CN110728202A - Transmission conductor foreign matter detection method, terminal and system - Google Patents
Transmission conductor foreign matter detection method, terminal and system Download PDFInfo
- Publication number
- CN110728202A CN110728202A CN201910900402.XA CN201910900402A CN110728202A CN 110728202 A CN110728202 A CN 110728202A CN 201910900402 A CN201910900402 A CN 201910900402A CN 110728202 A CN110728202 A CN 110728202A
- Authority
- CN
- China
- Prior art keywords
- foreign matter
- detection result
- matter detection
- power transmission
- foreign
- 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.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/26—Visual data mining; Browsing structured data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
Abstract
The invention discloses a method, a terminal and a system for detecting foreign matters in a transmission conductor, wherein the method comprises the following steps: receiving first video information acquired by a camera and second video information acquired by an unmanned aerial vehicle; analyzing the first video information and the second video information respectively based on a deep learning model to obtain a first foreign matter detection result and a second foreign matter detection result; and sending the first foreign matter detection result and the second foreign matter detection result to a server so that the server updates and displays the foreign matter hot spot diagram through a power transmission conductor. The method, the terminal and the system for detecting the foreign matters on the power transmission conductor can replace a manual line patrol mode to detect the foreign matters on the power transmission conductor, and improve the detection efficiency.
Description
Technical Field
The invention relates to the technical field of transmission conductor foreign matter detection, in particular to a transmission conductor foreign matter detection method, terminal and system.
Background
The transmission line is an important component of a power system, the safety of the transmission line is directly related to national economic construction and life of people, the transmission line needs to be maintained regularly, if daily maintenance is not carried out, foreign matters like plastic bags, balloons, kites and branches can wind the transmission line from time to time, the limit discharge distance of high voltage can be shortened by the foreign matters, the safety of a power grid can be endangered seriously, large-area power failure is caused, and even serious personnel injury and equipment failure are caused.
In the prior art, a manual line patrol mode is still adopted for daily maintenance of a transmission conductor line, but the mode brings great working intensity to related personnel, the maintenance cost is high, the detection speed is low, and the efficiency is low.
Disclosure of Invention
The invention provides a method, a terminal and a system for detecting foreign matters in a transmission conductor, which can replace a manual line patrol mode to realize detection of the foreign matters in the transmission conductor and improve the detection efficiency.
In a first aspect, an embodiment of the present invention provides a method for detecting a foreign object in a power transmission conductor, including the following steps:
receiving first video information acquired by a camera and second video information acquired by an unmanned aerial vehicle;
analyzing the first video information and the second video information respectively based on a deep learning model to obtain a first foreign matter detection result and a second foreign matter detection result;
and sending the first foreign matter detection result and the second foreign matter detection result to a server so that the server updates and displays the foreign matter hot spot diagram through a power transmission conductor.
Preferably, the first foreign object detection result and the second foreign object detection result are sent to a server, so that the server updates and displays a foreign object hotspot graph through a power transmission conductor, specifically: and sending the first foreign matter detection result and the second foreign matter detection result to a server so that the server updates and displays the first foreign matter detection result and the second foreign matter detection result through a power transmission conductor foreign matter hotspot graph based on a Storm flow frame.
Preferably, the first foreign object detection result includes a first foreign object type, number, and transmission tower number, and the second foreign object detection result includes a second foreign object type, number, and geographical coordinates at which the second foreign object is detected.
In a second aspect, an embodiment of the present invention provides a power transmission conductor foreign matter detection method, including the following steps:
the terminal receives first video information acquired by a camera and second video information acquired by an unmanned aerial vehicle;
the terminal analyzes the first video information and the second video information respectively based on a deep learning model to obtain a first foreign matter detection result and a second foreign matter detection result;
the terminal sends the first foreign matter detection result and the second foreign matter detection result to a server;
and the server updates and displays the first foreign matter detection result and the second foreign matter detection result through a power transmission conductor foreign matter hot spot diagram.
