CN110807460B - A kind of substation intelligent patrol system based on image recognition and its application method - Google Patents
A kind of substation intelligent patrol system based on image recognition and its application method Download PDFInfo
- Publication number
- CN110807460B CN110807460B CN201911094701.5A CN201911094701A CN110807460B CN 110807460 B CN110807460 B CN 110807460B CN 201911094701 A CN201911094701 A CN 201911094701A CN 110807460 B CN110807460 B CN 110807460B
- Authority
- CN
- China
- Prior art keywords
- secondary equipment
- image recognition
- state
- maintenance
- intelligent
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/62—Text, e.g. of license plates, overlay texts or captions on TV images
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Economics (AREA)
- Human Resources & Organizations (AREA)
- Theoretical Computer Science (AREA)
- Multimedia (AREA)
- Health & Medical Sciences (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Strategic Management (AREA)
- Marketing (AREA)
- Signal Processing (AREA)
- Primary Health Care (AREA)
- General Health & Medical Sciences (AREA)
- Water Supply & Treatment (AREA)
- Public Health (AREA)
- Entrepreneurship & Innovation (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
本发明公开了一种基于图像识别的变电站智能巡视系统及其应用方法，变电站智能巡视系统包括在线监测子站、在线监测主站、智能运维主站、图像识别服务器及移动运维终端，在线监测子站、在线监测主站、智能运维主站之间依次相连，智能运维主站、图像识别服务器之间相连，智能运维主站、移动运维终端之间通过网络相连，应用方法包括智能运维主站根据移动运维终端采集的图像调用图像识别服务器进行图像识别并结合二次设备的状态监测数据生成巡视结果并输出到移动运维终端。本发明能够实现变电站的自动巡视，可有效提高变电站巡视的效率和正确率，减少了巡视人员的巡视工作量，提高了变电站智能巡视水平，从而有效保证变电站的安全稳定的运行。
The invention discloses a substation intelligent inspection system based on image recognition and an application method thereof. The substation intelligent inspection system includes an online monitoring sub-station, an online monitoring main station, an intelligent operation and maintenance main station, an image recognition server and a mobile operation and maintenance terminal. The monitoring sub-station, the online monitoring master station, and the intelligent operation and maintenance master station are connected in sequence, the intelligent operation and maintenance master station and the image recognition server are connected, and the intelligent operation and maintenance master station and the mobile operation and maintenance terminal are connected through a network. Application method Including the intelligent operation and maintenance main station calling the image recognition server for image recognition according to the image collected by the mobile operation and maintenance terminal, and combined with the state monitoring data of the secondary equipment to generate the inspection result and output it to the mobile operation and maintenance terminal. The invention can realize the automatic inspection of the substation, can effectively improve the efficiency and accuracy of the inspection of the substation, reduce the inspection workload of the inspectors, and improve the intelligent inspection level of the substation, thereby effectively ensuring the safe and stable operation of the substation.
Description
Technical Field
The invention relates to the technical field of operation and maintenance of power systems, in particular to an intelligent substation inspection system based on image recognition and an application method thereof.
Background
The inspection of the transformer substation is important work content in the daily operation and maintenance process of the transformer substation. The inspection content of the transformer substation is generally to check whether the equipment state in the transformer substation meets the current operation state of the transformer substation, and secondary equipment which does not meet the current operation state of the transformer substation needs to be inspected in place in time and processed correspondingly. At present, the patrol task of the transformer substation is generally manually carried out, the patrol of the state of secondary equipment in the whole substation is carried out manually at regular time, and the hidden defect of the transformer substation is found in time. However, the secondary equipment state of the transformer substation is manually patrolled, so that the patrolling time is long, the patrolling result is difficult to ensure by manually judging the correctness of the patrolling result, the patrolling efficiency is difficult to ensure and the like. In order to improve the patrol efficiency and patrol correctness of the transformer substation, a new operation and maintenance means is urgently needed to effectively solve the problem of patrol of the transformer substation, the work burden of operation and maintenance personnel is reduced, the patrol quality of the transformer substation is improved, the patrol automation degree of the transformer substation is improved, and therefore the safe and stable operation of the transformer substation is effectively guaranteed.
Disclosure of Invention
The technical problems to be solved by the invention are as follows: aiming at the problems in the prior art, the invention provides the intelligent substation patrol system based on the image recognition and the application method thereof.
