glasses send the image information and the preset information to a server; and finally, under the condition that feedback information sent by the server is received, displaying at least part of the feedback information by the AR glasses, wherein the feedback information comprises first equipment operation information, second equipment operation information and second equipment information, the first equipment operation information is the operation information of the target equipment determined by the server according to the preset information, and the second equipment information and the second equipment operation information are the equipment information of the target equipment and the operation information of the equipment determined by the server according to the image information. Compared with the problem that intelligent real-time monitoring on the power supply condition, the power utilization safety and other running conditions of the transformer substation is lacked in the prior art, in the intelligent monitoring method of the transformer substation, AR glasses firstly determine the preset information comprising the first equipment information of the target equipment through the image information of the target equipment, then send the image information and the preset information to a server, so that the server determines the first equipment running information of the target equipment according to the preset information, determines the second equipment information and the second equipment running information of the target equipment according to the image information, and finally receives the feedback information comprising the information sent by the server and displays at least part of the feedback information so as to facilitate a wearer of the AR glasses to determine the running information of the target equipment, the intelligent monitoring of the operation condition of the electrical equipment in the transformer substation is realized. In the method, the AR glasses determine corresponding equipment information according to the image information of the target equipment and then send the image information to the server, so that the server confirms the equipment information again according to the image information and obtains the running information of the equipment according to the two times of equipment information through the server, the obtained running information is ensured to correspond to the target equipment, and the running information of the target equipment is ensured to be obtained more accurately.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the application and, together with the description, serve to explain the application and are not intended to limit the application. In the drawings:

fig. 1 shows a schematic flow diagram of an intelligent monitoring method of a substation according to an embodiment of the application;

fig. 2 shows a schematic flow diagram of an intelligent monitoring method of a substation according to another embodiment of the present application;

fig. 3 shows a schematic diagram of an intelligent monitoring device of a substation according to an embodiment of the application;

fig. 4 shows a schematic diagram of an intelligent monitoring device of a substation according to another embodiment of the present application;

fig. 5 shows a flow diagram of AR glasses and a server according to an embodiment of the application.

Detailed Description

It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.

In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

It will be understood that when an element such as a layer, film, region, or substrate is referred to as being "on" another element, it can be directly on the other element or intervening elements may also be present. Also, in the specification and claims, when an element is described as being "connected" to another element, the element may be "directly connected" to the other element or "connected" to the other element through a third element.

As mentioned in the background art, there is a problem in the prior art that there is no intelligent real-time monitoring method for power supply conditions and power utilization safety of a substation, and in order to solve the above problem, in a typical embodiment of the present application, an intelligent monitoring method for a substation is provided.

According to an embodiment of the application, an intelligent monitoring method of a transformer substation is provided, the transformer substation comprises a plurality of electrical devices, and the method is applied to AR glasses.

Fig. 1 is a flowchart of an intelligent monitoring method of a substation according to an embodiment of the present application. As shown in fig. 1, the method comprises the steps of:

step S101, the AR glasses determine predetermined information according to image information of a target device, the predetermined information including first device information of the target device, the target device being one of the plurality of electrical devices, the first device information being device information of the target device;

step S102, the AR glasses send the image information and the preset information to a server;

step S103, when receiving feedback information sent by the server, the AR glasses display at least a part of the feedback information, where the feedback information includes first device operation information, second device operation information, and second device information, the first device operation information is operation information of the target device determined by the server according to the predetermined information, the second device information is device information of the target device determined by the server according to the image information, and the second device operation information is operation information of the target device determined by the server according to the image information.

In the intelligent monitoring method for the substation, first, the AR glasses determine predetermined information including first device information of a target device according to image information of the target device, where the target device is one of the plurality of electrical devices, and the first device information is device information of the target device; then, the AR glasses send the image information and the preset information to a server; and finally, when receiving feedback information sent by the server, the AR glasses display at least part of the feedback information, where the feedback information includes first device operation information, second device operation information, and second device information, the first device operation information is operation information of the target device determined by the server according to the predetermined information, and the second device information and the second device operation information are device information of the target device and operation information of the device determined by the server according to the image information. Compared with the problem of lack of intelligent real-time monitoring on the power supply condition, the electricity safety and other operation conditions of the transformer substation in the prior art, in the intelligent monitoring method of the transformer substation, the AR glasses firstly determine the preset information comprising the first equipment information of the target equipment through the image information of the target equipment, then send the image information and the preset information to the server, so that the server determines the first equipment operation information of the target equipment according to the preset information, determines the second equipment information and the second equipment operation information of the target equipment according to the image information, finally receives the feedback information comprising the information sent by the server and at least displays part of the feedback information, so as to facilitate the wearer of the AR glasses to determine the operation information of the target equipment, the intelligent monitoring of the operation condition of the electrical equipment in the transformer substation is realized. In the method, the AR glasses determine corresponding device information according to the image information of the target device, and then send the image information to the server, so that the server confirms the device information again according to the image information, and the server acquires the operation information of the device according to the device information twice, thereby ensuring that the acquired operation information corresponds to the target device and ensuring that the operation information of the target device is acquired more accurately.

According to a specific embodiment of the present application, in a case where the AR glasses receive the feedback information sent by the server, the displaying at least part of the feedback information includes: the AR glasses determine whether the first device information and the second device information are the same, when receiving the feedback information; the AR glasses display the first device operation information or the second device operation information when the first device information and the second device information are the same; when the first device information and the second device information are not the same, the AR glasses display the first device information, the information source of the first device information, the first device operation information, the second device information, the information source of the second device information, and the second device operation information. The AR glasses display the first device information, an information source of the first device information, the first device operation information, the second device information, an information source of the second device information, and the second device operation information when the first device information and the second device information are not identical, thereby ensuring that a person wearing the AR glasses can select correct information from the feedback information according to display contents and actual conditions of the AR glasses, and further ensuring that finally obtained device information and operation information correspond to a target device.

In a specific embodiment, the information source of the first device information is the AR glasses, and the information source of the second device information is the server.

In order to further ensure that the accuracy of the obtained device information and the operation information of the electrical device is high, according to another specific embodiment of the present application, in a case that the first device information and the second device information are different, the method further includes: the AR glasses display a first option identifier and a second option identifier, wherein the first option identifier is set corresponding to the first equipment information, and the second option identifier corresponds to the second equipment information; under the condition that a first preset operation acted on the first option identifier is received, the AR glasses display the first equipment information and the first equipment running information, generate a selection result and send the selection result to the server; and in the case of receiving a second predetermined operation acting on the second option identifier, the AR glasses delete the first device information and save the second device information. Under the condition of receiving the first preset operation, the AR glasses display the first equipment information and the first equipment running information, generate results and send the results to the server, so that server operation and maintenance personnel can change relevant verification programs in the server according to the generated results, the follow-up server can be ensured to accurately determine the equipment information of the electrical equipment according to the image information, under the condition of receiving the second preset operation, the AR glasses delete the first equipment information and store the second equipment information, and the follow-up equipment information determined by the AR glasses according to the image information of the electrical equipment is ensured to be accurate.

