CN113467349A - Intelligent identification premonitory warning system for potential safety hazards of power transmission line - Google Patents
Intelligent identification premonitory warning system for potential safety hazards of power transmission line Download PDFInfo
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- CN113467349A CN113467349A CN202110519663.4A CN202110519663A CN113467349A CN 113467349 A CN113467349 A CN 113467349A CN 202110519663 A CN202110519663 A CN 202110519663A CN 113467349 A CN113467349 A CN 113467349A
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- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/048—Monitoring; Safety
Abstract
The invention discloses a transmission line potential safety hazard intelligent identification premonitory warning system, which comprises a monitoring end and a plurality of remote data acquisition ends arranged on a tower, wherein the remote data acquisition ends comprise: data acquisition module, controller, alarm module, wireless communication module and power module, the control end includes: network module, database, data analysis module and interaction module, wherein: the data acquisition module comprises an image data acquisition submodule and a data acquisition submodule, wherein the image data acquisition submodule is used for acquiring real-time video images of the monitored power transmission line and the surrounding environment of the monitored power transmission line; the electric data acquisition submodule is used for acquiring real-time electric data of the monitored power transmission line; an environmental data acquisition submodule; the remote data acquisition end in communication connection with the monitoring end is adopted to monitor the power transmission line in real time, so that the abnormal information and potential safety hazard of the line can be found in time, and the premonitory alarm is performed, so that the operation personnel can process the abnormal information and the potential safety hazard in advance, and the purpose of preventing the abnormal information and the potential safety hazard is achieved.
Description
Technical Field
The invention relates to the technical field of electric power operation and maintenance, in particular to an intelligent identification premonitory warning 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 complex geographical situation and the limitation of test equipment, no effective, timely, simple and reliable daily maintenance method exists for the high-voltage transmission lines, particularly for lines which are located in original forests, oceans and the like and are remote or difficult to enter the regions, the high-voltage transmission lines are maintained only by searching fault points after faults occur, the problems cannot be prevented from being burnt, the high-voltage transmission lines are very dangerous, the time for response and restoration after the problems occur is long, and the loss caused by power failure and the like is large.
The traditional monitoring of high-voltage transmission lines adopts a polling mode, and mainly comprises two modes, namely a manual visual method and a helicopter aerial method: the manual visual inspection method is that an inspector inspects the ground tower by tower along the line, sometimes needs to climb an iron tower or take a pulley suspended on the line, and the operation mode has low precision, high labor intensity, high cost, long period and high danger, and has inspection blind areas. The helicopter aerial survey method is to drive the helicopter to patrol along the line, and adopts a camera and other non-contact detection technologies to patrol the line, and the method has the advantages of strong flexibility, wide visual field, potential flight safety hazards and high line patrol cost.
Therefore, there is a need for an intelligent transmission line potential safety hazard identification premonitory warning system to monitor the transmission line in real time and discover abnormal line information and potential safety hazard in time, so as to achieve the purpose of premonitory warning, to process the premonitory warning in advance, and to prevent the premonitory warning.
Disclosure of Invention
The invention aims to provide an intelligent identification premonitory warning system for potential safety hazards of a power transmission line, and aims to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme:
the utility model provides a transmission line potential safety hazard intelligent recognition aura warning system, installs the remote data acquisition end on the shaft tower including control end and a plurality of, the remote data acquisition end includes: data acquisition module, controller, alarm module, wireless communication module and power module, the control end includes: network module, database, data analysis module and interaction module, wherein:
the data acquisition module comprises a data acquisition module and a data acquisition module,
the image data acquisition submodule is used for acquiring real-time video images of the monitored power transmission line and the surrounding environment of the monitored power transmission line;
the electric data acquisition submodule is used for acquiring real-time electric data of the monitored power transmission line;
the environment data acquisition submodule is used for acquiring real-time environment data at the installation position of the remote data acquisition end;
the database includes a database of a plurality of databases,
the data storage unit is used for storing real-time data collected by a remote data collection end, and 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 preset normal operation data of the 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:
if 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 less than a preset threshold value, judging that the state of the power transmission line is normal in operation;
if 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, judging that the state of the power transmission line is abnormal in operation;
if 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, judging that the state of the power transmission line is to be manually confirmed;
if 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, judging that the state of the power transmission line is to be manually confirmed;
the data analysis module is also used for extracting a frame of picture in the real-time video image at regular time, carrying out image recognition on the frame of picture by adopting a trained image recognition neural network model and judging whether the state of the power transmission line has potential safety hazard;
the data analysis module is also used for sending an alarm to an operator on duty through the interaction module when the power transmission line is in an abnormal operation state and/or has potential safety hazards; and when the state of the power transmission line is to be manually confirmed, prompting related personnel to manually confirm and supplementing the normal operation database and the abnormal operation database through the interaction module.