In order to solve the technical problems, the invention adopts the technical scheme that:
the utility model provides a transformer substation intelligence system of patrolling based on image identification, includes online monitoring sub-station, online monitoring main website, intelligence fortune dimension main website, image recognition server and removes fortune dimension terminal, link to each other in proper order through the network between online monitoring sub-station, online monitoring main website, the intelligence fortune dimension main website, the image recognition server links to each other through the network between the intelligence fortune dimension main website, remove fortune dimension terminal and link to each other through the network between, the input of online monitoring sub-station links to each other with the secondary equipment who is monitored and sends the state monitoring data of the secondary equipment that constitutes with the secondary equipment state of gathering, warning information for online monitoring main website, the online monitoring main website gathers the state monitoring data of the secondary equipment of each online monitoring sub-station and then pushes to intelligence fortune dimension main website, intelligence fortune dimension main website is used for calling the image recognition server according to the image that removes fortune dimension terminal collection and carries out image identification and combines secondary equipment The state monitoring data generate a patrol result and output the patrol result to the mobile operation and maintenance terminal.
Preferably, the system further comprises an information safety area with three physical spaces separated, namely an information safety area I, an information safety area II and an information safety area III, the online monitoring substation and the monitored secondary equipment are located in the information safety area I, the online monitoring main station is located in the information safety area II, and the intelligent operation and maintenance main station, the image recognition server and the mobile operation and maintenance terminal are located in the information safety area III.
Preferably, the network among the online monitoring substation, the online monitoring main station and the intelligent operation and maintenance main station is in communication connection by adopting an MMS communication protocol, and the input end of the online monitoring substation is in communication connection with the monitored secondary equipment by adopting the MMS communication protocol.
Preferably, the intelligent operation and maintenance master station and the mobile operation and maintenance terminal are connected through a power wireless private network.
Preferably, the intelligent operation and maintenance master station and the image recognition server communicate with each other by adopting a private protocol.
In addition, the invention also provides an application method of the transformer substation intelligent patrol system based on the image recognition, which comprises the following implementation steps:
1) selecting target secondary equipment, wherein an intelligent operation and maintenance main station collects state monitoring data of the target secondary equipment through an online monitoring substation and an online monitoring main station, and automatically selects a corresponding secondary equipment state library according to the current operation state of the secondary equipment, wherein the secondary equipment state library comprises the current state of the target secondary equipment; the mobile operation and maintenance terminal acquires a field inspection image for the target secondary equipment by using a camera of the mobile operation and maintenance terminal and transmits the inspection image to the intelligent operation and maintenance master station through a network;
2) the intelligent operation and maintenance master station sends the patrol image to an image identification server;
3) the image recognition server performs image recognition on the patrol image to obtain an image recognition object state for recognizing the secondary equipment, and returns an image recognition result to the intelligent operation and maintenance master station;
4) the intelligent operation and maintenance master station determines the image recognition object state of the target secondary equipment according to the image recognition object state of the recognition secondary equipment obtained by image recognition, and checks the state information of the image recognition object state of the target secondary equipment and a secondary equipment state library corresponding to the image recognition object state, if the image recognition object state is consistent with the state of the secondary equipment state library, the automatic inspection result is judged to be normal, otherwise, the automatic inspection result is judged to be abnormal;
5) the intelligent operation and maintenance master station pushes the automatic inspection result to the mobile operation and maintenance terminal, and field personnel perform next secondary equipment inspection or manual confirmation of the current secondary equipment inspection result according to the automatic inspection result.
Preferably, the step 1) is preceded by a step of establishing a secondary device state library, and the step of establishing the secondary device state library specifically includes one or a combination of the following two modes: aiming at each state of the target secondary equipment, a secondary equipment state library of the target secondary equipment in the state is obtained by manually establishing the secondary equipment and confirming the state of the secondary equipment; the method II comprises the following steps: and acquiring an image of the on-site secondary equipment by on-site personnel aiming at each state of the target secondary equipment, and automatically inputting the states of the secondary equipment and the secondary equipment by image recognition to obtain a secondary equipment state library of the target secondary equipment in the state.