Specifically, in the case where the second predetermined operation is received, the AR glasses acquire the latest judgment criterion for the image information from the server.

In an actual application process, there may be a problem that actual position information of the electrical device may not be consistent with position information recorded in the server or the AR glasses, and there may also be a problem that the positioning of the AR glasses is inaccurate, and in this case, in order to ensure that the above problem is found more timely, according to another specific embodiment of the present application, the predetermined information further includes a first position representing position information of the target device, and after the AR glasses determine the predetermined information according to image information of the target device, the method further includes: the AR glasses acquire the real-time position of the AR glasses; the AR glasses determine whether the range of the real-time position and the first position is smaller than a preset range; under the condition that the real-time position of the AR glasses and the range of the first position are determined to be larger than or equal to the preset range, the AR glasses generate verification failure information; the AR glasses display the verification failure information, the first position and the real-time position of the AR glasses. According to the AR glasses, the verification failure information is generated and displayed under the condition that the range of the real-time position of the AR glasses and the range of the real-time position of the AR glasses are larger than or equal to the preset range through comparison of the first position and the real-time position of the AR glasses, the condition that an AR wearer finds out the information of the electrical equipment with the first position not matched with the actual position in time or finds out the problem that the positioning function of the AR glasses is inaccurate in time is guaranteed, and therefore subsequent related personnel can conveniently adjust the first position recorded in the AR glasses and the server according to the actual position or adjust the positioning function of the AR glasses.

In an actual application process, the location information includes longitude and latitude.

According to a specific embodiment of the present application, the determining, by the AR glasses, predetermined information according to image information of the target device includes: the AR glasses acquire initial image information of the target device; the AR glasses perform predetermined processing on the initial image information to obtain the image information, wherein the predetermined processing comprises at least one of region-of-interest extraction, geometric transformation, threshold processing and image filtering; the AR glasses analyze the image information by adopting a first preset model to obtain the first equipment information, wherein the first preset model is trained by machine learning by using multiple groups of first data, and each group of the multiple groups of first data comprises first historical image information and equipment information corresponding to the first historical image information. The initial image information is processed to obtain the image information, and the image information is analyzed to obtain the first device information, so that the accuracy of the obtained preset information can be further ensured to be higher.

In particular, when the image content contains too many pixels, it is difficult for the system to locate valid information. For example, when the size of the whole pixel of the image is 800 × 800, the pixels of the area including the cabinet are only 200 × 200, and the others are all backgrounds, so the direct comparison effect is poor. Can be improved by an interesting extraction, comprising the following steps: preprocessing the image, and quickly finding a target Region containing effective information, namely an ROI (Region of Interest); the collected cabinet body photos of the electrical equipment are sketched out of an area needing to be processed in a square frame, circle, ellipse, irregular polygon and other modes, and further processing or direct comparison is carried out in the area; there are many ways to find the ROI, such as based on the color of the cabinet. From the aspect of color, different cabinet colors have stable characteristics on the picture and cannot change along with background color, angle, size and the like. The cabinet ROI can be rapidly identified according to the characteristics and the rule modeling, so that the cabinet area and the non-cabinet area are separated.

Due to the imaging and acquisition angles and other reasons, the acquired cabinet body can be deformed to a certain extent, and the deformation does not bring great interference to naked eyes but is quite different from a computer; the situation is called geometric distortion of the image, the picture quality can be improved through geometric change, and specifically, geometric transformation such as scaling, turning, affine transformation, mapping and the like can be carried out on the image to the maximum extent. The geometric transformation does not change the pixel value of the image, but transforms the coordinates of the pixels, changes the arrangement relation between the pixels, and further focuses attention on the characteristics of the image content, but not on other information such as position, angle, scale and the like.

The geometric transformation does not change the pixel value of the picture, so that the problem that the image presents different conditions due to environmental factors such as light and the like cannot be solved. Taking a gray image as an example, when a certain pixel is represented by 8 bits (8-bit binary bit width), 256 gray levels exist in a single pixel, and calculation errors can be caused by directly using the gray levels for calculation; in this case, the image needs to be subjected to threshold processing, and the specific steps are as follows: the gray scale is limited, the gray scales of the collected image and the bottom library photo are unified as much as possible, the image may be distorted from the naked eye, and the processing and the recognition of a computer are not influenced. The 256 gray scales are divided into several sections according to actual conditions, and the pixels in the sections are assigned to a certain pixel value, so that the influence of different gray values can be reduced.

The image is often disturbed during the forming and transmission process, and noise is introduced into the resulting image. The slight noise signals can not interfere the observability of the image, but when the noise is serious, more useless information is presented in the image, the cabinet body cannot be identified, the false identification is caused, and the like; in the case of keeping the observable information of the image as much as possible, the noise that appears is detected and filtered, a process called image filtering. The specific process of image filtering is as follows: image filtering is an indispensable link in image preprocessing and is generally solved by constructing an image filter. The filter can efficiently remove noise, can keep the characteristics of an image target and cannot damage the outline and the edge of the image; for the noise frequently appearing in the picture, the characteristics of the noise can be found by a statistical means, and then a general filter is developed, such as filtering of mean value, median value, square frame, bilateral edge and the like, and noise filtering is carried out; of course, some of the noise is less effective when removed using sophisticated filtering techniques, which must be designed by itself, also referred to as convolution techniques.

In order to further ensure that the intelligent monitoring effect on the transformer substation is better and further ensure that the response processing is performed on the abnormal condition in the transformer substation in time, according to another specific embodiment of the present application, the method further comprises: under the condition of receiving alarm information sent by the server, the AR glasses determine whether a processing scheme corresponding to abnormal operation information exists or not, wherein the alarm information comprises the abnormal operation information, and the abnormal operation information is abnormal information of the electrical equipment in the operation process; if it is determined that the processing scenario does not exist, the AR glasses transmit request information corresponding to the abnormal operation information, where the request information is used to request the server to transmit the processing scenario corresponding to the abnormal operation information; in a case where it is determined that the processing scenario exists or the processing scenario fed back by the server is received, the AR glasses display the processing scenario. The AR glasses receive the alarm information and determine whether a processing scheme exists or not, and request the server to send the processing scheme about the abnormal operation information and display the processing scheme under the condition that the processing method does not exist, so that the AR glasses wearer can find the abnormal operation information in time and timely and accurately solve the abnormal operation information according to the displayed processing scheme.

According to another specific embodiment of the present application, the alarm information further includes a second location, where the second location is a location of the electrical device that operates abnormally, and the AR glasses determine whether a processing scenario corresponding to the abnormal operation information exists when the alarm information transmitted by the server is received, including: the AR glasses determine whether the AR glasses are located at the second position or not when the alarm information sent by the server is received; when the AR glasses determine that the AR glasses are not located at the second position, the AR glasses generate path information from the real-time position of the AR glasses to the second position; the AR glasses display the path information; and the AR glasses determine whether a processing scheme corresponding to the abnormal operation information exists. By determining the second position, the AR glasses wearer can timely catch up to the position of the electrical equipment which runs abnormally according to the information displayed by the AR glasses, and timely process the abnormal running information.

