CN112651516A - Intelligent inspection system and method for transformer substation machine room based on AR technology - Google Patents
Intelligent inspection system and method for transformer substation machine room based on AR technology Download PDFInfo
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- G06V10/40—Extraction of image or video features
- G06V10/46—Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
- G06V10/462—Salient features, e.g. scale invariant feature transforms [SIFT]
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- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C1/00—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
- G07C1/20—Checking timed patrols, e.g. of watchman
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- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention discloses an AR technology-based intelligent inspection system and method for a transformer substation machine room, and the system comprises a data processing transmission end and an AR terminal, wherein the data processing transmission end comprises a 5G base station, an MEC edge cloud, an electric 5G core network and an electric power cloud, information acquired by the AR terminal is transmitted to the MEC edge cloud through the 5G network, is processed by an intelligent AR system in the MEC edge cloud, and transmits a processing result back to the AR terminal for information display; according to the invention, the AR technology is used, the cloud end is used for completing data calculation, the 5G is used for completing data transmission, network delay can be reduced, data storage capacity and calculation and analysis capacity are provided, labor and time cost are effectively saved, and the working efficiency and the power safety production level are improved.
Description
The technical field is as follows:
the invention relates to the technical field of substation machine room inspection, in particular to an intelligent inspection system and method of a substation machine room based on AR technology.
Background art:
with the continuous improvement of the information technology level, AR technology, 5G technology, cloud computing technology and the like are rapidly developed, and powerful technical support is provided for the development of various industries in China. In the power industry, how to efficiently realize intelligent inspection of a substation machine room is always a hot research problem. And with the continuous increase of power system equipment, great challenges are brought to the work management of operation and maintenance personnel. Although the AR technology has a certain application in substation routing inspection, the problems of network delay, data storage and processing have not been solved well due to limitations in data calculation and data transmission. Meanwhile, in the inspection by utilizing the AR technology, the traditional inspection method is to inspect according to a constant path and thought, the efficiency is poor, the information of some key equipment cannot be dynamically inspected and inspected, the hidden danger of the equipment cannot be timely discovered, and further the safety accident of power production is sent out.
The invention content is as follows:
the technical problem to be solved by the invention is as follows: the intelligent inspection system and the intelligent inspection method overcome the defects of the prior art, use the AR technology, rely on the AR terminal equipment to complete the acquisition of information images of equipment in a transformer substation, upload the information images to the deployed cloud end through 5G, perform intelligent analysis on data at the cloud end, and can effectively save labor cost, time cost and improve working efficiency.
The technical scheme of the invention is as follows: the utility model provides a transformer substation machine room's intelligence system of patrolling and examining based on AR technique, includes data processing transmission end and AR terminal, characterized by: the data processing and transmitting end is wirelessly and bidirectionally communicated with the AR terminal, the AR terminal comprises a remote assistance module, a positioning module, an equipment state identification module, a data management module and an intelligent inspection module, the remote assistance module, the positioning module and the equipment state identification module are connected with the data management module, the data management module is connected with the intelligent inspection module, the data processing and transmitting end comprises a 5G base station, an MEC edge cloud, an electric power 5G core network and an electric power cloud, the AR terminal is communicated with the MEC edge cloud through the transfer of the 5G base station, and the MEC edge cloud is communicated with the electric power cloud through the electric power 5G core network; the remote assistance module comprises remote consultation, remote training and new technology information pushing sub-modules, and backups and uploads the content for remote assistance to the data management module; the equipment state identification module comprises equipment information such as equipment ledger information, equipment operation and maintenance records, an equipment internal structure, technical parameters, a working principle and the like, and further comprises a state identification module.
Further, the MEC edge cloud adopts a traditional layered architecture of LaaS, PaaS, and SaaS, and the edge infrastructure layer adopts a lightweight architecture.
