CN113467349B - Intelligent identification premonitory warning system for potential safety hazard of power transmission line - Google Patents
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Abstract
The invention discloses an intelligent identification premonitory warning system for potential safety hazard of a power transmission line, which comprises a monitoring end and a plurality of remote data acquisition ends arranged on a pole tower, wherein the remote data acquisition ends comprise: the system comprises a data acquisition module, a controller, an alarm module, a wireless communication module and a power supply module, wherein the monitoring end comprises: the system comprises a network module, a database, a data analysis module and an interaction module, wherein: the data acquisition module comprises an image data acquisition sub-module, a data acquisition sub-module and a data processing module, wherein the image data acquisition sub-module is used for acquiring real-time video images of the monitored power transmission line and the surrounding environment thereof; the electric data acquisition sub-module is used for acquiring real-time electric data of the monitored transmission line; an environmental data acquisition sub-module; according to the invention, the power transmission line is monitored in real time by adopting the remote data acquisition end in communication connection with the monitoring end, so that abnormal information and potential safety hazards of the line can be found in time, and a pre-warning is carried out, so that an operator can process the abnormal information and potential safety hazard in advance, and the abnormal situation can be prevented.
Description
Technical Field
The invention relates to the technical field of electric power operation and maintenance, in particular to an intelligent recognition premonitory alarm system for potential safety hazards of a power transmission line.
Background
With the development of economy, high-voltage transmission lines in various places are more and more, however, due to the long distance of the high-voltage transmission lines, the arrangement of geographical situation is complex and the limitation of test equipment, no effective, timely, simple and reliable daily maintenance method exists for the high-voltage transmission lines, especially for the lines which are located in remote areas such as original forests, oceans and the like or are not easy to enter the areas, only fault points are searched for maintenance after faults occur, the high-voltage transmission lines cannot be prevented from being unburned, are very dangerous, the reaction repair time after the problems occur is long, and the loss caused by power failure and the like is also large.
The traditional high-voltage transmission line monitoring adopts a patrol mode, and mainly comprises two modes, namely a manual visual inspection method and a helicopter aerial survey method: the manual visual inspection method is that an inspector inspects along the ground line tower by tower, sometimes needs to climb on an iron tower or ride on a pulley hung on a line, and the operation mode has low precision, high labor intensity, high cost, long period and high risk and has an inspection blind area. The helicopter aerial survey rule is to drive the helicopter to patrol along the line, and the line is patrol by adopting a camera and other non-contact detection technologies.
Therefore, an intelligent identification premonitory alarm system for potential safety hazards of a power transmission line is needed to monitor the power transmission line in real time and discover abnormal information and potential safety hazards of the power transmission line in time, so that the purpose of premonitory alarm is achieved, the premonitory alarm is processed in advance, and the premonitory alarm is prevented.
Disclosure of Invention
The invention aims to provide an intelligent recognition premonitory alarm system for potential safety hazards of a power transmission line, which aims to solve the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions:
The utility model provides a transmission line potential safety hazard intelligent identification aura warning system, includes monitor end and a plurality of remote data acquisition end of installing on the shaft tower, remote data acquisition end includes: the system comprises a data acquisition module, a controller, an alarm module, a wireless communication module and a power supply module, wherein the monitoring end comprises: the system comprises a network module, a database, a data analysis module and an interaction module, wherein:
The data acquisition module comprises a data acquisition module and a data acquisition module,
The image data acquisition sub-module is used for acquiring real-time video images of the monitored power transmission line and the surrounding environment thereof;
the electric data acquisition sub-module is used for acquiring real-time electric data of the monitored transmission line;
the environment data acquisition sub-module is used for acquiring real-time environment data at the installation position of the remote data acquisition end;
the database may comprise a database of the type,
The data storage unit is used for storing real-time data acquired by the remote data acquisition end, wherein the real-time data comprises the real-time video image, the real-time electrical data and the real-time environment data;
the normal operation database is used for storing the normal operation data of the preset power transmission line;
The abnormal operation database is used for storing preset abnormal operation data of the power transmission line;
The data analysis module is used for comparing the real-time data with the normal operation data and the abnormal operation data, and making the following judgment on the operation state of the power transmission line according to the comparison result:
The similarity between the real-time data and the normal operation data is larger than a preset threshold value, and the similarity between the real-time data and the abnormal operation data is smaller than a preset threshold value, and the power transmission line state is judged to be normal in operation;
the similarity between the real-time data and the normal operation data is smaller than a preset threshold value, and the similarity between the real-time data and the abnormal operation data is larger than a preset threshold value, and the state of the power transmission line is judged to be abnormal operation;
The similarity between the real-time data and the normal operation data is smaller than a preset threshold value, and the similarity between the real-time data and the abnormal operation data is smaller than a preset threshold value, and the state of the power transmission line is judged to be confirmed manually;
The similarity between the real-time data and the normal operation data is greater than a preset threshold value, and the similarity between the real-time data and the abnormal operation data is greater than a preset threshold value, and the state of the power transmission line is judged to be confirmed manually;
the data analysis module is also used for regularly extracting a frame of picture in the real-time video image, carrying out image recognition on the frame of picture by adopting a trained image recognition neural network model, and judging whether potential safety hazards exist in the state of the power transmission line;
The data analysis module is also used for sending an alarm to an operator on duty through the interaction module when the state of the power transmission line is abnormal in operation and/or potential safety hazard exists; when the state of the power transmission line is to be manually confirmed, prompting related personnel to manually confirm through the interaction module and supplementing the normal operation database and the abnormal operation database.