According to another exemplary embodiment of the present application, there is provided an intelligent monitoring method of a substation including a plurality of electrical devices, which may be applied to a server.

Fig. 2 is a flowchart of an intelligent monitoring method of a substation according to an embodiment of the present application. As shown in fig. 2, the method comprises the steps of:

step S201, a server receives image information of a target device and predetermined information, the image information and the predetermined information being transmitted by AR glasses, the target device being one of a plurality of electrical devices, the predetermined information including first device information, the first device information being device information of the target device determined by the AR glasses according to the image information;

step S202, the server determines whether the predetermined information exists in a database;

step S203, in a case that it is determined that the predetermined information exists in the database, the server acquires first device operation information from the database, where the first device operation information is operation information of a device corresponding to the first device information;

step S204, the server determines second device information and second device operation information according to the image information, where the second device information is device information of the target device, and the second device operation information is operation information of the target device;

step S205, the server sends feedback information to the AR glasses, so that the AR glasses at least display part of the feedback information, where the feedback information includes the first device operation information, the second device operation information, and the second device information.

In the intelligent monitoring method for a substation, the server receives image information of a target device and predetermined information including first device information, the image information being sent by AR glasses, the target device being one of the plurality of electrical devices, the first device information being device information of the target device determined by the AR glasses according to the image information; then determining whether the predetermined information exists in the database; when the preset information exists in the database, the server acquires operation information of equipment corresponding to the first equipment information from the database as first equipment operation information; determining second device information and second device operation information according to the image information, wherein the second device information is the device information of the target device, and the second device operation information is the operation information of the target device; and finally, the server sends feedback information to the AR glasses so that the AR glasses at least display part of the feedback information, wherein the feedback information comprises the first equipment operation information, the second equipment operation information and the second equipment information. Compared with the problem of lack of intelligent real-time monitoring on the power supply condition, the power utilization safety and other operation conditions of the transformer substation in the prior art, in the intelligent monitoring method of the transformer substation, the server firstly receives the image information of the target device and the preset information comprising the first device information of the target device, which are sent by the AR glasses, then determines whether the preset information exists in a database, so that the server determines the first device operation information of the target device according to the preset information, determines the second device information and the second device operation information of the target device according to the image information, and finally receives the feedback information comprising the information, which is sent by the server, and displays at least part of the feedback information on the AR glasses, so that a wearer of the AR glasses can conveniently determine the operation information of the target device, the intelligent monitoring of the operation condition of the electrical equipment in the transformer substation is realized. And the method determines corresponding equipment information according to the image information of the target equipment, and then sends the image information to the server, so that the server confirms the equipment information again according to the image information, and obtains the running information of the equipment according to the two times of equipment information through the server, thereby ensuring that the obtained running information corresponds to the target equipment and obtaining the running information of the target equipment more accurately.

According to a specific embodiment of the present application, the determining, by the server, second device information and second device operation information according to the image information includes: the server analyzes the image information by using a second preset model to determine a characteristic value corresponding to the image information, wherein the second preset model is trained by machine learning by using a plurality of groups of second data, and each group of the plurality of groups of second data comprises second historical image information and equipment information corresponding to the second historical image information; the server determines corresponding second equipment information according to the characteristic value; and the server acquires the second equipment operation information corresponding to the second equipment information from the database. The image information is analyzed to obtain the characteristic value, the second device information is determined according to the characteristic value, and finally the second device operation information corresponding to the second device information is found from the database, so that the accuracy of the obtained second device operation information can be further ensured to be higher.

In order to further ensure that the intelligent monitoring effect on the transformer substation is better and further ensure that the abnormal condition in the transformer substation is responded and processed in a timely manner, according to another specific embodiment of the present application, the method further comprises: the server generates alarm information when detecting that at least one electrical device is abnormally operated, wherein the alarm information comprises abnormal operation information and a second position, the abnormal operation information is abnormal information of the electrical device in the operation process, and the second position is the position of the electrical device which is abnormally operated; the server transmitting the alarm information to the AR glasses when determining the communication connection with the AR glasses; and if the communication connection with the AR glasses is determined, the server transmits the alarm information to a terminal. The server confirms whether the AR glasses are in communication connection or not, sends the generated alarm information to the AR glasses under the condition of connection, and sends the generated alarm information to the terminal under the condition of no communication connection with the AR glasses, so that the alarm information can be notified to related personnel as soon as possible, and the abnormal operation information is further processed in time.

Specifically, the alarm information is sent to a terminal, and the alarm information can be sent to a set mobile phone number in a short message or telephone mode.

The server, when determining that the AR glasses are not communicatively connected, transmits the alarm information to a terminal, and further includes: the server transmits the alarm information and information that the communication connection with the AR glasses is not established to the terminal when determining that the communication connection with the AR glasses is not established.

According to another specific embodiment of the present application, the method further includes: the server determines a processing scheme under the condition of receiving request information, wherein the request information is used for requesting the processing scheme corresponding to the abnormal operation information sent by the AR glasses; the server transmits the processing scheme to the AR glasses. Therefore, the abnormal operation information is guaranteed to be processed in time.

The embodiment of the application further provides an intelligent monitoring device of a transformer substation, the transformer substation comprises a plurality of electrical devices, the device is applied to the AR glasses, and it needs to be explained that the intelligent monitoring device of the transformer substation of the embodiment of the application can be used for executing the intelligent monitoring method for the transformer substation provided by the embodiment of the application. The intelligent monitoring device of the transformer substation provided by the embodiment of the application is introduced below.

Fig. 3 is a schematic diagram of an intelligent monitoring device of a substation according to an embodiment of the present application. As shown in fig. 3, the apparatus includes a first determining unit 10, a first transmitting unit 20, and a first control unit 30, wherein the first determining unit 10 is configured to determine predetermined information by the AR glasses according to image information of a target device, the predetermined information includes first device information of the target device, the target device is one of the plurality of electrical devices, and the first device information is device information of the target device; the first transmitting unit 20 is configured to transmit the image information and the predetermined information to a server through the AR glasses; the first control unit 30 is configured to, when receiving feedback information transmitted by the server, the AR glasses display at least part of the feedback information, where the feedback information includes first device operation information, second device operation information, and second device information, the first device operation information is operation information of the target device determined by the server based on the predetermined information, the second device information is device information of the target device determined by the server based on the image information, and the second device operation information is operation information of the target device determined by the server based on the image information.