Preferably, the first foreign matter detection result includes a first foreign matter type, number, and transmission tower number, the second foreign matter detection result includes a second foreign matter type, number, and geographical coordinates at which the second foreign matter is detected, and correspondingly, the server updates and displays the first foreign matter type, number, and transmission tower number and the second foreign matter type, number, and geographical coordinates at which the second foreign matter is detected on a transmission conductor foreign matter hotspot graph based on a Storm flow frame.
Preferably, the method further comprises the steps of: and the server determines the frequent foreign matter area according to the foreign matter hot spot diagram and analyzes the reason causing the frequent foreign matter.
Preferably, the method further comprises the steps of: and the server adjusts the unmanned aerial vehicle inspection strategy according to the foreign matter hotspot graph.
In a third aspect, an embodiment of the present invention provides a terminal, including: one or more processors, one or more memories; the one or more memories coupled to the one or more processors, the one or more memories for storing computer program code comprising computer instructions which, when executed by the one or more processors, cause the terminal to perform the power conductor foreign object detection method described above.
In a fourth aspect, embodiments of the present invention provide a power transmission conductor foreign object detection system, comprising a terminal and a server, the terminal and the server being connected in wireless communication, wherein,
the terminal is used for receiving first video information acquired by the camera and second video information acquired by the unmanned aerial vehicle; analyzing the first video information and the second video information respectively based on a deep learning model to obtain a first foreign matter detection result and a second foreign matter detection result; sending the first foreign object detection result and the second foreign object detection result to the server;
the server is used for updating and displaying the first foreign matter detection result and the second foreign matter detection result through a power transmission conductor foreign matter hot spot diagram.
Preferably, the first foreign matter detection result includes a first foreign matter type, number, and transmission tower number, the second foreign matter detection result includes a second foreign matter type, number, and geographical coordinates at which the second foreign matter is detected, and correspondingly, the server updates and displays the first foreign matter type, number, and transmission tower number and the second foreign matter type, number, and geographical coordinates at which the second foreign matter is detected on a transmission conductor foreign matter hotspot graph based on a Storm flow frame.
By adopting the technical scheme, the terminal receives the first video information acquired by the camera and the second video information acquired by the unmanned aerial vehicle; analyzing the first video information and the second video information respectively based on the deep learning model to obtain a first foreign matter detection result and a second foreign matter detection result; and then the first foreign matter detection result and the second foreign matter detection result are sent to a server, so that the server updates and displays through a transmission conductor foreign matter hotspot graph, related personnel can know the condition of the transmission conductor foreign matter through the transmission conductor foreign matter hotspot graph without manual inspection, the detection efficiency is improved, the labor cost is reduced, video information of the transmission conductor is acquired through a camera on a transmission tower, the video information of the transmission conductor is acquired through an unmanned aerial vehicle, the foreign matter detection result is obtained by combining the video information of the two aspects, and the foreign matter detection accuracy is higher.
Drawings
Fig. 1 is a flowchart of a power transmission conductor foreign object detection method according to an embodiment of the present invention;
fig. 2 is another flowchart of a power transmission conductor foreign object detection method according to an embodiment of the invention;
fig. 3 is a block diagram of a power transmission conductor foreign matter detection system according to an embodiment of the present invention.
Detailed Description
The following further describes embodiments of the present invention with reference to the drawings. It should be noted that the description of the embodiments is provided to help understanding of the present invention, but the present invention is not limited thereto. In addition, the technical features involved in the embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
In the description of the embodiments herein, "/" means "or" unless otherwise specified, for example, a/B may mean a or B; "and/or" herein is merely an association describing an associated object, and means that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, in the description of the embodiments of the present application, "a plurality" means two or more than two.
In the following, the terms "first", "second" are used for descriptive purposes only and are not to be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the embodiments of the present application, "a plurality" means two or more unless otherwise specified.