Preferably, the step of determining the image recognition object state of the target secondary device according to the image recognition object state of the recognition secondary device obtained by image recognition in step 4) includes:
4.1) acquiring an object rectangular frame for identifying the secondary equipment and a rectangular frame for identifying characters in the image identification result;
4.2) matching and corresponding the rectangular object frame and the rectangular character frame for identifying the secondary equipment to obtain the rectangular object character for identifying the secondary equipment;
and 4.3) matching each recognition secondary device and the object characters thereof with the target secondary device to obtain an image recognition result formed by the object rectangular frame and the object characters of the target secondary device.
Preferably, the detailed steps of step 4.2) include: and traversing the rectangular frame of the identification character around the rectangular frame according to the coordinates of the rectangular frame of the object of the identification secondary equipment, and judging that the identification character is the object character for identifying the identification secondary equipment from the rectangular frame of the identification character closest to the rectangular frame of the object of the identification secondary equipment.
Preferably, the detailed steps of step 4.3) include: and matching each recognition secondary device and the object characters thereof with the target secondary device, thereby obtaining an image recognition result formed by the object rectangular frame and the object characters of the target secondary device.
Compared with the prior art, the invention has the following advantages: the input end of the on-line monitoring substation is connected with the secondary equipment to be monitored so as to send the state monitoring data of the secondary equipment, which is composed of the state of the secondary equipment and alarm information, to the on-line monitoring main station, the on-line monitoring main station collects the state monitoring data of the secondary equipment of each on-line monitoring substation and then pushes the collected state monitoring data to the intelligent operation and maintenance main station, and the intelligent operation and maintenance main station is used for calling an image recognition server according to an image collected by a mobile operation and maintenance terminal to perform image recognition and generating an inspection result by combining the state monitoring data of the secondary equipment and outputting the inspection result to the mobile operation and maintenance terminal.
Drawings
Fig. 1 is a schematic diagram of a topology structure of a system according to an embodiment of the present invention.
Fig. 2 is a schematic diagram of an interaction principle of the system according to the embodiment of the present invention.
Fig. 3 is a schematic diagram of functional modules of the intelligent operation and maintenance master station in the system according to the embodiment of the present invention.
FIG. 4 is a schematic diagram of a basic flow of a method according to an embodiment of the present invention.
Detailed Description
The following describes the transformer substation intelligent patrol system based on image recognition and the application method thereof in further detail with reference to specific embodiments and the accompanying drawings.
As shown in fig. 1 and fig. 2, the transformer substation intelligent patrol system based on image recognition in this embodiment includes an online monitoring substation 1, an online monitoring master station 2, an intelligent operation and maintenance master station 3, an image recognition server 4 and a mobile operation and maintenance terminal 5, where the online monitoring substation 1, the online monitoring master station 2 and the intelligent operation and maintenance master station 3 are sequentially connected through a network, the intelligent operation and maintenance master station 3 and the image recognition server 4 are connected through a network, the intelligent operation and maintenance master station 3 and the mobile operation and maintenance terminal 5 are connected through a network, an input end of the online monitoring substation 1 is connected with a monitored secondary device to send state monitoring data of the secondary device composed of collected secondary device state and alarm information to the online monitoring master station 2, the online monitoring master station 2 summarizes the state monitoring data of the secondary device of each online monitoring substation 1 and then pushes the summarized state monitoring data to the intelligent operation and maintenance master station 3, the intelligent operation and maintenance master station 3 is used for calling the image recognition server 4 to perform image recognition according to the image collected by the mobile operation and maintenance terminal 5, generating a patrol result by combining the state monitoring data of the secondary equipment, and outputting the patrol result to the mobile operation and maintenance terminal 5.
As shown in fig. 1, the present embodiment further includes an information security I area, an information security II area, and an information security III area, where the three physical spaces are isolated to form an information security region, the online monitoring substation 1 and the monitored secondary device thereof are located in the information security I area, the online monitoring master station 2 is located in the information security II area, and the intelligent operation and maintenance master station 3, the image recognition server 4, and the mobile operation and maintenance terminal 5 are located in the information security III area.
In this embodiment, the network among the online monitoring substation 1, the online monitoring main station 2, and the intelligent operation and maintenance main station 3 is in communication connection by using an MMS communication protocol, and the input end of the online monitoring substation 1 is in communication connection with the monitored secondary device by using the MMS communication protocol, so that the online monitoring substation is compatible with various monitored secondary devices of the existing transformer substation.