In the intelligent monitoring apparatus for a substation, predetermined information including first device information of a target device is determined by the first determining unit AR glasses according to image information of the target device, where the target device is one of the plurality of electrical devices, and the first device information is device information of the target device; sending the image information and the predetermined information to a server through the first sending unit AR glasses; by the first control unit, when receiving feedback information sent by the server, the AR glasses display at least part of the feedback information, where the feedback information includes first device operation information, second device operation information, and second device information, the first device operation information is operation information of the target device determined by the server according to the predetermined information, and the second device information and the second device operation information are device information of the target device and operation information of the device determined by the server according to the image information. Compared with the problem of lack of intelligent real-time monitoring on the power supply condition, the power utilization safety and other operation conditions of the transformer substation in the prior art, in the intelligent monitoring device of the transformer substation, the AR glasses determine the preset information comprising the first equipment information of the target equipment through the image information of the target equipment, send the image information and the preset information to the server, enable the server to determine the first equipment operation information of the target equipment according to the preset information, enable the server to determine the second equipment information and the second equipment operation information of the target equipment according to the image information, receive the feedback information comprising the information sent by the server and at least display part of the feedback information, so as to facilitate the AR glasses wearer to determine the operation information of the target equipment, the intelligent monitoring of the operation condition of the electrical equipment in the transformer substation is realized. In addition, in the device, the AR glasses determine corresponding device information according to the image information of the target device, and then send the image information to the server, so that the server reconfirms the device information according to the image information, and the server acquires the operation information of the device according to the device information twice, thereby ensuring that the acquired operation information corresponds to the target device and more accurately acquiring the operation information of the target device.

According to a specific embodiment of the present application, the first control unit includes a first determining module, a first control module, and a second control module, where the first determining module is configured to determine whether the first device information and the second device information are the same when the AR glasses receive the feedback information; the first control module is configured to, when the first device information and the second device information are the same, display the first device operation information or the second device operation information on the AR glasses; the second control module is configured to, when the first device information and the second device information are different, display the first device information, the information source of the first device information, the first device operation information, the second device information, the information source of the second device information, and the second device operation information on the AR glasses. The AR glasses display the first device information, an information source of the first device information, the first device operation information, the second device information, an information source of the second device information, and the second device operation information when the first device information and the second device information are not identical, thereby ensuring that a person wearing the AR glasses can select correct information from the feedback information according to display contents and actual conditions of the AR glasses, and further ensuring that finally obtained device information and operation information correspond to a target device.

In order to further ensure that the accuracy of the obtained device information and operation information of the electrical device is high, according to another specific embodiment of the present application, the apparatus further includes a second control unit, a third control unit, and a deletion unit, where the second control unit is configured to, when the first device information and the second device information are different, display a first option identifier and a second option identifier on the AR glasses, where the first option identifier is set corresponding to the first device information, and the second option identifier is set corresponding to the second device information; the third control unit is configured to, in a case where a first predetermined operation acting on the first option identifier is received, display the first device information and the first device operation information by the AR glasses, generate a selection result, and send the selection result to the server; the deletion unit is configured to delete the first device information and save the second device information by the AR glasses when a second predetermined operation acting on the second option identifier is received. Under the condition of receiving the first preset operation, the AR glasses display the first equipment information and the first equipment running information, generate a result and send the result to the server, so that an operation and maintenance worker of the server changes a relevant verification program in the server according to the generated result, the follow-up server can be ensured to accurately determine the equipment information of the electrical equipment according to the image information, and under the condition of receiving the second preset operation, the AR glasses delete the first equipment information and store the second equipment information, and the follow-up determination of the equipment information by the AR glasses according to the image information of the electrical equipment is ensured to be accurate.

In an actual application process, there may be a problem that actual position information of an electrical device may not be consistent with position information recorded in a server or AR glasses, and there may also be a problem that positioning of the AR glasses is inaccurate, and in order to ensure that the above problem is found in a timely manner, according to another specific embodiment of the present application, the predetermined information further includes a first position representing position information of the target device, the apparatus further includes a first obtaining unit, a second determining unit, a first generating unit, and a fourth controlling unit, where the first obtaining unit is configured to obtain a real-time position of the AR glasses after the AR glasses determine the predetermined information according to image information of the target device; the second determining unit is used for the AR glasses to determine whether the range of the real-time position and the first position is smaller than a preset range; the first generating unit is used for generating verification failure information by the AR glasses when the real-time position of the AR glasses and the range of the first position are determined to be larger than or equal to the preset range; the fourth control unit is configured to display the verification failure information, the first position, and the real-time position of the AR glasses. According to the AR glasses, the verification failure information is generated and displayed under the condition that the range of the real-time position of the AR glasses and the range of the real-time position of the AR glasses are larger than or equal to the preset range through comparison of the first position and the real-time position of the AR glasses, the condition that an AR wearer finds out the information of the electrical equipment with the first position not matched with the actual position in time or finds out the problem that the positioning function of the AR glasses is inaccurate in time is guaranteed, and therefore subsequent related personnel can conveniently adjust the first position recorded in the AR glasses and the server according to the actual position or adjust the positioning function of the AR glasses.

According to a specific embodiment of the present application, the first determining unit includes a first obtaining module, a processing module, and a first analyzing module, where the first obtaining module is used for the AR glasses to obtain initial image information of the target device; the processing module is used for the AR glasses to perform preset processing on the initial image information to obtain the image information, wherein the preset processing comprises at least one of region-of-interest extraction, geometric transformation, threshold processing and image filtering; the first analysis module is used for analyzing the image information by the AR glasses through a first predetermined model to obtain the first device information, wherein the first predetermined model is trained through machine learning by using a plurality of groups of first data, and each group of the plurality of groups of first data includes first historical image information and device information corresponding to the first historical image information. The initial image information is processed to obtain the image information, and the image information is analyzed to obtain the first device information, so that the accuracy of the obtained preset information can be further ensured to be higher.

The geometric transformation does not change the pixel value of the picture, so that the problem that the image presents different conditions due to environmental factors such as light and the like cannot be solved. Taking a gray image as an example, when 8 bits (8-bit binary bit width) is used for representing a certain pixel, 256 gray levels exist in a single pixel, and calculation errors can be caused by directly utilizing the gray levels to calculate; in this case, the image needs to be subjected to threshold processing, and the specific steps are as follows: the gray scale is limited, the gray scales of the collected image and the bottom library photo are unified as much as possible, the image may be distorted from the naked eye, and the processing and the recognition of a computer are not influenced. The 256 gray scales are divided into several sections according to actual conditions, and the pixels in the sections are assigned to a certain pixel value, so that the influence of different gray values can be reduced.

The image is often disturbed during the forming and transmission process, and noise is introduced into the resulting image. The slight noise signals can not interfere the observability of the image, but when the noise is serious, more useless information is presented in the image, the cabinet body cannot be identified, the false identification is caused, and the like; in the case of keeping the observable information of the image as much as possible, the noise that appears is detected and filtered, a process called image filtering. The specific process of image filtering is as follows: image filtering is an indispensable link in image preprocessing and is generally solved by constructing an image filter. The filter can efficiently remove noise, can keep the characteristics of an image target and cannot damage the outline and the edge of the image; for the noise frequently appearing in the picture, the characteristics of the noise can be found by a statistical means, and then a general filter is developed, such as filtering of mean value, median value, square frame, bilateral edge and the like, and noise filtering is carried out; of course, some of the noise is less effective when removed using sophisticated filtering techniques, which must be designed on their own, also known as convolution techniques.