In a first aspect, as shown in fig. 1, an embodiment of the present invention provides a power transmission conductor foreign object detection method, including the following steps:
s101, receiving first video information acquired by a camera and second video information acquired by an unmanned aerial vehicle;
the camera is arranged on the power transmission tower, the camera can be a camera arranged on the power transmission tower independently, and the camera can also be a camera arranged on a terminal, and the terminal is arranged on the power transmission tower. The camera is in wireless communication connection with the terminal, and the camera can be controlled by the terminal to acquire video information of the transmission conductor.
In addition, the unmanned aerial vehicle that can patrol and examine can gather transmission line video information.
Step S102, analyzing the first video information and the second video information respectively based on a deep learning model to obtain a first foreign matter detection result and a second foreign matter detection result;
deep learning provides a method for enabling a computer to automatically learn mode characteristics, and the characteristic learning is integrated into the process of establishing a model, so that incompleteness caused by artificial design of characteristics is reduced. And under the application scene that satisfies specific condition, the discernment or classification performance that surpasses current algorithm has been reached.
The first video information and the second video information are respectively subjected to video decoding, the decoded images are respectively input into the deep learning model, foreign matters on a power transmission line in the images, including but not limited to bird nests, plastic films and the like, are detected through the deep learning model, and a first foreign matter detection result and a second foreign matter detection result are respectively obtained.
And step S103, sending the first foreign matter detection result and the second foreign matter detection result to a server so that the server updates and displays the foreign matter hot spot diagram through the power transmission conductor.
The terminal sends the obtained first foreign matter detection result and the second foreign matter detection result to the server, the server can conveniently analyze and process the first foreign matter detection result and the second foreign matter detection result, and the server can display the first foreign matter detection result and the second foreign matter detection result through a power transmission conductor foreign matter hot spot diagram.
By adopting the technical scheme, the terminal receives the first video information acquired by the camera and the second video information acquired by the unmanned aerial vehicle; analyzing the first video information and the second video information respectively based on the deep learning model to obtain a first foreign matter detection result and a second foreign matter detection result; then send first foreign matter testing result and second foreign matter testing result for the server, so that the server passes through transmission line foreign matter hotspot graph update display, can make relevant personnel know the condition of transmission line foreign matter through transmission line foreign matter hotspot graph like this, do not need the manual work to patrol and examine, the detection efficiency is improved, the labor cost is reduced, and transmission line video information has been gathered through the camera on the transmission tower promptly, gather transmission line video information through unmanned aerial vehicle again, combine the video information of two aspects to obtain the foreign matter testing result, it is higher to detect the foreign matter degree of accuracy.
Preferably, in step S103: sending the first foreign matter detection result and the second foreign matter detection result to a server so that the server updates and displays a foreign matter hotspot graph through a power transmission conductor, specifically: and sending the first foreign matter detection result and the second foreign matter detection result to a server so that the server updates and displays the first foreign matter detection result and the second foreign matter detection result through a power transmission conductor foreign matter hotspot graph based on a Storm flow frame.
Storm flow framework: storm is a free-sourced, distributed, highly fault-tolerant real-time computing system. Storm makes continuous stream computation easy, making up real-time requirements that Hadoop batch processing cannot meet. Storm has prominent effect in the fields of real-time analysis, online machine learning, continuous calculation, distributed remote invocation, ETL and the like. Storm deployment management is very simple and Storm performance is superior in homogeneous streaming tools.
In the application, the transmission conductor foreign matter heat point diagram is updated and displayed in real time through the Storm flow frame according to the first foreign matter detection result and the second foreign matter detection result, the efficiency is higher, and the speed is higher.
Preferably, the first foreign object detection result includes a first foreign object type, number, and transmission tower number, and the second foreign object detection result includes a second foreign object type, number, and geographical coordinates at which the second foreign object is detected.
Therefore, the power transmission tower number, the type and the number of the foreign matters at the power transmission conductor can be displayed through the foreign matter heat point diagram of the power transmission conductor, and the specific geographic position, the type and the number of the foreign matters at the power transmission conductor can be displayed, so that the foreign matter detection condition of the power transmission conductor can be clear by related workers watching the foreign matter heat point diagram of the power transmission conductor.