As a further scheme of the invention: the image data acquisition submodule comprises a camera.
As a further scheme of the invention: the electrical data acquisition submodule comprises:
the current transformer is used for monitoring real-time current data of the power transmission line;
the voltage transformer is used for monitoring real-time voltage data of the power transmission line;
and the temperature sensor is used for monitoring real-time temperature data of the power transmission line.
As a further scheme of the invention: the environment data acquisition submodule comprises a temperature sensor, a humidity sensor and a wind speed sensor.
As a further scheme of the invention: the power supply module comprises a storage battery.
As a further scheme of the invention: the power supply module further comprises a power taking module and a photovoltaic charging module, wherein the power taking module is used for taking electric energy from the power transmission line and converting the electric energy to charge the storage battery.
As a further scheme of the invention: the remote data acquisition end further comprises a data storage module, and the data storage module is used for temporarily storing the real-time data when the remote data acquisition end cannot be in communication connection with the monitoring end.
As still further aspects of the invention: the alarm module comprises an audible and visual alarm and a tweeter, and the interaction module comprises a microphone, a mouse, a keyboard, a display and a loudspeaker.
As still further aspects of the invention: the working method of the system comprises the following steps: the method comprises the following steps:
Step one: acquiring normal operation data of a power transmission line to establish a normal operation database; acquiring abnormal operation data of the power transmission line to establish an abnormal operation database; acquiring a power transmission line picture with potential safety hazards to create a sample set, and completing training of an image recognition neural network model through the sample set;
Step two: the method comprises the steps that real-time data are collected through a remote data collection end, and the real-time data are compared with normal operation data and abnormal operation data to judge the operation state of a power transmission line; extracting a frame of picture in the real-time video image according to the set interval time, carrying out image recognition on the frame of picture by adopting a trained image recognition neural network model, and judging whether potential safety hazards exist in the state of the power transmission line;
step three: and if the judgment result of the second step is abnormal operation and/or potential safety hazard exists, sending an alarm to an operator on duty through the interaction module, and if the judgment result of the second step is to be manually confirmed, prompting the operator on duty to manually confirm and supplementing the normal operation database and the abnormal operation database through the interaction module.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, the power transmission line is monitored in real time by adopting the remote data acquisition end in communication connection with the monitoring end, so that abnormal information and potential safety hazards of the line can be found in time, and a pre-warning is carried out, so that an operator can process the abnormal information and potential safety hazard in advance, and the abnormal situation can be prevented.
2. According to the invention, the operation state of the power transmission line is judged to be three types of normal operation, abnormal operation and to-be-manually-confirmed, so that the probability of misjudgment can be reduced when the normal operation database and the abnormal operation database are insufficient in sample diversity in the early stage of system operation, and meanwhile, the database samples are timely supplemented in a mode of manually checking and confirming and supplementing the database, so that the judgment efficiency and the judgment precision are gradually improved, and the working intensity of operators on duty is gradually reduced.
3. According to the invention, through the arrangement of the alarm module and the interaction module, when a crane, a tower crane and the like work around the monitored power transmission line, an operator on duty can shout through the cooperation of the microphone and the tweeter to remind on-site personnel to keep away from the power transmission line, and when birds are found to nest on the tower or the power transmission line, the birds can be driven through the audible and visual alarm and the tweeter to prevent the birds from damaging the power transmission line, and the operator does not need to arrive on site.