In order to further ensure that the intelligent monitoring effect on the transformer substation is better and further ensure that the abnormal situation in the transformer substation is responded and processed in a timely manner, according to another specific embodiment of the present application, the apparatus further includes a third determining unit, a second sending unit and a fifth control unit, where the third determining unit is configured to determine whether a processing scheme corresponding to abnormal operation information exists or not by using the AR glasses when receiving the alarm information sent by the server, where the alarm information includes the abnormal operation information, and the abnormal operation information is abnormal information of the electrical device in an operation process; the second transmitting means is configured to, when it is determined that the processing scenario does not exist, transmit request information corresponding to the abnormal operation information, the request information being used to request the server to transmit the processing scenario corresponding to the abnormal operation information; the fifth control unit is configured to, when it is determined that the processing scenario exists or when the processing scenario fed back by the server is received, display the processing scenario on the AR glasses. The AR glasses receive the alarm information and determine whether a processing scheme exists or not, and request the server to send the processing scheme about the abnormal operation information and display the processing scheme under the condition that the processing scheme does not exist, so that the AR glasses wearer is ensured to find the abnormal operation information in time and timely and accurately solve the abnormal operation information according to the displayed processing scheme.

According to another specific embodiment of the present application, the alarm information further includes a second position, the second position is a position of the electrical device which is abnormally operated, and the third determining unit includes a second determining module, a generating module, a third controlling module, and a third determining module, wherein the second determining module is configured to determine whether the AR glasses are located at the second position when the alarm information transmitted by the server is received; the generating module is used for generating the path information from the real-time position of the AR glasses to the second position when the AR glasses determine that the AR glasses are not located at the second position; the third control module is used for the AR glasses to display the path information; the third determining module is configured to determine whether a processing scheme corresponding to the abnormal operation information exists in the AR glasses. By determining the second position, the AR glasses wearer can timely catch up to the position of the electrical equipment which runs abnormally according to the information displayed by the AR glasses, and timely process the abnormal running information.

The embodiment of the present application further provides an intelligent monitoring device for a transformer substation, where the transformer substation includes a plurality of electrical devices, and the device may be applied to a server. The intelligent monitoring device of the transformer substation provided by the embodiment of the application is introduced below.

Fig. 4 is a schematic diagram of an intelligent monitoring device of a substation according to an embodiment of the present application. As shown in fig. 4, the apparatus includes a receiving unit 40, a fourth determining unit 50, a second acquiring unit 60, a fifth determining unit 70, and a third transmitting unit 80, wherein the receiving unit 40 is configured to receive, by a server, image information of a target device and predetermined information, the image information being transmitted by AR glasses, the target device being one of the plurality of electrical devices, the predetermined information including first device information, the first device information being device information of the target device determined by the AR glasses based on the image information; the fourth determining unit 50 is configured to determine whether the predetermined information exists in a database by the server; the second obtaining unit 60 is configured to, when it is determined that the predetermined information exists in the database, obtain, by the server, first device operation information from the database, where the first device operation information is operation information of a device corresponding to the first device information; the fifth determining unit 70 is configured to determine, by the server, second device information and second device operation information according to the image information, where the second device information is device information of the target device, and the second device operation information is operation information of the target device; the third sending unit 80 is configured to send, by the server, feedback information to the AR glasses so that the AR glasses display at least part of the feedback information, where the feedback information includes the first device operation information, the second device operation information, and the second device information.

In the intelligent monitoring apparatus of the substation, the server receives, by the receiving unit, image information of a target device and predetermined information including first device information, the image information being transmitted by AR glasses, the target device being one of the plurality of electrical devices, the first device information being device information of the target device determined by the AR glasses based on the image information; determining whether the predetermined information exists in the database by the fourth determination unit; when the second obtaining unit determines that the predetermined information exists in the database, the server obtains operation information of the device corresponding to the first device information from the database as first device operation information; determining, by the server according to the image information, second device information and second device operation information by the fifth determining unit, where the second device information is device information of the target device, and the second device operation information is operation information of the target device; and the server transmits feedback information to the AR glasses through the third transmitting unit, so that the AR glasses display at least part of the feedback information, where the feedback information includes the first device operation information, the second device operation information, and the second device information. Compared with the problem of lack of intelligent real-time monitoring on the running conditions of power supply condition, electricity safety and the like of a transformer substation in the prior art, the intelligent monitoring device of the transformer substation determines whether the preset information exists in a database by receiving the image information of the target equipment and the preset information comprising the first equipment information of the target equipment, which are sent by the AR glasses, so that the server determines the first equipment running information of the target equipment according to the preset information, determines the second equipment information and the second equipment running information of the target equipment according to the image information, receives the feedback information comprising the information sent by the server and displays at least part of the feedback information on the AR glasses, and a wearer of the AR glasses can conveniently determine the running information of the target equipment, the intelligent monitoring of the operation condition of the electrical equipment in the transformer substation is realized. And the device determines corresponding equipment information according to the image information of the target equipment and then sends the image information to the server, so that the server confirms the equipment information again according to the image information, and obtains the running information of the equipment according to the two times of equipment information through the server, thereby ensuring that the obtained running information corresponds to the target equipment and obtaining the running information of the target equipment more accurately.

According to a specific embodiment of the present application, the fifth determining unit includes a second analyzing module, a fourth determining module, and a second obtaining module, where the second analyzing module is configured to analyze the image information by using a second predetermined model, and determine a feature value corresponding to the image information, the second predetermined model is trained by machine learning using multiple sets of second data, and each of the multiple sets of second data includes second historical image information and device information corresponding to the second historical image information; the fourth determining module is configured to determine, by the server, the corresponding second device information according to the feature value; the second obtaining module is configured to obtain, by the server, the second device operation information corresponding to the second device information from the database. The image information is analyzed to obtain the characteristic value, the second device information is determined according to the characteristic value, and finally the second device operation information corresponding to the second device information is found from the database, so that the accuracy of the obtained second device operation information can be further ensured to be higher.

In order to further ensure a better intelligent monitoring effect on the substation and further ensure timely response processing to abnormal conditions in the substation, according to another specific embodiment of the present application, the apparatus further includes a second generating unit, a fourth transmitting unit, and a fifth transmitting unit, where the second generating unit is configured to generate alarm information when the server detects that at least one of the electrical devices is abnormally operated, where the alarm information includes abnormal operation information and a second position, the abnormal operation information is abnormal information of the electrical device in an operation process, and the second position is a position of the electrical device that is abnormally operated; the fourth transmitting means is configured to transmit the alarm information to the AR glasses when the server determines that the communication connection with the AR glasses is established; the fifth transmitting means is configured to transmit the alarm information to a terminal when it is determined that the communication connection with the AR glasses is not established. By confirming whether the communication connection with the AR glasses is carried out or not, the generated alarm information is sent to the AR glasses under the condition of connection, and the generated alarm information is sent to a terminal under the condition of no communication connection with the AR glasses, so that the alarm information can be informed to related personnel as soon as possible, and the abnormal operation information is further ensured to be processed in time.