In this embodiment, the intelligent operation and maintenance master station 3 and the mobile operation and maintenance terminal 5 are connected through a power wireless private network, the mobile operation and maintenance terminal 5 adopts the power wireless private network to send the acquired data to the intelligent operation and maintenance master station 3, and the intelligent operation and maintenance master station 3 adopts the power wireless private network to send the inspection result to the mobile operation and maintenance terminal 5.
In this embodiment, the intelligent operation and maintenance master station 3 and the image recognition server 4 communicate with each other by using a private protocol, the image recognition server 4 can be protected by using the above method, and the private protocol can be implemented by using a specific encryption method for communication data.
In this embodiment, the online monitoring substation 1 mainly realizes communication with the secondary equipment in the information security I area, online collects the state of the secondary equipment in real time, and sends the collected state of the secondary equipment and alarm information to the online monitoring master station in the information security II area;
in this embodiment, the online monitoring master station 2 mainly integrates the online monitoring substation state monitoring data in the information security I area, and pushes the online state monitoring data to the intelligent operation and maintenance master station in the information security III area;
referring to fig. 3, the intelligent operation and maintenance master station 3 in this embodiment should include the following functional modules:
the secondary equipment state base establishing module is used for realizing the establishment of the patrol secondary equipment state, and is a basis for automatically judging the patrol result;
the secondary equipment identification object and identification character matching module is used for realizing the quick matching of the secondary equipment identification and identification characters and establishing a complete secondary equipment identification object;
the image identification object and actual secondary equipment matching module is used for realizing the matching corresponding relation between the secondary equipment identification object and the object to be patrolled;
the inspection result analysis module is used for automatically judging and outputting the inspection result of the secondary equipment according to the established secondary equipment state library and the actual inspection state of the secondary equipment;
and the communication module is used for realizing communication service between the intelligent operation and maintenance master station and the online monitoring master station, the image recognition server and the mobile operation and maintenance terminal.
Wherein, the secondary equipment state base establishing module, the secondary equipment object and character identifying matching module, the image identifying object and actual secondary equipment matching module and the inspection result analyzing module are program modules, the secondary equipment state base establishing module is used for establishing a secondary equipment state base, the secondary equipment object and character identifying matching module is used for executing the step 4.2), the image identifying object and actual secondary equipment matching module is used for executing the step 4.3), and the secondary equipment object and character identifying matching method comprises the following steps: and matching and corresponding the secondary equipment object rectangular frame with the identification character rectangular frame, traversing the identification character rectangular frame around the secondary equipment object rectangular frame according to the coordinates of the identification character rectangular frame, and judging that the identification character is the identification secondary equipment object character when the character rectangular frame closest to the identification secondary equipment object rectangular frame is the identification character. The image recognition object and actual secondary equipment matching method comprises the following steps: and traversing and matching the secondary equipment object to be patrolled by taking the identification characters as the unique identification for identifying the secondary equipment object. The patrol result analysis method of the patrol result analysis module comprises the following steps: according to the running state of each secondary device of the transformer substation pushed by the online monitoring main station, a secondary device state library which is currently applicable to the transformer substation is automatically selected, state information checking is carried out on the basis of the secondary device state library and actually acquired secondary device images, the inspection result of the secondary devices with consistent state information is normal, and the inspection result of the secondary devices with inconsistent state information is abnormal. The communication module is a hardware module and is used for realizing data communication with the online monitoring master station 2, the image recognition server 4 and the mobile operation and maintenance terminal 5 respectively, and the communication module specifically comprises a plurality of communication interface modules. The intelligent operation and maintenance master station 3 pushes the automatic inspection result to the mobile operation and maintenance terminal 5 through the communication interface module, and the field personnel perform next secondary equipment inspection or manually confirm the current secondary equipment inspection result according to the inspection result of the intelligent operation and maintenance master station 3.
In this embodiment, the image recognition server 4 is provided with a pattern recognition engine having a function of classifying secondary device images and their corresponding secondary device states, and can perform image recognition based on the patrol image to obtain an image recognition object state for recognizing the secondary device. The pattern recognition engine can adopt the existing machine learning classification model according to the requirement, and improves the pattern recognition precision of the machine learning classification model through pre-training.
In this embodiment, the image recognition server 4 should include the following functional modules:
the secondary equipment identification module is integrated with the pattern identification engine and is used for realizing identification of secondary equipment of the transformer substation and identification of the state of the secondary equipment;
the character recognition module is used for recognizing the associated characters of the secondary equipment of the transformer substation;
and the communication module is used for realizing the communication between the image identification server and the intelligent operation and maintenance master station and sending the image identification result to the intelligent operation and maintenance master station for patrol service processing.