In a second aspect, as shown in fig. 2, an embodiment of the present invention provides a power transmission conductor foreign matter detection method, including the following steps:
step S201, a terminal receives first video information acquired by a camera and second video information acquired by an unmanned aerial vehicle;
step S202, the terminal analyzes the first video information and the second video information respectively based on a deep learning model to obtain a first foreign matter detection result and a second foreign matter detection result;
step S203, the terminal sends the first foreign matter detection result and the second foreign matter detection result to a server;
and step S204, the server updates and displays the first foreign matter detection result and the second foreign matter detection result through a power transmission conductor foreign matter hot spot diagram.
The method is applied to a power transmission conductor foreign matter detection system, and the power transmission conductor foreign matter detection system comprises a terminal and a server. The terminals are arranged on the transmission towers, and the terminals can be arranged on each transmission tower or some transmission towers.
Preferably, the first foreign matter detection result includes a first foreign matter type, number, and transmission tower number, and the second foreign matter detection result includes a second foreign matter type, number, and geographical coordinates at which the second foreign matter is detected, and correspondingly, the server updates and displays the first foreign matter type, number, and transmission tower number and the second foreign matter type, number, and geographical coordinates at which the second foreign matter is detected on the transmission conductor foreign matter hotspot map based on the Storm flow frame.
Preferably, the method further comprises the steps of: the server determines the frequent foreign matter area according to the foreign matter hotspot graph and analyzes the reason causing the frequent foreign matter. Therefore, related personnel can carry out the next treatment or remedial action according to the analysis results, and more serious results are avoided.
Preferably, the method further comprises the steps of: and the server adjusts the unmanned aerial vehicle inspection strategy according to the foreign matter hotspot graph.
Preferably, the method further comprises the steps of: and the server sends the first foreign matter detection result and the second foreign matter detection result to the client. Therefore, related personnel holding the client can conveniently know the detection condition of the foreign matters in the power transmission conductor, so that timely treatment measures are carried out, and loss and more serious consequences are avoided.
In a third aspect, an embodiment of the present invention provides a terminal, including: one or more processors, one or more memories; the one or more memories coupled to the one or more processors, the one or more memories for storing computer program code comprising computer instructions which, when executed by the one or more processors, cause the terminal to perform the power conductor foreign object detection method described above.
The memory may be, but is not limited to, a read-only memory (ROM) or other type of static storage device that may store static information and instructions, a Random Access Memory (RAM) or other type of dynamic storage device that may store information and instructions, an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compact disc, laser disc, optical disc, digital versatile disc, blu-ray disc, etc.), a magnetic disc storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. The memory may be self-contained and coupled to the processor via a bus. The memory may also be integral to the processor.
The memory is used for storing application program codes for executing the scheme of the application and is controlled by the processor to execute. The processor is configured to execute the application code stored in the memory to implement the functions of the method of the present patent.
In particular implementations, a processor may include one or more CPUs and GPUs, as one embodiment.
In particular implementations, the terminal may include multiple processors, as one embodiment. Each of the processors may be a single-Core (CPU) processor, a multi-core (multi-CPU) processor, or a GPU. A processor herein may refer to one or more devices, circuits, and/or processing cores for processing data (e.g., computer program instructions).
In a fourth aspect, as shown in fig. 3, an embodiment of the present invention provides a power transmission conductor foreign object detection system, which comprises a terminal 300 and a server 400, wherein the terminal 300 and the server 400 are connected in wireless communication, wherein,
the terminal 300 is used for receiving first video information acquired by a camera and second video information acquired by an unmanned aerial vehicle; analyzing the first video information and the second video information respectively based on a deep learning model to obtain a first foreign matter detection result and a second foreign matter detection result; sending the first foreign matter detection result and the second foreign matter detection result to a server;
the server 400 is configured to update and display the first foreign object detection result and the second foreign object detection result by using a power transmission line foreign object hotspot map.