An intelligent inspection method of a transformer substation machine room based on AR technology is characterized by comprising the following steps: acquiring equipment state information of a substation machine room through an equipment state identification module in an AR terminal, and butting the equipment state information with an intelligent AR system deployed on an MEC edge cloud through a 5G network;
step two, the intelligent AR system appoints a routing inspection plan to process according to the received equipment state information and historical data information and in combination with the power routing inspection operation regulation, returns the processing result to a data management module in the AR terminal, and sends a routing inspection real-time route to the intelligent routing inspection module by the data management module to be displayed;
thirdly, the personnel obtain corresponding guidance according to the display picture and execute the routing inspection plan;
in the inspection, remote assistance is obtained through the AR terminal through remote consultation, remote training and new technology information pushing, and meanwhile, the content for remote assistance is backed up in the internal data management module;
and fifthly, a positioning module in the AR terminal accurately positions the position of the AR terminal in real time, assists in recording the positions of the instruments and equipment needing important marking and attention in the inspection process, gives an optimal inspection route in time, and updates an inspection plan.
Furthermore, the equipment state information comprises equipment information and state information, the equipment information comprises equipment standing book basic information, equipment operation and maintenance records, an equipment internal structure, technical parameters, test parameters and a working principle, and the state information is realized through a state identification module.
Further, the state recognition module is used for automatically recognizing the pressing plate, the air switch, the indicator lamp, the equipment instrument and the temperature and humidity information of the machine room in the transformer substation in batches when the transformer substation machine room is subjected to inspection, early warning is carried out on abnormal information, the temperature and humidity of the equipment and the numerical value of the instrument can be recorded and stored, the data recorded at each time are analyzed at the cloud end, a data change trend graph is drawn, and early warning is carried out on abnormal equipment data which possibly appear in advance.
Further, the obtaining of the state information is performed according to the following steps:
step 1: the method comprises the steps of switch image acquisition, wherein a camera is used for acquiring image information of equipment such as an air switch and the like, the image is processed and then subjected to secondary processing by a decoding chip and a Cartesian coordinate sampling method, and according to a digital video standard, a signal is converted into a digital color difference signal and then the digital signal is processed;
step 2: switching image positioning, namely positioning the acquired image by adopting a scale-invariant feature transformation algorithm in the field of image registration in order to reduce interference factors and improve the image identification effect by considering the existence of possible interferents around the acquired image;
and step 3: the method comprises the steps that a switch image is subjected to graying and binarization processing, in order to improve the calculation efficiency, a 24-bit color image is converted into a gray image, meanwhile, for a YUV format picture, a method of extracting a Y component and neglecting a UV component is adopted, and a brightness value is used as a gray value of the image, so that graying of the image is realized; then setting a binary global threshold, namely comparing the gray value of the image pixel point after graying with the threshold, wherein the set gray value smaller than the threshold is 0, otherwise, is 255, and completing the binarization processing;
and 4, step 4: and (4) identifying the opening and closing of the switch, carrying out straight line detection and identification on the processed equipment information image by applying Hough transform algorithm, and determining the state of the equipment switch information according to the position of the detected straight line.
Furthermore, the historical data information is data which is stored in the data management module and is used by the remote assistance module, the positioning module, the equipment state identification module and the intelligent inspection module in each acquisition.
Further, the 5G UPF on the MEC edge cloud provides a shunting function, according to user configuration, device state information in a certain range is transmitted to the power cloud terminal through the power 5G core network to be stored in data processing, the power cloud stores and backups all data in the edge cloud, and high-level AR rendering and AI training are performed.
Furthermore, the implementation of remote assistance is realized through a control module and a logic module, the logic module is used for inviting a user to request assistance, expert remote receiving and assistance and new technology information pushing to invite the user assistance in the remote assistance, and the control module is used for acquiring remote expert information, selecting a remote expert and receiving the remote expert in the remote assistance.
Furthermore, when remote expert consultation and training and remote assistance of new technical information pushing are carried out, the remote assistance information is transmitted to the data management module in the AR terminal to be backed up and data analysis processed, and if the same remote assistance requirements exist subsequently, the corresponding remote assistance information is directly called from the data management module to be pushed.
The invention has the beneficial effects that:
1. according to the AR technology used by the invention, the information image of the equipment in the transformer substation is acquired by means of the AR terminal equipment, and the acquired information image is uploaded to the deployed cloud terminal through 5G, so that the data is intelligently analyzed at the cloud terminal, the labor cost and the time cost can be effectively saved, and the working efficiency can be improved.