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 the 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 charging the storage battery through the power management module, and 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.
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 a still further scheme of the invention: the alarm module comprises an audible and visual alarm and a high pitch loudspeaker, and the interaction module comprises a microphone, a mouse, a keyboard, a display and a loudspeaker.
As a still further scheme of the invention: the working method of the system comprises the following steps: the method comprises the following steps:
the method comprises the following steps: acquiring normal operation data of the 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 picture of the power transmission line with potential safety hazard to create a sample set, and completing training of an image recognition neural network model through the sample set;
step two: acquiring real-time data through a remote data acquisition end, and comparing the real-time data with normal operation data and abnormal operation data to judge the operation state of the power transmission line; extracting a frame of picture in the real-time video image according to a set interval time, carrying out image recognition on the frame of picture by adopting a trained image recognition neural network model, and judging whether the state of the power transmission line has potential safety hazard;
step three: and if the judgment result in the step two is abnormal operation and/or potential safety hazard, sending an alarm to the operator on duty through the interaction module, and if the judgment result in the step two is to be manually confirmed, prompting the operator on duty through the interaction module to manually confirm and supplement the normal operation database and the abnormal operation database.
Compared with the prior art, the invention has the beneficial effects that:
1. the remote data acquisition end in communication connection with the monitoring end is adopted to monitor the power transmission line in real time, so that the abnormal information and potential safety hazard of the line can be found in time, and the premonitory alarm is performed, so that the operation personnel can process the abnormal information and the potential safety hazard in advance, and the purpose of preventing the abnormal information and the potential safety hazard is achieved.
2. According to the method, the operation state judgment of the power transmission line is divided into normal operation, abnormal operation and waiting manual confirmation, so that the misjudgment probability can be reduced when the sample diversity of the normal operation database and the abnormal operation database is insufficient in the early stage of system operation, and meanwhile, the database samples are supplemented in time through the mode of manual examination and confirmation and database supplement, 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 around the monitored power transmission line perform operation, an operator on duty can shout through the cooperation of the microphone and the tweeter to remind the operator on site to keep away from the power transmission line, and when birds nest on the tower or the power transmission line, the bird nest can be driven through the audible and visual alarm and the tweeter, so that the power transmission line is prevented from being damaged by the birds, and the operator does not need to arrive at the site.
Drawings
Fig. 1 is a structural block diagram of an intelligent identification premonitory warning system for potential safety hazards of a power transmission line.
Fig. 2 is a structural block diagram of a database in an intelligent identification premonitory warning system for potential safety hazards of a power transmission line.
Fig. 3 is a structural block diagram of a data acquisition system in an intelligent identification premonitory warning system for potential safety hazards of a power transmission line.
Fig. 4 is a structural block diagram of a power supply module in an intelligent identification premonitory warning system for potential safety hazards of a power transmission line.
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects to be solved by the present invention more apparent, the present invention will be further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
It will be understood that when an element is referred to as being "secured to" 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 will be understood that the terms "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships that are based on the orientations or positional relationships shown in the drawings, are used merely to facilitate description of the present invention and to simplify description, and do not indicate or imply that the referenced devices or elements must have the particular orientations, configurations and operations described in the specification, and therefore are not to be considered limiting.
Furthermore, the terms "first", "second", "third" are used for descriptive purposes only and are not to be construed 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.