Preferably, the first foreign matter detection result includes a first foreign matter type, number, and transmission tower number, and the second foreign matter detection result includes a second foreign matter type, number, and geographical coordinates at which the second foreign matter is detected, and correspondingly, the server updates and displays the first foreign matter type, number, and transmission tower number and the second foreign matter type, number, and geographical coordinates at which the second foreign matter is detected on the transmission conductor foreign matter hotspot map based on the Storm flow frame.
The embodiments of the present invention have been described in detail with reference to the accompanying drawings, but the present invention is not limited to the described embodiments. It will be apparent to those skilled in the art that various changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, and the scope of protection is still within the scope of the invention.
Claims (10)
1. A method for detecting foreign matters in a power transmission conductor is characterized by comprising the following steps:
receiving first video information acquired by a camera and second video information acquired by an unmanned aerial vehicle;
analyzing the first video information and the second video information respectively based on a deep learning model to obtain a first foreign matter detection result and a second foreign matter detection result;
and sending the first foreign matter detection result and the second foreign matter detection result to a server so that the server updates and displays the foreign matter hot spot diagram through a power transmission conductor.
2. The power conductor foreign matter detection method according to claim 1, wherein the first foreign matter detection result and the second foreign matter detection result are transmitted to a server so that the server updates a display by a power conductor foreign matter hotspot map, specifically: and sending the first foreign matter detection result and the second foreign matter detection result to a server so that the server updates and displays the first foreign matter detection result and the second foreign matter detection result through a power transmission conductor foreign matter hotspot graph based on a Storm flow frame.
3. The power transmission conductor foreign object detection method according to claim 2, wherein the first foreign object detection result includes a first foreign object type, number, and power transmission tower number, and the second foreign object detection result includes a second foreign object type, number, and geographical coordinates at which the second foreign object is detected.
4. A method for detecting foreign matters in a power transmission conductor is characterized by comprising the following steps:
the terminal receives first video information acquired by a camera and second video information acquired by an unmanned aerial vehicle;
the terminal analyzes the first video information and the second video information respectively based on a deep learning model to obtain a first foreign matter detection result and a second foreign matter detection result;
the terminal sends the first foreign matter detection result and the second foreign matter detection result to a server;
and the server updates and displays the first foreign matter detection result and the second foreign matter detection result through a power transmission conductor foreign matter hot spot diagram.
5. The power transmission conductor foreign matter detection method according to claim 4, wherein the first foreign matter detection result includes a first foreign matter type, number, and power transmission tower number, and the second foreign matter detection result includes a second foreign matter type, number, and geographical coordinates at which the second foreign matter is detected, and correspondingly, the server updates a display of the first foreign matter type, number, and power transmission tower number and the second foreign matter type, number, and geographical coordinates at which the second foreign matter is detected on a power transmission conductor foreign matter heat map based on a Storm flow frame.
6. The power transmission conductor foreign matter detection method according to claim 4, characterized by further comprising the step of: and the server determines the frequent foreign matter area according to the foreign matter hot spot diagram and analyzes the reason causing the frequent foreign matter.
7. The power transmission conductor foreign matter detection method according to claim 4, characterized by further comprising the step of: and the server adjusts the unmanned aerial vehicle inspection strategy according to the foreign matter hotspot graph.
8. A terminal, comprising: one or more processors, one or more memories; the one or more memories coupled to the one or more processors for storing computer program code comprising computer instructions which, when executed by the one or more processors, cause the terminal to perform the power conductor foreign object detection method of any of claims 1-3.
9. A power transmission conductor foreign matter detection system, comprising a terminal and a server, the terminal and the server being connected in wireless communication, wherein,
the terminal is used for receiving first video information acquired by the camera and second video information acquired by the unmanned aerial vehicle; analyzing the first video information and the second video information respectively based on a deep learning model to obtain a first foreign matter detection result and a second foreign matter detection result; sending the first foreign object detection result and the second foreign object detection result to the server;
the server is used for updating and displaying the first foreign matter detection result and the second foreign matter detection result through a power transmission conductor foreign matter hot spot diagram.