2. According to the invention, the 5G technology is utilized for data transmission, calculation and analysis of data information acquired by the AR terminal are carried out at the cloud, so that network delay can be effectively reduced, data storage capacity is improved, data calculation and analysis capacity is improved, and technical support is provided for intelligent routing inspection by utilizing the AR technology.
3. The invention utilizes AR technology to complete the collection and analysis of equipment state information, including historical data and state parameters of equipment in a transformer substation, and combines the positioning information of the equipment through data analysis, so that an intelligent routing inspection route can be automatically generated, the efficiency of operation and maintenance personnel in key routing inspection on the equipment is obviously improved, and the safe production level of electric power is further improved.
Description of the drawings:
fig. 1 is a schematic diagram of a network transmission structure according to the present invention.
Fig. 2 is a schematic structural diagram of an AR terminal according to the present invention.
The specific implementation mode is as follows:
example (b): referring to fig. 1 and 2, in the drawings, a 1-AR terminal, a 2-MEC edge cloud, a 3-power cloud, a 4-5G network, a 5-5G core network, an 11-remote assistance module, a 12-positioning module, a 13-equipment state identification module, a 14-data management module, and a 15-intelligent inspection module.
The intelligent inspection system comprises a data processing and transmitting end and an AR terminal, wherein the data processing and transmitting end comprises a 5G base station, an MEC edge cloud, an electric 5G core network and an electric cloud, information acquired by the AR terminal is transmitted to the MEC edge cloud through the 5G network, the intelligent AR system deployed in the MEC edge cloud is responsible for processing the information, then the processed result is transmitted to the AR terminal for information display, whether the data is transmitted to the electric cloud terminal through the electric 5G core network for data storage is selected according to the configuration of an electric power user, the AR terminal comprises a remote assistance module, a positioning module, an equipment state identification module, a data management module and an intelligent inspection module, the remote assistance module, the positioning module and the equipment state identification module transmit the acquired information to the data management module, and the data management module transmits the acquired data information and historical data information according to the data management module, the inspection plan is designated by combining with the power inspection operation regulation, and is issued to the intelligent inspection module, and the inspection plan is executed; according to the invention, the AR technology is used, the cloud is used for completing related data calculation, the 5G is used for completing data transmission, network delay can be reduced, data storage capacity and calculation and analysis capacity are provided, labor and time cost are effectively saved, and the working efficiency and the electric power safety production level are improved.
The present application will be described in detail below with reference to the drawings and examples.
As shown in figure 1, an intelligent inspection system and method for a transformer substation machine room based on AR technology comprises an AR terminal 1, a network transmission medium 5G network 4, an MEC (Mobile Edge computing) Edge cloud 2, a 5G core network 5 and an electric power cloud 3. in the embodiment, when the transformer substation machine room is inspected, an operation and maintenance inspector wears the AR terminal 1 on site, such as AR eyes and other equipment to collect equipment information of the transformer substation machine room, and is in butt joint with an intelligent AR system deployed on the MEC Edge cloud 2 through an access mode of the 5G network 4 and the like, data is transmitted to the intelligent AR system on the MEC Edge cloud 2 to be processed, artificial intelligent calculation and analysis are carried out to obtain a conclusion, the information is returned and displayed on the AR terminal 1 equipment after being processed by AR, the operation and maintenance inspector can obtain corresponding guidance according to a display picture, and realizing the functions of cooperation and assistance. The 5G UPF on the MEC edge cloud 2 also provides the shunting capability, and can process whether data is transmitted to the power cloud 3 according to user configuration. The central cloud of the intelligent AR system is deployed at the 5G core network 5 side constructed by the national network company, processes the data arriving after the shunting processing, and provides management for the edge cloud and the infrastructure, Paas and application thereof. The MEC edge cloud 2 adopts a traditional layered structure of LaaS, PaaS and SaaS, and the edge infrastructure layer adopts a lightweight structure, so that the calculation, storage and network acceleration capabilities of the AR intelligent system are provided. The power cloud 3 provides two functions of computing and management, and the computing function also adopts a three-layer architecture of cloud computing, and provides higher-level processing capability than that of an edge cloud so as to process higher-requirement computing capability which may not be met by the edge cloud due to a lightweight architecture. Meanwhile, the power cloud 3 can also provide a function of centralized storage and backup for data, and if the conditions such as failure or damage occur in the edge cloud processing process, the data stored in the power cloud 3 cannot be lost.