Drawings
Fig. 1 is a block diagram of a system for intelligently identifying premonitory alarms of potential safety hazards of a power transmission line.
Fig. 2 is a block diagram of a database in an intelligent recognition premonitory warning system for potential safety hazard of a power transmission line.
Fig. 3 is a block diagram of a data acquisition system in the intelligent recognition premonitory warning system for potential safety hazard of a power transmission line.
Fig. 4 is a block diagram of a power supply module in the intelligent recognition premonitory warning system for potential safety hazard of a power transmission line.
Detailed Description
In order to make the technical problems, technical schemes and beneficial effects to be solved more clear, the invention will be further described in detail with reference to the following examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
It will be understood that when an element is referred to as being "mounted" or "disposed" on another element, it can be directly on the other element or be indirectly on the other element. When an element is referred to as being "connected to" another element, it can be directly connected to the other element or be indirectly connected to the other element.
It is to be understood that the terms "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like indicate or are based on the orientation or positional relationship shown in the drawings, merely to facilitate describing the present invention and simplify the description, and do not indicate or imply that the devices or elements referred to must have the orientation specific to the specification, be constructed and operated in the specific orientation, and thus should not be construed as limiting the present invention.
Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature.
Referring to fig. 1 to 4, in an embodiment of the present invention, an intelligent recognition premonitory warning system for potential safety hazard of a power transmission line includes a monitoring end and a plurality of remote data acquisition ends installed on a tower, where the remote data acquisition ends include: the system comprises a data acquisition module, a controller, an alarm module, a wireless communication module and a power supply module, wherein the monitoring end comprises: the system comprises a network module, a database, a data analysis module and an interaction module, wherein:
The data acquisition module comprises a data acquisition module and a data acquisition module,
The image data acquisition sub-module is used for acquiring real-time video images of the monitored power transmission line and the surrounding environment thereof;
the electric data acquisition sub-module is used for acquiring real-time electric data of the monitored transmission line;
the environment data acquisition sub-module is used for acquiring real-time environment data at the installation position of the remote data acquisition end;
the database may comprise a database of the type,
The data storage unit is used for storing real-time data acquired by the remote data acquisition end, wherein the real-time data comprises the real-time video image, the real-time electrical data and the real-time environment data;
the normal operation database is used for storing the normal operation data of the preset power transmission line;
The abnormal operation database is used for storing preset abnormal operation data of the power transmission line;
The data analysis module is used for comparing the real-time data with the normal operation data and the abnormal operation data, and making the following judgment on the operation state of the power transmission line according to the comparison result:
The similarity between the real-time data and the normal operation data is larger than a preset threshold value, and the similarity between the real-time data and the abnormal operation data is smaller than a preset threshold value, and the power transmission line state is judged to be normal in operation;
the similarity between the real-time data and the normal operation data is smaller than a preset threshold value, and the similarity between the real-time data and the abnormal operation data is larger than a preset threshold value, and the state of the power transmission line is judged to be abnormal operation;
The similarity between the real-time data and the normal operation data is smaller than a preset threshold value, and the similarity between the real-time data and the abnormal operation data is smaller than a preset threshold value, and the state of the power transmission line is judged to be confirmed manually;
The similarity between the real-time data and the normal operation data is greater than a preset threshold value, and the similarity between the real-time data and the abnormal operation data is greater than a preset threshold value, and the state of the power transmission line is judged to be confirmed manually;
The data analysis module is also used for regularly extracting a frame of picture in the real-time video image, adopting a trained image recognition neural network model to carry out image recognition on the frame of picture, and judging whether the state of the power transmission line has potential safety hazards or not, wherein the potential safety hazard characteristics comprise crane operation, tower crane operation, line smoking, line firing, tower tilting, line hanging with foreign matters, tree barrier cleaning, cable strand breakage, cable strand loosening, insulator breakage, insulator deletion, pin missing and the like.
The data analysis module is also used for sending an alarm to an operator on duty through the interaction module when the state of the power transmission line is abnormal in operation and/or potential safety hazard exists; when the state of the power transmission line is to be manually confirmed, prompting related personnel to manually confirm through the interaction module and supplementing the normal operation database and the abnormal operation database.
The image data acquisition submodule comprises a camera, and in order to improve the image acquisition range of the image acquisition submodule, the camera has the functions of remotely adjusting zooming and shooting angles, and meanwhile, the camera has an infrared function so as to shoot at night.