10. The power transmission line foreign object detection system according to claim 9, wherein the first foreign object detection result includes a first foreign object type, number, and power transmission tower number, and the second foreign object detection result includes a second foreign object type, number, and geographical coordinates at which the second foreign object is detected, and correspondingly, the server updates a display of the first foreign object type, number, and power transmission tower number and the second foreign object type, number, and geographical coordinates at which the second foreign object is detected on a power transmission line foreign object heat map based on a Storm flow frame.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910900402.XA CN110728202A (en) | 2019-09-23 | 2019-09-23 | Transmission conductor foreign matter detection method, terminal and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910900402.XA CN110728202A (en) | 2019-09-23 | 2019-09-23 | Transmission conductor foreign matter detection method, terminal and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110728202A true CN110728202A (en) | 2020-01-24 |
Family
ID=69218269
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910900402.XA Pending CN110728202A (en) | 2019-09-23 | 2019-09-23 | Transmission conductor foreign matter detection method, terminal and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110728202A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111342391A (en) * | 2020-03-06 | 2020-06-26 | 云南电网有限责任公司电力科学研究院 | Power transmission line insulator and line fault inspection method and inspection system |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103941746A (en) * | 2014-03-29 | 2014-07-23 | 国家电网公司 | System and method for processing unmanned aerial vehicle polling image |
| US20160092739A1 (en) * | 2014-09-26 | 2016-03-31 | Nec Corporation | Object tracking apparatus, object tracking system, object tracking method, display control device, object detection device, and computer-readable medium |
| CN105654047A (en) * | 2015-12-21 | 2016-06-08 | 中国石油大学(华东) | Online video intelligent processing system based on deep learning in cloud environment |
| CN106055592A (en) * | 2016-05-20 | 2016-10-26 | 浙江大学 | Monitoring method of power system voltage or load in map |
| CN106295436A (en) * | 2016-10-29 | 2017-01-04 | 国家电网公司 | Power transmission line inspection detecting system and method |
| CN107067365A (en) * | 2017-04-25 | 2017-08-18 | 中国石油大学(华东) | The embedded real-time video stream processing system of distribution and method based on deep learning |
| CN108352998A (en) * | 2015-12-23 | 2018-07-31 | 英特尔公司 | Telemetering adjusts |
| CN109631848A (en) * | 2018-12-14 | 2019-04-16 | 山东鲁能软件技术有限公司 | Electric line foreign matter intruding detection system and detection method |
| CN109766746A (en) * | 2018-11-22 | 2019-05-17 | 南京理工大学 | A kind of track foreign matter detecting method of unmanned plane video |
| CN110059631A (en) * | 2019-04-19 | 2019-07-26 | 中铁第一勘察设计院集团有限公司 | The contactless monitoring defect identification method of contact net |
-
2019
- 2019-09-23 CN CN201910900402.XA patent/CN110728202A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103941746A (en) * | 2014-03-29 | 2014-07-23 | 国家电网公司 | System and method for processing unmanned aerial vehicle polling image |
| US20160092739A1 (en) * | 2014-09-26 | 2016-03-31 | Nec Corporation | Object tracking apparatus, object tracking system, object tracking method, display control device, object detection device, and computer-readable medium |
| CN105654047A (en) * | 2015-12-21 | 2016-06-08 | 中国石油大学(华东) | Online video intelligent processing system based on deep learning in cloud environment |
| CN108352998A (en) * | 2015-12-23 | 2018-07-31 | 英特尔公司 | Telemetering adjusts |
| CN106055592A (en) * | 2016-05-20 | 2016-10-26 | 浙江大学 | Monitoring method of power system voltage or load in map |
| CN106295436A (en) * | 2016-10-29 | 2017-01-04 | 国家电网公司 | Power transmission line inspection detecting system and method |
| CN107067365A (en) * | 2017-04-25 | 2017-08-18 | 中国石油大学(华东) | The embedded real-time video stream processing system of distribution and method based on deep learning |
| CN109766746A (en) * | 2018-11-22 | 2019-05-17 | 南京理工大学 | A kind of track foreign matter detecting method of unmanned plane video |