In this embodiment, the mobile operation and maintenance terminal 5 should include the following functional modules:
the image acquisition module is used for acquiring images of the actual running state of the secondary equipment of the transformer substation;
the communication module is used for realizing the communication between the mobile operation and maintenance terminal and the intelligent operation and maintenance master station and sending the image of the actual operation state of the secondary equipment to the intelligent operation and maintenance master station for intelligent patrol service processing;
and the inspection result output module is used for realizing automatic inspection result display of the mobile operation and maintenance terminal and displaying the service processing result of the intelligent operation and maintenance master station in the mobile operation and maintenance terminal for operation and maintenance personnel to check.
The on-line monitoring substation and the on-line monitoring main station are part of an intelligent operation and inspection system of the transformer substation, and the on-site secondary equipment state is acquired in real time and on-line as the basis of operation, maintenance and inspection operation.
As shown in fig. 4, this embodiment further provides an application method of the foregoing transformer substation intelligent patrol system based on image recognition, and the implementation steps include:
1) selecting target secondary equipment, wherein the intelligent operation and maintenance main station 3 collects state monitoring data of the target secondary equipment through the online monitoring substation 1 and the online monitoring main station 2, and automatically selects a corresponding secondary equipment state library according to the current operation state of the secondary equipment, wherein the secondary equipment state library comprises the current state of the target secondary equipment; the mobile operation and maintenance terminal 5 acquires a field patrol image for the target secondary equipment by using a camera provided by the mobile operation and maintenance terminal, and transmits the patrol image to the intelligent operation and maintenance master station 3 through a network;
2) the intelligent operation and maintenance master station 3 sends the patrol image to the image identification server 4;
3) the image recognition server 4 performs image recognition on the patrol image to obtain an image recognition object state for recognizing the secondary equipment, and returns an image recognition result to the intelligent operation and maintenance master station 3;
4) the intelligent operation and maintenance master station 3 determines the image recognition object state of the target secondary equipment according to the image recognition object state of the recognition secondary equipment obtained by image recognition, checks the image recognition object state of the target secondary equipment and the state information of the secondary equipment state library corresponding to the image recognition object state, judges that the automatic inspection result is normal if the image recognition object state is consistent with the state of the secondary equipment state library, and judges that the automatic inspection result is abnormal if the image recognition object state is not consistent with the state of the secondary equipment state library;
5) the intelligent operation and maintenance master station 3 pushes the automatic inspection result to the mobile operation and maintenance terminal 5, and the field personnel performs the next secondary equipment inspection or the current secondary equipment inspection result manual confirmation according to the automatic inspection result.
Referring to fig. 4, before step 1) in this embodiment, a step of establishing a secondary device state library is further included, and establishing the secondary device state library specifically includes one or a combination of two ways, namely: aiming at each state of the target secondary equipment, a secondary equipment state library of the target secondary equipment in the state is obtained by manually establishing the secondary equipment and confirming the state of the secondary equipment; the method II comprises the following steps: and acquiring an image of the on-site secondary equipment by on-site personnel aiming at each state of the target secondary equipment, and automatically inputting the states of the secondary equipment and the secondary equipment by image recognition to obtain a secondary equipment state library of the target secondary equipment in the state. Through one or the combination of the first mode and the second mode, the secondary equipment state library can be edited and stored on the intelligent operation and maintenance main station 3 and is used as a basis for the analysis of the inspection result.
As an optional implementation manner, the secondary device types recorded in the secondary device status library in this embodiment include: air switch, pressure plate, device indicator light, etc.
In the step 1), the online monitoring substation 1 is connected to the online monitoring main station 2, and the online monitoring main station 2 is connected to the intelligent operation and maintenance main station 3, so that the intelligent operation and maintenance main station 3 is ensured to acquire the operation state of the secondary equipment in real time, and the intelligent operation and maintenance main station 3 automatically selects a secondary equipment state library according to the current operation state of the secondary equipment.