In this embodiment, fig. 1 specifically illustrates a scheme of the AR intelligent terminal for processing data at the cloud, and fig. 2 specifically illustrates how the AR terminal realizes intelligent inspection in the substation room. As shown in fig. 2, the AR terminal 1 mainly includes a remote assistance module 11, a positioning module 12, a device status recognition module 13, a data management module 14, and an intelligent inspection module 15. The remote assistance module 11 mainly realizes functions of remote consultation, remote training, new technology information pushing and the like through the AR terminal, and simultaneously backs up and uploads the content of remote assistance to the data management module. The remote assistance function module 11 is mainly realized by designing a control module and a logic module, inviting a user to request assistance by design in the logic module, receiving and assisting by experts remotely, pushing new technical information to invite the user to assist, and the like, and the control module mainly controls and realizes functions of obtaining remote expert information, selecting remote experts, receiving remote experts, and the like. When activities such as remote expert consultation, training and new technology information pushing are carried out, the information can be transmitted to the data management module 14, backup and data analysis processing are carried out on the information, if similar technical requirements exist in the future, key technology guidance can be directly pushed, and the defect processing efficiency and labor cost are improved. In this embodiment, the positioning module 12 mainly performs accurate positioning on the real-time position of the AR terminal, and assists in recording the position of the instrument and equipment that needs to be marked and paid attention in the polling process, so as to conveniently and timely give out the optimal polling route, for example, the equipment that has abnormality last time can perform important guidance in the next polling process, so as to avoid mistakes and omissions. For the equipment state information in the transformer substation machine room, the equipment state identification module 13 is used for identifying the equipment state information, the identified information is mainly divided into equipment information and state information, the equipment information mainly comprises equipment ledger basic information, equipment operation and maintenance record, equipment internal structure, technical parameters, test parameters, working principle and other equipment information, and the state information is realized through the state identification module. The state recognition module is mainly used for automatically recognizing information such as a pressing plate, an air switch, an indicator lamp, an equipment instrument and the temperature and humidity of the machine room in the transformer substation in batches when the intelligent inspection is carried out on the machine room of the transformer substation, early warning is carried out on abnormal information, the temperature and humidity of the equipment and the numerical value of the instrument can be recorded and stored, data recorded at each time are analyzed at the cloud end, a data change trend graph is drawn, and early warning is carried out on abnormal equipment data which possibly appear in advance. In this embodiment, the identification of the platen and the like is performed by the following steps:
step 1: the method comprises the steps of switch image acquisition, wherein a camera is used for acquiring image information of equipment such as an air switch and the like, the image is processed and then subjected to secondary processing by a decoding chip and a Cartesian coordinate sampling method, and according to a digital video standard, a signal is converted into a digital color difference signal and then the digital signal is processed;
step 2: switching image positioning, namely positioning the acquired image by adopting a scale-invariant feature transformation algorithm in the field of image registration in order to reduce interference factors and improve the image identification effect by considering the existence of possible interferents around the acquired image;
and step 3: the method comprises the steps that a switch image is subjected to graying and binarization processing, in order to improve the calculation efficiency, a 24-bit color image is converted into a gray image, meanwhile, for a YUV format picture, a method of extracting a Y component and neglecting a UV component is adopted, and a brightness value is used as a gray value of the image, so that graying of the image is realized; then setting a binary global threshold, namely comparing the gray value of the image pixel point after graying with the threshold, wherein the set gray value smaller than the threshold is 0, otherwise, is 255, and completing the binarization processing;
and 4, step 4: and (4) identifying the opening and closing of the switch, carrying out straight line detection and identification on the processed equipment information image by applying Hough transform algorithm, and determining the state of the equipment switch information according to the position of the detected straight line.