The fifth transmitting unit may include a transmitting module configured to transmit the alarm information and information that the communication connection with the AR glasses is not made to the terminal together, when it is determined that the communication connection with the AR glasses is not made.

According to another specific embodiment of the present application, the apparatus further includes a sixth determining unit and a sixth sending unit, where the sixth determining unit is configured to determine a processing scheme when the server receives request information, where the request information is the processing scheme sent by the AR glasses and used for requesting the abnormal operation information; the sixth transmitting means is configured to transmit the processing recipe to the AR glasses by the server. Therefore, the abnormal operation information is guaranteed to be processed in time.

The intelligent monitoring device of the transformer substation comprises a processor and a memory, wherein the first determining unit, the first sending unit, the first control unit, the receiving unit, the fourth determining unit, the second acquiring unit, the fifth determining unit, the third sending unit and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions.

The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be set to be one or more than one, and the problem that the intelligent real-time monitoring on the power supply condition, the power utilization safety and other running conditions of the transformer substation is lacked in the prior art is solved by adjusting the kernel parameters.

The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.

An embodiment of the present invention provides a computer-readable storage medium, on which a program is stored, where the program, when executed by a processor, implements the above-mentioned intelligent monitoring method for a substation.

The embodiment of the invention provides a processor, which is used for running a program, wherein the intelligent monitoring method of a transformer substation is executed when the program runs.

The embodiment of the invention provides equipment, which comprises a processor, a memory and a program which is stored on the memory and can run on the processor, wherein when the processor executes the program, at least the following steps are realized:

step S103, when receiving feedback information sent by the server, the AR glasses display at least a part of the feedback information, where the feedback information includes first device operation information, second device operation information, and second device information, the first device operation information is operation information of the target device determined by the server according to the predetermined information, the second device information is device information of the target device determined by the server according to the image information, and the second device operation information is operation information of the target device determined by the server according to the image information,

or the processor executes the program to realize at least the following steps:

The device herein may be a server, a PC, a PAD, a mobile phone, etc.

The present application further provides a computer program product adapted to perform a program of initializing at least the following method steps when executed on a data processing device:

or to execute a program initialized with at least the following method steps:

According to another exemplary embodiment of the present application, there is further provided a processor, where the processor is configured to execute a program, where the program executes an intelligent monitoring method of the substation.

According to another exemplary embodiment of the present application, there is also provided an intelligent monitoring system of a substation, including AR glasses and a server, wherein the AR glasses are configured to perform any one of the above methods applied to the AR glasses; the server is configured to perform any one of the above methods applied to the server, and the server periodically transmits the heartbeat packet to the AR glasses, and/or the AR glasses periodically transmits the heartbeat packet to the server.

The intelligent monitoring system of the transformer substation comprises AR glasses and a server, wherein the AR glasses are used for executing any one of the methods applied to the AR glasses; the server is configured to perform any one of the above methods applied to the server, and the server periodically transmits the heartbeat packet to the AR glasses, and/or the AR glasses periodically transmits the heartbeat packet to the server. Compared with the problem of lack of intelligent real-time monitoring on the power supply condition, the power utilization safety and other running conditions of the transformer substation in the prior art, in the intelligent monitoring system of the transformer substation, firstly, the AR glasses determine the preset information comprising the first equipment information of the target equipment through the image information of the target equipment, then, the image information and the preset information are sent to the server, the server determines the first equipment running information of the target equipment according to the preset information, the server determines the second equipment information and the second equipment running information of the target equipment according to the image information, and finally, the feedback information comprising the information sent by the server is received and at least part of the feedback information is displayed on the AR glasses, so that a wearer of the AR glasses can conveniently determine the running information of the target equipment, the intelligent monitoring of the operation condition of the electrical equipment in the transformer substation is realized. And the AR glasses determine corresponding equipment information according to the image information of the target equipment and then send the image information to the server, so that the server confirms the equipment information again according to the image information, and the server acquires the running information of the equipment according to the two times of equipment information, thereby ensuring that the obtained running information corresponds to the target equipment and ensuring that the running information of the target equipment is obtained more accurately.

In a specific embodiment, the server is a zhentai cloud, and a core of the zhentai cloud is an industrial internet PaaS (Platform As a Service) Platform (multiple communication modes, which realize interconnection and intercommunication, and multiple communication modes are plug and play), and the server is connected with manufacturing and operation management data inside an enterprise to provide a large amount of application services.

The AR glasses comprise a camera and a display, and have photographing and displaying functions. The above-described AR glasses and the above-described server will be described below with reference to fig. 5.

The AR glasses comprise a first autonomous learning module, a first physical model module and a route navigation module. The first autonomous learning module is used for autonomously learning electrical equipment and fault phenomena in the transformer substation through machine vision, extracting equipment information aiming at the electrical equipment cable, and indexing a processing scheme aiming at abnormal operation information of the equipment; the first physical model module is used for 1:1 construction of 3D physical models of electrical equipment in substations such as transmission and distribution lines, power distribution cabinets and the like; the route navigation module is used for calling the Goods SDK to obtain a navigation path according to the longitude and latitude of the target position, and navigating and avoiding according to the system budget high-risk position. The server comprises a second autonomous learning module, a second physical model module and a data module. The second autonomous learning module is used for machine vision autonomous learning of electrical equipment and fault phenomena in the transformer substation, extracting equipment information for the electrical equipment cable, and indexing a processing scheme for abnormal operation information of the equipment; the second physical model module is used for 1:1 construction of 3D physical models of all electrical equipment in substations such as transmission and distribution lines, power distribution cabinets and the like; the data module is used for monitoring field data in the transformer substation in real time and calling an operation and maintenance platform system interface to acquire the data.

When the AR glasses are offline with the server, the AR glasses can complete functions by themselves; when the AR glasses and the server are online, the screening results of the AR glasses and the server can be verified mutually, so that the accuracy is improved; the AR glasses updating program is complex, new product information can be updated in the server and synchronized to the AR glasses, and updating iteration of products in the later period is facilitated.

In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.

In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the above-described division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated unit may be stored in a computer-readable storage medium if it is implemented in the form of a software functional unit and sold or used as a separate product. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the above methods according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.