The electrical data acquisition submodule comprises:
the current transformer is used for monitoring real-time current data of the power transmission line;
the voltage transformer is used for monitoring real-time voltage data of the power transmission line;
and the temperature sensor is used for monitoring real-time temperature data of the power transmission line.
The environment data acquisition submodule comprises a temperature sensor, a humidity sensor and a wind speed sensor.
The power supply module comprises a storage battery.
The power supply module further comprises a power taking module and a photovoltaic charging module, wherein the power taking module is used for acquiring electric energy from the power transmission line and converting the acquired electric energy to charge the storage battery, and the charging mode of the storage battery can be selected through the setting of the power management module, so that the power transmission line is switched to the photovoltaic charging mode when in failure, or the power taking module is used for charging when insufficient illumination occurs, and the cruising of the remote data acquisition end is guaranteed.
The remote data acquisition end further comprises a data storage module, and the data storage module is used for temporarily storing the real-time data when the remote data acquisition end cannot be in communication connection with the monitoring end.
The alarm module comprises an audible and visual alarm and a tweeter, the interaction module comprises a microphone, a mouse, a keyboard, a display and a loudspeaker, when a crane, a tower crane and the like appear around a monitored transmission line to operate, on-duty personnel can carry out shouting through the cooperation of the microphone and the tweeter to remind on-site personnel to keep away from the transmission line, and when birds are found to nest on the tower or the transmission line, the birds can be driven through the audible and visual alarm and the tweeter to prevent the birds from damaging the transmission line.
The working method of the system comprises the following steps: the method comprises the following steps:
Step one: acquiring normal operation data of a power transmission line to establish a normal operation database; acquiring abnormal operation data of the power transmission line to establish an abnormal operation database; acquiring a power transmission line picture with potential safety hazards to create a sample set, and completing training of an image recognition neural network model through the sample set;
Step two: the method comprises the steps that real-time data are collected through a remote data collection end, and the real-time data are compared with normal operation data and abnormal operation data to judge the operation state of a power transmission line; extracting a frame of picture in the real-time video image according to the set interval time, carrying out image recognition on the frame of picture by adopting a trained image recognition neural network model, and judging whether potential safety hazards exist in the state of the power transmission line;
step three: and if the judgment result of the second step is abnormal operation and/or potential safety hazard exists, sending an alarm to an operator on duty through the interaction module, and if the judgment result of the second step is to be manually confirmed, prompting the operator on duty to manually confirm and supplementing the normal operation database and the abnormal operation database through the interaction module.
Although the present invention has been described with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments described, or equivalents may be substituted for elements thereof, and any modifications, equivalents, improvements and changes may be made without departing from the spirit and principles of the present invention.
Claims (9)
1. The utility model provides a transmission line potential safety hazard intelligent identification aura warning system which characterized in that: including monitor end and a plurality of remote data acquisition end of installing on the shaft tower, remote data acquisition end includes: the system comprises a data acquisition module, a controller, an alarm module, a wireless communication module and a power supply module, wherein the monitoring end comprises: the system comprises a network module, a database, a data analysis module and an interaction module, wherein:
The data acquisition module comprises a data acquisition module and a data acquisition module,
The image data acquisition sub-module is used for acquiring real-time video images of the monitored power transmission line and the surrounding environment thereof;
the electric data acquisition sub-module is used for acquiring real-time electric data of the monitored transmission line;
the environment data acquisition sub-module is used for acquiring real-time environment data at the installation position of the remote data acquisition end;
the database may comprise a database of the type,
The data storage unit is used for storing real-time data acquired by the remote data acquisition end, wherein the real-time data comprises the real-time video image, the real-time electrical data and the real-time environment data;
the normal operation database is used for storing the normal operation data of the preset power transmission line;
The abnormal operation database is used for storing preset abnormal operation data of the power transmission line;
The data analysis module is used for comparing the real-time data with the normal operation data and the abnormal operation data, and making the following judgment on the operation state of the power transmission line according to the comparison result:
The similarity between the real-time data and the normal operation data is larger than a preset threshold value, and the similarity between the real-time data and the abnormal operation data is smaller than a preset threshold value, and the power transmission line state is judged to be normal in operation;
the similarity between the real-time data and the normal operation data is smaller than a preset threshold value, and the similarity between the real-time data and the abnormal operation data is larger than a preset threshold value, and the state of the power transmission line is judged to be abnormal operation;
The similarity between the real-time data and the normal operation data is smaller than a preset threshold value, and the similarity between the real-time data and the abnormal operation data is smaller than a preset threshold value, and the state of the power transmission line is judged to be confirmed manually;
The similarity between the real-time data and the normal operation data is greater than a preset threshold value, and the similarity between the real-time data and the abnormal operation data is greater than a preset threshold value, and the state of the power transmission line is judged to be confirmed manually;
the data analysis module is also used for regularly extracting a frame of picture in the real-time video image, carrying out image recognition on the frame of picture by adopting a trained image recognition neural network model, and judging whether potential safety hazards exist in the state of the power transmission line;
The data analysis module is also used for sending an alarm to an operator on duty through the interaction module when the state of the power transmission line is abnormal in operation and/or potential safety hazard exists; when the state of the power transmission line is to be manually confirmed, prompting related personnel to manually confirm through the interaction module and supplementing the normal operation database and the abnormal operation database.