The scale invariant feature algorithm is an accurate image matching algorithm which generates a scale space by an image, then searches extreme points and key points in the image, calculates the direction and the module value of the key points, and then matches with a feature vector of the acquired image.
The hough transform is a method for connecting edge pixels to form a region closed boundary according to the global characteristics of an image. The method can connect discontinuous pixel edge points to achieve the aim of directly detecting the known shape.
In this embodiment, in order to make the data collected at each time be efficiently utilized, the remote assistance module 11 and the positioning module 12 are used, the data collected and used at each time by the equipment state identification module 13 and the intelligent inspection module 15 are returned to the data management module 14 again, the data are subjected to screening analysis and are uploaded to the cloud through the 5G network, historical data of equipment instruments at all times and the number of operation and maintenance personnel are combined at the cloud, an inspection route of a machine room is calculated and generated, and then the inspection route is issued to the data management module 14, the inspection real-time route is issued to the intelligent inspection module 15 by the data management module 14, the operation and maintenance personnel are guided to inspect the machine room of the transformer substation, and efficient intelligent inspection is realized. Meanwhile, data recorded in each inspection is uploaded to the cloud end for backup and recording, and the data are used as historical data to provide data support for making an intelligent inspection route and a scheme in next inspection.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention in any way, and all simple modifications, equivalent variations and modifications made to the above embodiment according to the technical spirit of the present invention still fall within the scope of the technical solution of the present invention.
Claims (10)
1. The utility model provides a transformer substation machine room's intelligence system of patrolling and examining based on AR technique, includes data processing transmission end and AR terminal, characterized by: the data processing and transmitting end is wirelessly and bidirectionally communicated with the AR terminal, the AR terminal comprises a remote assistance module, a positioning module, an equipment state identification module, a data management module and an intelligent inspection module, the remote assistance module, the positioning module and the equipment state identification module are connected with the data management module, the data management module is connected with the intelligent inspection module, the data processing and transmitting end comprises a 5G base station, an MEC edge cloud, an electric power 5G core network and an electric power cloud, the AR terminal is communicated with the MEC edge cloud through the transfer of the 5G base station, and the MEC edge cloud is communicated with the electric power cloud through the electric power 5G core network; the remote assistance module comprises remote consultation, remote training and new technology information pushing sub-modules, and backups and uploads the content for remote assistance to the data management module; the equipment state identification module comprises equipment information such as equipment ledger information, equipment operation and maintenance records, an equipment internal structure, technical parameters, a working principle and the like, and further comprises a state identification module.
2. The intelligent inspection system for substation rooms based on AR technology according to claim 1, characterized in that: the MEC edge cloud adopts a traditional layered structure of LaaS, PaaS and SaaS, and an edge infrastructure layer adopts a lightweight structure.
3. An intelligent inspection method of a transformer substation machine room based on AR technology is characterized by comprising the following steps: acquiring equipment state information of a substation machine room through an equipment state identification module in an AR terminal, and butting the equipment state information with an intelligent AR system deployed on an MEC edge cloud through a 5G network;
step two, the intelligent AR system appoints a routing inspection plan to process according to the received equipment state information and historical data information and in combination with the power routing inspection operation regulation, returns the processing result to a data management module in the AR terminal, and sends a routing inspection real-time route to the intelligent routing inspection module by the data management module to be displayed;
thirdly, the personnel obtain corresponding guidance according to the display picture and execute the routing inspection plan;
in the inspection, remote assistance is obtained through the AR terminal through remote consultation, remote training and new technology information pushing, and meanwhile, the content for remote assistance is backed up in the internal data management module;
and fifthly, a positioning module in the AR terminal accurately positions the position of the AR terminal in real time, assists in recording the positions of the instruments and equipment needing important marking and attention in the inspection process, gives an optimal inspection route in time, and updates an inspection plan.
4. The intelligent inspection method for the transformer substation machine room based on the AR technology, as claimed in claim 3, is characterized in that: the equipment state information comprises equipment information and state information, the equipment information comprises equipment standing book basic information, equipment operation and maintenance records, an equipment internal structure, technical parameters, test parameters and a working principle, and the state information is realized through a state identification module.