From the above description, it can be seen that the above-described embodiments of the present application achieve the following technical effects:

1) in the intelligent monitoring method for the substation, first, the AR glasses determine predetermined information including first device information of a target device according to image information of the target device, where the target device is one of the plurality of electrical devices, and the first device information is device information of the target device; then, the AR glasses send the image information and the preset information to a server; and finally, when receiving feedback information sent by the server, the AR glasses display at least part of the feedback information, where the feedback information includes first device operation information, second device operation information, and second device information, the first device operation information is operation information of the target device determined by the server according to the predetermined information, and the second device information and the second device operation information are device information of the target device and operation information of the device determined by the server according to the image information. Compared with the problem of lack of intelligent real-time monitoring on the power supply condition, the power utilization safety and other running conditions of the transformer substation in the prior art, in the intelligent monitoring method of the transformer substation, the AR glasses firstly determine the preset information comprising the first equipment information of the target equipment through the image information of the target equipment, then send the image information and the preset information to the server, so that the server determines the first equipment running information of the target equipment according to the preset information, determines the second equipment information and the second equipment running information of the target equipment according to the image information, and finally receives the feedback information comprising the information sent by the server and at least displays part of the feedback information so as to facilitate the wearer of the AR glasses to determine the running information of the target equipment, the intelligent monitoring of the operation condition of the electrical equipment in the transformer substation is realized. In the method, the AR glasses determine corresponding device information according to the image information of the target device, and then send the image information to the server, so that the server confirms the device information again according to the image information, and the server acquires the operation information of the device according to the device information twice, thereby ensuring that the acquired operation information corresponds to the target device and ensuring that the operation information of the target device is acquired more accurately.

2) In the intelligent monitoring method for a substation, the server receives image information of a target device and predetermined information including first device information, the image information being sent by AR glasses, the target device being one of the plurality of electrical devices, the first device information being device information of the target device determined by the AR glasses according to the image information; then determining whether the predetermined information exists in the database; when the preset information exists in the database, the server acquires operation information of equipment corresponding to the first equipment information from the database as first equipment operation information; determining second device information and second device operation information according to the image information, wherein the second device information is the device information of the target device, and the second device operation information is the operation information of the target device; and finally, the server sends feedback information to the AR glasses so that the AR glasses at least display part of the feedback information, wherein the feedback information comprises the first equipment operation information, the second equipment operation information and the second equipment information. Compared with the problem of lack of intelligent real-time monitoring on the power supply condition, the power utilization safety and other operation conditions of the transformer substation in the prior art, in the intelligent monitoring method of the transformer substation, the server firstly receives the image information of the target device and the preset information comprising the first device information of the target device, which are sent by the AR glasses, then determines whether the preset information exists in a database, so that the server determines the first device operation information of the target device according to the preset information, determines the second device information and the second device operation information of the target device according to the image information, and finally receives the feedback information comprising the information, which is sent by the server, and displays at least part of the feedback information on the AR glasses, so that a wearer of the AR glasses can conveniently determine the operation information of the target device, the intelligent monitoring of the operation condition of the electrical equipment in the transformer substation is realized. And the method determines corresponding equipment information according to the image information of the target equipment, and then sends the image information to the server, so that the server confirms the equipment information again according to the image information, and obtains the running information of the equipment according to the two times of equipment information through the server, thereby ensuring that the obtained running information corresponds to the target equipment and obtaining the running information of the target equipment more accurately.

3) In the intelligent monitoring apparatus for a substation, the predetermined information including first device information of a target device is determined by the first determining unit AR glasses according to image information of the target device, where the target device is one of the plurality of electrical devices, and the first device information is device information of the target device; sending the image information and the predetermined information to a server through the first sending unit AR glasses; by the first control unit, when receiving feedback information sent by the server, the AR glasses display at least part of the feedback information, where the feedback information includes first device operation information, second device operation information, and second device information, the first device operation information is operation information of the target device determined by the server according to the predetermined information, and the second device information and the second device operation information are device information of the target device and operation information of the device determined by the server according to the image information. Compared with the problem of lack of intelligent real-time monitoring on the power supply condition, the power utilization safety and other operation conditions of the transformer substation in the prior art, in the intelligent monitoring device of the transformer substation, the AR glasses determine the preset information comprising the first equipment information of the target equipment through the image information of the target equipment, send the image information and the preset information to the server, enable the server to determine the first equipment operation information of the target equipment according to the preset information, enable the server to determine the second equipment information and the second equipment operation information of the target equipment according to the image information, receive the feedback information comprising the information sent by the server and at least display part of the feedback information, so as to facilitate the AR glasses wearer to determine the operation information of the target equipment, the intelligent monitoring of the operation condition of the electrical equipment in the transformer substation is realized. In the device, the AR glasses determine corresponding equipment information according to the image information of the target equipment and then send the image information to the server, so that the server confirms the equipment information again according to the image information, and the server acquires the running information of the equipment according to the two times of equipment information, thereby ensuring that the obtained running information corresponds to the target equipment and ensuring that the running information of the target equipment is obtained more accurately.

4) In the intelligent monitoring apparatus for a substation, the server receives, via the receiving unit, image information of a target device and predetermined information including first device information, the image information being transmitted by AR glasses, the target device being one of the plurality of electrical devices, the first device information being device information of the target device determined by the AR glasses based on the image information; determining whether the predetermined information exists in the database by the fourth determination unit; when the second obtaining unit determines that the predetermined information exists in the database, the server obtains operation information of the device corresponding to the first device information from the database as first device operation information; determining, by the server according to the image information, second device information and second device operation information by the fifth determining unit, where the second device information is device information of the target device, and the second device operation information is operation information of the target device; and the server transmits feedback information to the AR glasses through the third transmitting unit, so that the AR glasses display at least part of the feedback information, where the feedback information includes the first device operation information, the second device operation information, and the second device information. Compared with the problem of lack of intelligent real-time monitoring on the running conditions of power supply condition, electricity safety and the like of a transformer substation in the prior art, the intelligent monitoring device of the transformer substation determines whether the preset information exists in a database by receiving the image information of the target equipment and the preset information comprising the first equipment information of the target equipment, which are sent by the AR glasses, so that the server determines the first equipment running information of the target equipment according to the preset information, determines the second equipment information and the second equipment running information of the target equipment according to the image information, receives the feedback information comprising the information sent by the server and displays at least part of the feedback information on the AR glasses, and a wearer of the AR glasses can conveniently determine the running information of the target equipment, the intelligent monitoring of the operation condition of the electrical equipment in the transformer substation is realized. And the device determines corresponding equipment information according to the image information of the target equipment and then sends the image information to the server, so that the server confirms the equipment information again according to the image information, and obtains the running information of the equipment according to the two times of equipment information through the server, thereby ensuring that the obtained running information corresponds to the target equipment and obtaining the running information of the target equipment more accurately.