2. The intelligent recognition premonitory warning system for potential safety hazards of power transmission lines according to claim 1, wherein the intelligent recognition premonitory warning system is characterized in that: the image data acquisition submodule comprises a camera.
3. The intelligent recognition premonitory warning system for potential safety hazards of power transmission lines according to claim 1, wherein the intelligent recognition premonitory warning system is characterized in that: the electrical data acquisition submodule comprises:
the current transformer is used for monitoring real-time current data of the power transmission line;
the voltage transformer is used for monitoring real-time voltage data of the power transmission line;
and the temperature sensor is used for monitoring real-time temperature data of the power transmission line.
4. The intelligent recognition premonitory warning system for potential safety hazards of power transmission lines according to claim 1, wherein the intelligent recognition premonitory warning system is characterized in that: the environment data acquisition submodule comprises a temperature sensor, a humidity sensor and a wind speed sensor.
5. The intelligent recognition premonitory warning system for potential safety hazards of power transmission lines according to claim 1, wherein the intelligent recognition premonitory warning system is characterized in that: the power supply module comprises a storage battery.
6. The intelligent recognition premonitory warning system for potential safety hazards of power transmission lines according to claim 5, wherein the intelligent recognition premonitory warning system is characterized in that: the power supply module further comprises a power taking module and a photovoltaic charging module, wherein the power taking module is used for taking electric energy from the power transmission line and converting the electric energy to charge the storage battery.
7. The intelligent recognition premonitory warning system for potential safety hazards of power transmission lines according to claim 1, wherein the intelligent recognition premonitory warning system is characterized in that: the remote data acquisition end further comprises a data storage module, and the data storage module is used for temporarily storing the real-time data when the remote data acquisition end cannot be in communication connection with the monitoring end.
8. The intelligent recognition premonitory warning system for potential safety hazards of power transmission lines according to claim 1, wherein the intelligent recognition premonitory warning system is characterized in that: the alarm module comprises an audible and visual alarm and a tweeter, and the interaction module comprises a microphone, a mouse, a keyboard, a display and a loudspeaker.
9. The intelligent recognition premonitory warning system for potential safety hazard of power transmission line according to any one of claims 1 to 8, wherein: the working method of the system comprises the following steps: the method comprises the following steps:
Step one: acquiring normal operation data of a power transmission line to establish a normal operation database; acquiring abnormal operation data of the power transmission line to establish an abnormal operation database; acquiring a power transmission line picture with potential safety hazards to create a sample set, and completing training of an image recognition neural network model through the sample set;
Step two: the method comprises the steps that real-time data are collected through a remote data collection end, and the real-time data are compared with normal operation data and abnormal operation data to judge the operation state of a power transmission line; extracting a frame of picture in the real-time video image according to the set interval time, carrying out image recognition on the frame of picture by adopting a trained image recognition neural network model, and judging whether potential safety hazards exist in the state of the power transmission line;
step three: and if the judgment result of the second step is abnormal operation and/or potential safety hazard exists, sending an alarm to an operator on duty through the interaction module, and if the judgment result of the second step is to be manually confirmed, prompting the operator on duty to manually confirm and supplementing the normal operation database and the abnormal operation database through the interaction module.
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| 基于输电线路在线巡视***的智能预警***研究;赵建青;姚瑶;邱玩辉;唐金锐;刘洪洁;李振宇;陈旭;谢敬;尹项根;;电力***保护与控制;20131127(第23期);全文 * |
| 输电线路在线巡视***的智能预警***分析;潘荣杰;;企业技术开发;20160626(第18期);全文 * |
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