5. The intelligent inspection method for the transformer substation machine room based on the AR technology, as claimed in claim 4, is characterized in that: the state recognition module is used for automatically recognizing the pressing plate, the air switch, the indicator lamp, the equipment instrument and the temperature and humidity information of the machine room in the transformer substation in batches when the transformer substation machine room is subjected to inspection, early warning is carried out on abnormal information, the temperature and humidity of the equipment and the numerical value of the instrument can be recorded and stored, the data recorded at each time are analyzed at the cloud end, a data change trend graph is drawn, and early warning is carried out on the abnormal equipment data which possibly appear in advance.
6. The intelligent inspection method for the transformer substation machine room based on the AR technology, as claimed in claim 5, is characterized in that: the state information is acquired according to the following steps:
step 1: the method comprises the steps of switch image acquisition, wherein a camera is used for acquiring image information of equipment such as an air switch and the like, the image is processed and then subjected to secondary processing by a decoding chip and a Cartesian coordinate sampling method, and according to a digital video standard, a signal is converted into a digital color difference signal and then the digital signal is processed;
step 2: switching image positioning, namely positioning the acquired image by adopting a scale-invariant feature transformation algorithm in the field of image registration in order to reduce interference factors and improve the image identification effect by considering the existence of possible interferents around the acquired image;
and step 3: the method comprises the steps that a switch image is subjected to graying and binarization processing, in order to improve the calculation efficiency, a 24-bit color image is converted into a gray image, meanwhile, for a YUV format picture, a method of extracting a Y component and neglecting a UV component is adopted, and a brightness value is used as a gray value of the image, so that graying of the image is realized; then setting a binary global threshold, namely comparing the gray value of the image pixel point after graying with the threshold, wherein the set gray value smaller than the threshold is 0, otherwise, is 255, and completing the binarization processing;
and 4, step 4: and (4) identifying the opening and closing of the switch, carrying out straight line detection and identification on the processed equipment information image by applying Hough transform algorithm, and determining the state of the equipment switch information according to the position of the detected straight line.
7. The intelligent inspection method for the transformer substation machine room based on the AR technology, as claimed in claim 5, is characterized in that: the historical data information is data which is stored in the data management module and is used by the remote assistance module, the positioning module, the equipment state identification module and the intelligent inspection module in each acquisition.
8. The intelligent inspection method for the transformer substation machine room based on the AR technology, as claimed in claim 3, is characterized in that: the 5G UPF on the MEC edge cloud provides a shunting function, according to user configuration, equipment state information in a certain range is transmitted to the power cloud terminal through the power 5G core network to be stored in a data processing mode, the power cloud stores and backups all data in the edge cloud, and high-level AR rendering and AI training are carried out.
9. The intelligent inspection method for the transformer substation machine room based on the AR technology, as claimed in claim 3, is characterized in that: the realization of remote assistance is realized through a control module and a logic module, the logic module is used for inviting a user to request assistance, expert remote receiving and assistance and new technical information pushing to invite the user assistance in the remote assistance, and the control module is used for acquiring remote expert information, selecting a remote expert and receiving the remote expert in the remote assistance.
10. The intelligent inspection method for the transformer substation machine room based on the AR technology, as claimed in claim 3, is characterized in that: when remote expert consultation and training and new technical information pushing remote assistance are carried out, the remote assistance information is transmitted to a data management module in the AR terminal to carry out backup and data analysis processing on the remote assistance information, and if the same remote assistance requirements exist subsequently, corresponding remote assistance information is directly called from the data management module to be pushed.
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Cited By (6)
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| CN113347392A (en) * | 2021-05-31 | 2021-09-03 | 高新兴科技集团股份有限公司 | AR-based power distribution room monitoring data visualization display method, system and medium |
| CN113538370A (en) * | 2021-07-14 | 2021-10-22 | 宁波旗芯电子科技有限公司 | Power grid inspection method and device, computer equipment and storage medium |
| CN113589837A (en) * | 2021-05-18 | 2021-11-02 | 国网辽宁省电力有限公司朝阳供电公司 | Electric power real-time inspection method based on edge cloud |
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