| CN109631848A (en) * | 2018-12-14 | 2019-04-16 | 山东鲁能软件技术有限公司 | Electric line foreign matter intruding detection system and detection method |
| CN110059631A (en) * | 2019-04-19 | 2019-07-26 | 中铁第一勘察设计院集团有限公司 | The contactless monitoring defect identification method of contact net |
Non-Patent Citations (1)
| Title |
|---|
| 覃庆勇: "广西ETC车道日志分析的实践与应用", 《西部交通科技》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111342391A (en) * | 2020-03-06 | 2020-06-26 | 云南电网有限责任公司电力科学研究院 | Power transmission line insulator and line fault inspection method and inspection system |
| CN111342391B (en) * | 2020-03-06 | 2021-05-14 | 云南电网有限责任公司电力科学研究院 | Power transmission line insulator and line fault inspection method and inspection system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112528971B (en) | Power transmission line abnormal target detection method and system based on deep learning | |
| US11689154B2 (en) | Systems and methods for distributed-solar power forecasting using parameter regularization | |
| CN110597937B (en) | Unmanned intelligent inspection method, device, equipment and storage medium | |
| JP2023500415A (en) | Methods and apparatus for detecting yaw anomalies with respect to wind, and devices and storage media thereof | |
| CN116298701B (en) | Power distribution network fault detection method and related device based on digital twin system | |
| CN112688434A (en) | Monitoring and early warning method and device for power transmission and distribution line, computer equipment and medium | |
| CN114463948A (en) | Geological disaster monitoring and early warning method and system | |
| CN110728202A (en) | Transmission conductor foreign matter detection method, terminal and system | |
| CN114020005B (en) | Flight path planning method and system for multi-unmanned aerial vehicle collaborative inspection distribution network line | |
| CN114399061A (en) | Base station inspection method and system | |
| CN112541464A (en) | Method and device for determining associated road object, road side equipment and cloud control platform | |
| KR101696222B1 (en) | System for estimating transmission capacity and analyzing electric power system | |
| CN110647935B (en) | Method and device for predicting tree growth trend in power transmission line area | |
| CN110187363B (en) | Wind measuring method, system, equipment and storage medium suitable for large wind power base | |
| CN111738259A (en) | Tower state detection method and device | |
| CN116686535A (en) | Unmanned harvester control method and system based on data analysis | |
| CN116050159A (en) | Simulation scene set generation method, device, equipment and medium | |
| CN115100592A (en) | Method and device for identifying hidden danger of external damage of power transmission channel and storage medium | |
| CN114971053A (en) | Training method and device for online prediction model of network line loss rate of low-voltage transformer area | |
| CN113887813A (en) | Typhoon disaster early warning method and device, server and storage medium | |
| CN113435802B (en) | Power transmission network monitoring planning scheme construction method, device, equipment and storage medium | |
| CN110766281B (en) | Transmission conductor wind damage early warning method and terminal based on deep learning | |
| CN110717383B (en) | Remote sensing detection method, device and system | |
| CN116340674A (en) | Road object 3D drawing method, device, equipment and storage medium | |
| CN115861680A (en) | Risk detection method and device for electric meter box, computer equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information | ||
| CB02 | Change of applicant information |
Address after: 716 Huanghe East Road, Jinfeng District, Yinchuan City, Ningxia Hui Autonomous Region Applicant after: ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID NINGXIA ELECTRIC POWER Co.,Ltd. Applicant after: Shandong luruan Digital Technology Co.,Ltd. Address before: 716 Huanghe East Road, Jinfeng District, Yinchuan City, Ningxia Hui Autonomous Region Applicant before: ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID NINGXIA ELECTRIC POWER Co.,Ltd. Applicant before: SHANDONG LUNENG SOFTWARE TECHNOLOGY Co.,Ltd. |
|
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200124 |