5) The intelligent monitoring system of the transformer substation comprises AR glasses and a server, wherein the AR glasses are used for executing any one of the methods applied to the AR glasses; the server is configured to perform any one of the above methods applied to the server, and the server periodically transmits the heartbeat packet to the AR glasses, and/or the AR glasses periodically transmits the heartbeat packet to the server. Compared with the problem of lack of intelligent real-time monitoring on the power supply condition, the power utilization safety and other running conditions of the transformer substation in the prior art, in the intelligent monitoring system of the transformer substation, firstly, the AR glasses determine the preset information comprising the first equipment information of the target equipment through the image information of the target equipment, then, the image information and the preset information are sent to the server, the server determines the first equipment running information of the target equipment according to the preset information, the server determines the second equipment information and the second equipment running information of the target equipment according to the image information, and finally, the feedback information comprising the information sent by the server is received and at least part of the feedback information is displayed on the AR glasses, so that a wearer of the AR glasses can conveniently determine the running information of the target equipment, the intelligent monitoring of the operation condition of the electrical equipment in the transformer substation is realized. And the AR glasses determine corresponding equipment information according to the image information of the target equipment and then send the image information to the server, so that the server confirms the equipment information again according to the image information, and the server acquires the running information of the equipment according to the two times of equipment information, thereby ensuring that the obtained running information corresponds to the target equipment and ensuring that the running information of the target equipment is obtained more accurately.

The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A method for intelligent monitoring of a substation, the substation comprising a plurality of electrical devices, the method comprising:

the AR glasses determine predetermined information according to image information of a target device, wherein the predetermined information comprises first device information of the target device, the target device is one of the plurality of electrical devices, and the first device information is device information of the target device;

the AR glasses send the image information and the preset information to a server;

the AR glasses display at least part of feedback information under the condition that the feedback information sent by the server is received, wherein the feedback information comprises first equipment operation information, second equipment operation information and second equipment information, the first equipment operation information is the operation information of the target equipment determined by the server according to the preset information, the second equipment information is the equipment information of the target equipment determined by the server according to the image information, and the second equipment operation information is the operation information of the target equipment determined by the server according to the image information.

2. The method of claim 1, wherein the AR glasses, upon receiving the feedback information sent by the server, display at least a portion of the feedback information, comprising:

the AR glasses determine whether the first device information and the second device information are the same when receiving the feedback information;

the AR glasses display the first device running information or the second device running information under the condition that the first device information and the second device information are the same;

and under the condition that the first device information and the second device information are different, the AR glasses display the first device information, the information source of the first device information, the first device operation information, the second device information, the information source of the second device information and the second device operation information.

3. The method of claim 2, wherein if the first device information and the second device information are not the same, the method further comprises:

the AR glasses display a first option identification and a second option identification, wherein the first option identification is arranged corresponding to the first equipment information, and the second option identification is arranged corresponding to the second equipment information;

under the condition that a first preset operation acted on the first option identifier is received, the AR glasses display the first equipment information and the first equipment running information, generate a selection result and send the selection result to the server;

and in the case of receiving a second predetermined operation acting on the second option identifier, the AR glasses delete the first device information and save the second device information.

4. The method of claim 1, wherein the predetermined information further comprises a first location characterizing location information of the target device, and wherein after the AR glasses determine the predetermined information from image information of the target device, the method further comprises:

the AR glasses acquire the real-time position of the AR glasses;

the AR glasses determine whether the range of the self real-time position and the first position is smaller than a preset range;

under the condition that the real-time position of the AR glasses and the range of the first position are determined to be larger than or equal to the preset range, the AR glasses generate verification failure information;

and the AR glasses display the verification failure information, the first position and the real-time position of the AR glasses.

5. The method of claim 1, wherein the AR glasses determine the predetermined information according to the image information of the target device, comprising:

the AR glasses acquire initial image information of the target device;

the AR glasses perform preset processing on the initial image information to obtain the image information, wherein the preset processing comprises at least one of region-of-interest extraction, geometric transformation, threshold processing and image filtering;

the AR glasses analyze the image information by adopting a first preset model to obtain the first equipment information, wherein the first preset model is trained by using multiple groups of first data through machine learning, and each group of the multiple groups of first data comprises first historical image information and equipment information corresponding to the first historical image information.

6. The method of claim 1, further comprising:

under the condition that alarm information sent by the server is received, the AR glasses determine whether a processing scheme corresponding to abnormal operation information exists or not, wherein the alarm information comprises the abnormal operation information, and the abnormal operation information is abnormal information of the electrical equipment in the operation process;

under the condition that the processing scheme does not exist, the AR glasses send request information corresponding to the abnormal operation information, wherein the request information is used for requesting the server to send the processing scheme corresponding to the abnormal operation information;

in a case where it is determined that the processing scheme exists or the processing scheme fed back by the server is received, the AR glasses display the processing scheme.

7. The method according to claim 6, wherein the alarm information further includes a second location, the second location is a location of the electrical device which operates abnormally, and in a case where the alarm information sent by the server is received, the AR glasses determine whether a processing scheme corresponding to the abnormal operation information exists, including:

in the case of receiving the alarm information sent by the server, the AR glasses determine whether the AR glasses are located at the second location;

under the condition that the AR glasses determine that the AR glasses are not located at the second position, the AR glasses generate path information from the real-time position of the AR glasses to the second position;

the AR glasses display the path information;

and the AR glasses determine whether a processing scheme corresponding to the abnormal operation information exists.

8. A method for intelligent monitoring of a substation, the substation comprising a plurality of electrical devices, the method comprising:

the method comprises the steps that a server receives image information and preset information of target equipment sent by AR glasses, the target equipment is one of a plurality of electrical equipment, the preset information comprises first equipment information, and the first equipment information is equipment information of the target equipment determined by the AR glasses according to the image information;

the server determining whether the predetermined information exists in a database;

under the condition that the preset information exists in the database, the server acquires first equipment operation information from the database, wherein the first equipment operation information is operation information of equipment corresponding to the first equipment information;

the server determines second equipment information and second equipment operation information according to the image information, wherein the second equipment information is the equipment information of the target equipment, and the second equipment operation information is the operation information of the target equipment;

the server sends feedback information to the AR glasses so that the AR glasses display at least part of the feedback information, wherein the feedback information comprises the first device operation information, the second device operation information and the second device information.

9. The method of claim 8, wherein the server determines second device information and second device operation information according to the image information, and comprises:

the server analyzes the image information by using a second predetermined model to determine a characteristic value corresponding to the image information, wherein the second predetermined model is trained by machine learning by using a plurality of groups of second data, and each group of the plurality of groups of second data comprises second historical image information and equipment information corresponding to the second historical image information;

the server determines corresponding second equipment information according to the characteristic value;

and the server acquires the second equipment operation information corresponding to the second equipment information from the database.

10. The method of claim 8, further comprising:

the server generates alarm information under the condition that at least one piece of electrical equipment is detected to be abnormal in operation, wherein the alarm information comprises abnormal operation information and a second position, the abnormal operation information is abnormal information of the electrical equipment in the operation process, and the second position is the position of the electrical equipment which is abnormally operated;

the server sends the alarm information to the AR glasses under the condition that the communication connection with the AR glasses is determined;

and the server sends the alarm information to a terminal under the condition that the server is determined not to be in communication connection with the AR glasses.

11. The method of claim 10, further comprising:

the server determines a processing scheme under the condition that request information is received, wherein the request information is used for requesting the processing scheme corresponding to the abnormal operation information sent by the AR glasses;

and the server sends the processing scheme to the AR glasses.