In this embodiment, the step of determining the image recognition object state of the target secondary device according to the image recognition object state of the recognition secondary device obtained by image recognition in step 4) includes:
4.1) acquiring an object rectangular frame for identifying the secondary equipment and a rectangular frame for identifying characters in the image identification result;
4.2) matching and corresponding the rectangular object frame and the rectangular character frame for identifying the secondary equipment to obtain the rectangular object character for identifying the secondary equipment;
and 4.3) matching each recognition secondary device and the object characters thereof with the target secondary device to obtain an image recognition result formed by the object rectangular frame and the object characters of the target secondary device.
In this embodiment, the detailed steps of step 4.2) include: and traversing the rectangular frame of the identification character around the rectangular frame according to the coordinates of the rectangular frame of the object of the identification secondary equipment, and judging that the identification character is the object character for identifying the identification secondary equipment from the rectangular frame of the identification character closest to the rectangular frame of the object of the identification secondary equipment.
In this embodiment, the detailed steps of step 4.3) include: and matching each recognition secondary device and the object characters thereof with the target secondary device, thereby obtaining an image recognition result formed by the object rectangular frame and the object characters of the target secondary device.
In summary, in the application method of the transformer substation intelligent patrol system based on image recognition in this embodiment, the secondary device state library is established on the intelligent operation and maintenance master station 3, the intelligent operation and maintenance master station 3 acquires the operation state of the secondary device on line through the online monitoring substation 1 and the online monitoring master station 2, the current patrol secondary device state library is automatically selected according to the online operation state of the secondary device, and the field patrol personnel adopt the mobile operation and maintenance terminal 5 to acquire the field secondary device state image and upload the secondary device image to the intelligent operation and maintenance master station 3. The intelligent operation and maintenance master station 3 sends the secondary equipment image to the image recognition server 4, the image recognition server 4 returns the image recognition result to the intelligent operation and maintenance master station 3, the intelligent operation and maintenance master station 3 automatically judges the inspection result by combining the inspection secondary equipment state library and the image recognition result, and the inspection result is pushed to the mobile operation and maintenance terminal 5, so that the inspection efficiency and quality can be effectively improved.
The above description is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may occur to those skilled in the art without departing from the principle of the invention, and are considered to be within the scope of the invention.
Claims (5)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911094701.5A CN110807460B (en) | 2019-11-11 | 2019-11-11 | A kind of substation intelligent patrol system based on image recognition and its application method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911094701.5A CN110807460B (en) | 2019-11-11 | 2019-11-11 | A kind of substation intelligent patrol system based on image recognition and its application method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110807460A CN110807460A (en) | 2020-02-18 |
| CN110807460B true CN110807460B (en) | 2022-04-29 |
Family
ID=69501862
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911094701.5A Active CN110807460B (en) | 2019-11-11 | 2019-11-11 | A kind of substation intelligent patrol system based on image recognition and its application method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110807460B (en) |
Families Citing this family (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111787275A (en) * | 2020-06-11 | 2020-10-16 | 重庆东电通信技术有限公司 | Power transmission and distribution equipment operation and maintenance method based on artificial intelligence |
| CN112381804B (en) * | 2020-11-17 | 2022-07-29 | 国网天津市电力公司 | Visual perception protection function and loop pressing plate state identification method |
| CN112561870A (en) * | 2020-12-10 | 2021-03-26 | 广东电网有限责任公司 | System and method for identifying panel inspection of distribution network automation terminal |
| CN113129285B (en) * | 2021-04-20 | 2022-11-25 | 国网山东省电力公司安丘市供电公司 | Method and system for verifying regional protection pressing plate |
| CN113408087B (en) * | 2021-05-25 | 2023-03-24 | 国网湖北省电力有限公司检修公司 | Substation inspection method based on cloud side system and video intelligent analysis |
| CN114069844B (en) * | 2021-10-27 | 2023-08-04 | 国网冀北电力有限公司张家口供电公司 | Substation secondary equipment state image recognition method based on deep learning |