Referring to fig. 1 to 4, in an embodiment of the present invention, an intelligent transmission line potential safety hazard identification premonitory warning system includes a monitoring end and a plurality of remote data acquisition ends installed on a tower, where the remote data acquisition ends include: data acquisition module, controller, alarm module, wireless communication module and power module, the control end includes: network module, database, data analysis module and interaction module, wherein:
the data acquisition module comprises a data acquisition module and a data acquisition module,
the image data acquisition submodule is used for acquiring real-time video images of the monitored power transmission line and the surrounding environment of the monitored power transmission line;
the electric data acquisition submodule is used for acquiring real-time electric data of the monitored power transmission line;
the environment data acquisition submodule is used for acquiring real-time environment data at the installation position of the remote data acquisition end;
the database includes a database of a plurality of databases,
the data storage unit is used for storing real-time data collected by a remote data collection end, and 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 preset normal operation data of the 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:
if 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 less than a preset threshold value, judging that the state of the power transmission line is normal in operation;
if 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, judging that the state of the power transmission line is abnormal in operation;
if 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, judging that the state of the power transmission line is to be manually confirmed;
if 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, judging that the state of the power transmission line is to be manually confirmed;
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 the state of the power transmission line has potential safety hazard, wherein the potential safety hazard is characterized by comprising crane operation, tower crane operation, line smoking, line fire, tower inclination, line hanging foreign matter, tree obstacle needing to be cleaned, cable strand breakage, cable strand loosening, insulator damage, insulator missing, 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 power transmission line is in an abnormal operation state and/or has potential safety hazards; and when the state of the power transmission line is to be manually confirmed, prompting related personnel to manually confirm and supplementing the normal operation database and the abnormal operation database through the interaction module.
The image data acquisition submodule comprises a camera, the camera has the functions of remotely adjusting zooming and shooting angles in order to improve the image acquisition range of the image acquisition submodule, 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 the 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 by 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 fault, or the power taking module is used for charging when the illumination is insufficient, and the endurance of the remote data acquisition terminal 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.
Alarm module includes audible-visual annunciator and tweeter, mutual module includes microphone, mouse, keyboard, display, speaker, when crane, tower crane etc. appear around the transmission line of monitoring and carry out the operation, personnel on duty accessible microphone and tweeter's cooperation is shout, reminds on-the-spot personnel to keep away from the transmission line, when finding birds nest on shaft tower or transmission line, also can drive it through audible-visual annunciator and tweeter to prevent that the birds from suffering from causing the destruction to the transmission line.
The working method of the system comprises the following steps: the method comprises the following steps:
the method comprises the following steps: acquiring normal operation data of the 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 picture of the power transmission line with potential safety hazard to create a sample set, and completing training of an image recognition neural network model through the sample set;
step two: acquiring real-time data through a remote data acquisition end, and comparing the real-time data with normal operation data and abnormal operation data to judge the operation state of the power transmission line; extracting a frame of picture in the real-time video image according to a set interval time, carrying out image recognition on the frame of picture by adopting a trained image recognition neural network model, and judging whether the state of the power transmission line has potential safety hazard;
step three: and if the judgment result in the step two is abnormal operation and/or potential safety hazard, sending an alarm to the operator on duty through the interaction module, and if the judgment result in the step two is to be manually confirmed, prompting the operator on duty through the interaction module to manually confirm and supplement the normal operation database and the abnormal operation database.
Although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that various changes in the embodiments and/or modifications of the invention can be made, and equivalents and modifications of some features of the invention can be made without departing from the spirit and scope of the invention.
Claims (9)
1. The utility model provides a transmission line potential safety hazard intelligent recognition aura alarm system which characterized in that: install the remote data acquisition end on the shaft tower including control end and a plurality of, the remote data acquisition end includes: data acquisition module, controller, alarm module, wireless communication module and power module, the control end includes: network module, database, data analysis module and interaction module, wherein:
the data acquisition module comprises a data acquisition module and a data acquisition module,
the image data acquisition submodule is used for acquiring real-time video images of the monitored power transmission line and the surrounding environment of the monitored power transmission line;
the electric data acquisition submodule is used for acquiring real-time electric data of the monitored power transmission line;
the environment data acquisition submodule is used for acquiring real-time environment data at the installation position of the remote data acquisition end;
the database includes a database of a plurality of databases,
the data storage unit is used for storing real-time data collected by a remote data collection end, and 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 preset normal operation data of the 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:
if 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 less than a preset threshold value, judging that the state of the power transmission line is normal in operation;
if 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, judging that the state of the power transmission line is abnormal in operation;
if 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, judging that the state of the power transmission line is to be manually confirmed;
if 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, judging that the state of the power transmission line is to be manually confirmed;
the data analysis module is also used for extracting a frame of picture in the real-time video image at regular time, carrying out image recognition on the frame of picture by adopting a trained image recognition neural network model and judging whether the state of the power transmission line has potential safety hazard;
the data analysis module is also used for sending an alarm to an operator on duty through the interaction module when the power transmission line is in an abnormal operation state and/or has potential safety hazards; and when the state of the power transmission line is to be manually confirmed, prompting related personnel to manually confirm and supplementing the normal operation database and the abnormal operation database through the interaction module.
2. The intelligent identification premonitory warning system of transmission line potential safety hazard according to claim 1, characterized in that: the image data acquisition submodule comprises a camera.
3. The intelligent identification premonitory warning system of transmission line potential safety hazard according to claim 1, 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 the real-time temperature data of the power transmission line.
4. The intelligent identification premonitory warning system of transmission line potential safety hazard according to claim 1, characterized in that: the environment data acquisition submodule comprises a temperature sensor, a humidity sensor and a wind speed sensor.
5. The intelligent identification premonitory warning system of transmission line potential safety hazard according to claim 1, characterized in that: the power supply module comprises a storage battery.
6. The intelligent identification premonitory warning system of transmission line potential safety hazard according to claim 5, 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 charging the storage battery through the power management module, and 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.
7. The intelligent identification premonitory warning system of transmission line potential safety hazard according to claim 1, 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 identification premonitory warning system of transmission line potential safety hazard according to claim 1, characterized in that: the alarm module comprises an audible and visual alarm and a high pitch loudspeaker, and the interaction module comprises a microphone, a mouse, a keyboard, a display and a loudspeaker.
9. The intelligent identification premonitory warning system of transmission line potential safety hazard according to any one of claims 1-8, characterized in that: the working method of the system comprises the following steps: the method comprises the following steps:
the method comprises the following steps: acquiring normal operation data of the 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 picture of the power transmission line with potential safety hazard to create a sample set, and completing training of an image recognition neural network model through the sample set;
step two: acquiring real-time data through a remote data acquisition end, and comparing the real-time data with normal operation data and abnormal operation data to judge the operation state of the power transmission line; extracting a frame of picture in the real-time video image according to a set interval time, carrying out image recognition on the frame of picture by adopting a trained image recognition neural network model, and judging whether the state of the power transmission line has potential safety hazard;
step three: and if the judgment result in the step two is abnormal operation and/or potential safety hazard, sending an alarm to the operator on duty through the interaction module, and if the judgment result in the step two is to be manually confirmed, prompting the operator on duty through the interaction module to manually confirm and supplement the normal operation database and the abnormal operation database.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115173306A (en) * | 2022-07-26 | 2022-10-11 | 国网山东省电力公司海阳市供电公司 | Live working safety protection system and method for power transmission line |
| CN115173306B (en) * | 2022-07-26 | 2024-05-03 | 国网山东省电力公司海阳市供电公司 | Live working safety protection system and method for power transmission line |
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2021
- 2021-05-13 CN CN202110519663.4A patent/CN113467349A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115173306A (en) * | 2022-07-26 | 2022-10-11 | 国网山东省电力公司海阳市供电公司 | Live working safety protection system and method for power transmission line |
| CN115173306B (en) * | 2022-07-26 | 2024-05-03 | 国网山东省电力公司海阳市供电公司 | Live working safety protection system and method for power transmission line |
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