| CN115313621A (en) * | 2022-05-26 | 2022-11-08 | 国家电网有限公司 | Automatic operation and maintenance system and method for intelligent substation based on grey theory |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103825364A (en) * | 2014-03-04 | 2014-05-28 | 国家电网公司 | Main/substation information interaction method applied to power system state estimation |
| CN103824340A (en) * | 2014-03-07 | 2014-05-28 | 山东鲁能智能技术有限公司 | Intelligent inspection system and inspection method for electric transmission line by unmanned aerial vehicle |
| CN105515198A (en) * | 2016-01-08 | 2016-04-20 | 国网浙江省电力公司 | Remote intelligent inspection system and method |
| CN105722144A (en) * | 2016-01-28 | 2016-06-29 | 中国电力科学研究院 | Communication method and system of power transmission line online monitoring data |
| CN109391032A (en) * | 2018-10-19 | 2019-02-26 | 国网黑龙江省电力有限公司电力科学研究院 | State Detection Method of Secondary System Based on Image Recognition |
| CN109635145A (en) * | 2018-11-23 | 2019-04-16 | 积成电子股份有限公司 | Power equipment inspection information identifying method based on Multidimensional Comprehensive information |
| CN110365115A (en) * | 2019-08-08 | 2019-10-22 | 国网湖南省电力有限公司 | Integrated Communication and Monitoring Method for Substation Secondary System |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106253487B (en) * | 2016-09-29 | 2019-02-05 | 北京东土科技股份有限公司 | Intelligent power server applied to intelligent substation protection control system |
-
2019
- 2019-11-11 CN CN201911094701.5A patent/CN110807460B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103825364A (en) * | 2014-03-04 | 2014-05-28 | 国家电网公司 | Main/substation information interaction method applied to power system state estimation |
| CN103824340A (en) * | 2014-03-07 | 2014-05-28 | 山东鲁能智能技术有限公司 | Intelligent inspection system and inspection method for electric transmission line by unmanned aerial vehicle |
| CN105515198A (en) * | 2016-01-08 | 2016-04-20 | 国网浙江省电力公司 | Remote intelligent inspection system and method |
| CN105722144A (en) * | 2016-01-28 | 2016-06-29 | 中国电力科学研究院 | Communication method and system of power transmission line online monitoring data |
| CN109391032A (en) * | 2018-10-19 | 2019-02-26 | 国网黑龙江省电力有限公司电力科学研究院 | State Detection Method of Secondary System Based on Image Recognition |
| CN109635145A (en) * | 2018-11-23 | 2019-04-16 | 积成电子股份有限公司 | Power equipment inspection information identifying method based on Multidimensional Comprehensive information |
| CN110365115A (en) * | 2019-08-08 | 2019-10-22 | 国网湖南省电力有限公司 | Integrated Communication and Monitoring Method for Substation Secondary System |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110807460A (en) | 2020-02-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110807460B (en) | A kind of substation intelligent patrol system based on image recognition and its application method | |
| CN112187861B (en) | Method and system for transformer substation inspection | |
| CN111928888A (en) | Intelligent monitoring and analyzing method and system for water pollution | |
| CN103246265B (en) | Electromechanical equipment detection maintaining method | |
| CN107994539A (en) | A kind of distribution line failure detecting system based on Cloud Server | |
| CN110535238A (en) | An intelligent monitoring system and method for substation equipment | |
| CN112564952A (en) | Intelligent inspection system for distribution network line | |
| CN111600386A (en) | A real-time monitoring system and method for GIS equipment knife switch opening and closing status confirmation | |
| CN107730647A (en) | A kind of smart mobile phone cruising inspection system and its method for inspecting based on SCADA | |
| CN111062504A (en) | A smart distribution station operation and maintenance system and method based on AR technology | |
| CN115131505A (en) | Multi-system fusion's of transformer substation panorama perception system | |
| CN110992512A (en) | An online monitoring system and method for transmission line inspection availability rate based on electronic tags | |
| CN113054748A (en) | Pressing plate state identification system and method based on image identification in moving operation and maintenance | |
| CN113821242A (en) | Intelligent firmware matching method and system | |
| CN110430078B (en) | Method and system for type identification, configuration and function online of power automation terminal | |
| CN106131501A (en) | Electric line foreign matter and disappearance intelligent video on-line monitoring system | |
| CN118884292A (en) | A method for finding PT phase line grounding fault line | |
| CN110223411A (en) | A kind of public water dispenser cruising inspection system and method | |
| CN110191162B (en) | Power distribution communication equipment field operation and maintenance method, server and system | |
| CN112132819A (en) | A communication network management monitoring method based on artificial intelligence | |
| CN105318196B (en) | A kind of oil pipeline simulative surveillance method and system | |
| CN115880803A (en) | An intelligent inspection system and method | |
| CN110597130A (en) | Unattended substation remote information acquisition system | |
| CN115187086A (en) | Intelligent management and control system for emergency management | |
| CN115630948A (en) | Online checking system and method for safety measures of secondary equipment of power system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |