CN115273368A - Method, medium, equipment and system for warning invasion of vehicles in power transmission line corridor construction - Google Patents
Method, medium, equipment and system for warning invasion of vehicles in power transmission line corridor construction Download PDFInfo
- Publication number
- CN115273368A CN115273368A CN202210856920.8A CN202210856920A CN115273368A CN 115273368 A CN115273368 A CN 115273368A CN 202210856920 A CN202210856920 A CN 202210856920A CN 115273368 A CN115273368 A CN 115273368A
- Authority
- CN
- China
- Prior art keywords
- construction vehicle
- transmission line
- target
- pictures
- tower
- 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
- 238000010276 construction Methods 0.000 title claims abstract description 137
- 230000005540 biological transmission Effects 0.000 title claims abstract description 107
- 238000000034 method Methods 0.000 title claims abstract description 65
- 230000009545 invasion Effects 0.000 title abstract description 4
- 238000012544 monitoring process Methods 0.000 claims abstract description 14
- 230000007613 environmental effect Effects 0.000 claims description 25
- 238000012549 training Methods 0.000 claims description 20
- 238000013145 classification model Methods 0.000 claims description 18
- 238000004590 computer program Methods 0.000 claims description 16
- 238000006243 chemical reaction Methods 0.000 claims description 12
- 238000002372 labelling Methods 0.000 claims description 3
- 230000033001 locomotion Effects 0.000 claims description 2
- 238000012360 testing method Methods 0.000 claims description 2
- 239000000126 substance Substances 0.000 claims 1
- 238000004891 communication Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 6
- 238000012423 maintenance Methods 0.000 description 5
- 230000009286 beneficial effect Effects 0.000 description 3
- 238000007689 inspection Methods 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 238000006073 displacement reaction Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 239000004973 liquid crystal related substance Substances 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- 238000003491 array Methods 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000013135 deep learning Methods 0.000 description 1
- 238000013136 deep learning model Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
- G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
- G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
- G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
- G06V10/774—Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/41—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
- G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
- G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
- G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
- G08B13/19602—Image analysis to detect motion of the intruder, e.g. by frame subtraction
- G08B13/19606—Discriminating between target movement or movement in an area of interest and other non-signicative movements, e.g. target movements induced by camera shake or movements of pets, falling leaves, rotating fan
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
- G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
- G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
- G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
- G08B13/19602—Image analysis to detect motion of the intruder, e.g. by frame subtraction
- G08B13/19613—Recognition of a predetermined image pattern or behaviour pattern indicating theft or intrusion
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Multimedia (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Software Systems (AREA)
- Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Signal Processing (AREA)
- Computing Systems (AREA)
- Databases & Information Systems (AREA)
- Evolutionary Computation (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Computational Linguistics (AREA)
- Alarm Systems (AREA)
Abstract
The embodiment of the invention discloses a method, medium, equipment and system for warning invasion of construction vehicles in a power transmission line corridor, wherein the method comprises the following steps: acquiring a monitoring video shot by a camera arranged on a tower, wherein the tower is positioned in a power transmission line corridor; intercepting a plurality of pictures to be identified from a monitoring video according to a preset time interval; sequentially inputting a plurality of pictures to be identified into a target construction vehicle identification model to obtain a plurality of target pictures, wherein the target pictures comprise identification frames for identifying construction vehicles; determining the central point of the identification frame; determining a construction vehicle label according to preset characteristics in the identification frame; determining that the two target pictures adjacent in time have the same construction vehicle label, and calculating the moving distance of the construction vehicle according to the central points of the two target pictures adjacent in time; and when the moving distance is determined to be larger than the preset distance, outputting an intrusion alarm signal.
Description
Technical Field
The invention relates to the field of image monitoring of power transmission lines, in particular to a method, medium, equipment and system for warning invasion of construction vehicles in power transmission line corridors.
Background
In recent years, with the rapid development of economic society, power transmission lines play an important role in modern life, and therefore, prevention and control work for preventing external damage to power transmission lines is a long-term, difficult, and complicated work. Along with the continuous expansion of urban construction scale, the electric transmission line is damaged by external force, the accident event caused by the external force damage of the line in the past year accounts for 16-24% of the accident event of all equipment, and the work situation of preventing the external force damage is severe.
In the existing technology for preventing the external damage of the power transmission line, in order to effectively monitor the external damage event in real time, a scheme of monitoring and alarming in real time according to image video monitoring is generally adopted. However, in the image recognition scheme in the prior art, once the information such as the construction vehicle is recognized, the alarm is immediately sent, no consideration is given to whether the construction vehicle really threatens the power transmission line, and the situation that more invalid alarms occur, so that the burden of operation and maintenance personnel is greatly increased, and the operation and maintenance cost is not well reduced by the existing technology for preventing the power transmission line from being damaged by external force.
Disclosure of Invention
In view of the above, it is necessary to provide a method, a computer-readable storage medium, a computer device and a system for warning of intrusion of construction vehicles in power transmission line corridors.
A method for alarming intrusion of construction vehicles in a power transmission line corridor comprises the following steps:
acquiring a monitoring video shot by a camera arranged on a tower, wherein the tower is positioned in a power transmission line corridor;
intercepting a plurality of pictures to be identified from a monitoring video according to a preset time interval;
sequentially inputting a plurality of pictures to be identified into a target construction vehicle identification model to obtain a plurality of target pictures, wherein the target pictures comprise identification frames for identifying construction vehicles;
determining a central point of the identification frame;
determining a construction vehicle label according to preset characteristics in the identification frame;
determining that the two target pictures adjacent in time have the same construction vehicle label, and calculating the moving distance of the construction vehicle according to the central points of the two target pictures adjacent in time;
and when the moving distance is determined to be larger than the preset distance, outputting an intrusion alarm signal.
Optionally, before outputting the intrusion alert signal, the method further comprises:
acquiring environmental information of a pole tower, wherein the environmental information comprises the altitude, the gradient, the slope direction, surrounding buildings, road conditions and the trend of a power transmission line of the position of the pole tower;
inputting environmental information of the tower into a target risk classification model to obtain a risk classification result; and the number of the first and second groups,
and outputting an intrusion alarm signal according to the risk classification result.
Optionally, before the environmental information of the tower is input into the target risk classification model to obtain a risk classification result, the method further includes:
obtaining historical environment information;
dividing historical environment information into dangerous environment information and safe environment information;
and training the initial risk classification model by using the dangerous environment information and the safe environment information to obtain a target risk classification model.
Optionally, calculating a moving distance of the construction vehicle according to central points in two target pictures adjacent in time specifically includes:
calculating the distance between the central points of two target pictures adjacent in time;
obtaining a preset conversion ratio according to the environmental information of the tower; and the number of the first and second groups,
and obtaining the moving distance according to the distance of the central point and a preset conversion ratio.
Optionally, before the multiple images to be recognized are sequentially input into the target construction vehicle recognition model to obtain multiple target images, the method further includes:
acquiring a sample picture of a construction vehicle;
labeling the sample picture to obtain a training picture;
carrying out picture enhancement on the training picture to obtain an enhanced picture; and the number of the first and second groups,
and training the initial construction vehicle recognition model by using the enhanced picture to obtain a target construction vehicle recognition model.
Optionally, before the multiple pictures to be recognized are sequentially input into the target construction vehicle recognition model to obtain multiple target pictures, the method further includes:
obtaining the recall rate of the target construction vehicle identification model;
judging whether the recall rate reaches a preset standard or not; and the number of the first and second groups,
and when the recall rate reaches a preset standard, sequentially inputting the plurality of pictures to be recognized into the target construction vehicle recognition model.
Optionally, the recall ratio is calculated according to the following formula:
wherein R iseFor recall, STPNumber of samples true at risk, detected at risk, SFNNumber of samples truly at risk, detected as no risk.
A computer-readable storage medium, storing a computer program which, when executed by a processor, causes the processor to perform the steps of any of the methods described above.
A computer device comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to perform the steps of any of the methods described above.
A power transmission line corridor construction vehicle intrusion warning system comprises: camera and computer equipment as above-mentioned.
By adopting the embodiment of the invention, the following beneficial effects are achieved: the method comprises the steps of obtaining a monitoring video shot by a camera arranged on a tower, intercepting a picture to detect whether a construction vehicle appears near a power transmission line at intervals, and when the construction vehicle appears in a power transmission line corridor, not sending an alarm immediately, but determining the moving distance of the construction vehicle by comparing the position of the construction vehicle with the picture at the next moment, so as to confirm whether the construction vehicle entering the power transmission line corridor can really influence or destroy the power transmission line. This embodiment has increased the judgement to the displacement of the construction vehicle that appears in the transmission line, it just sends out and reports an emergency and asks for help or increased vigilance only because the construction vehicle appears in the surveillance video to have reduced, but the construction vehicle does not lead to the fact the condition of actual influence to the transmission line, the work load of invalid warning and the staff inspection circuit that leads to because invalid warning has been reduced, the accuracy of reporting an emergency and asking for help or increased vigilance in transmission line corridor vehicle intrusion has not only been promoted, staff's work efficiency has also been promoted, make the staff can the efficient handling transmission line of damage, the stability of maintenance transmission line.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Wherein:
FIG. 1 is a flow chart of a method for warning intrusion of construction vehicles in power transmission line hallways according to a first embodiment of the present invention;
FIG. 2 is a first sub-flowchart of a method for warning intrusion of construction vehicles into a power transmission line corridor according to a second embodiment of the present invention;
FIG. 3 is a sub-flowchart of a method for warning intrusion of construction vehicles into a power transmission line corridor according to a third embodiment of the present invention;
FIG. 4 is a second sub-flowchart of a method for warning intrusion into a construction vehicle in a power transmission line corridor according to a second embodiment of the present invention;
FIG. 5 is a sub-flowchart of a method for warning intrusion of construction vehicles into a power transmission line corridor according to a fourth embodiment of the present invention;
FIG. 6 is a sub-flowchart of a method for warning intrusion of construction vehicles into a power transmission line corridor according to a fifth embodiment of the present invention;
fig. 7 is a schematic view of a tower and a camera in a power transmission line corridor according to a first embodiment of the invention;
FIG. 8 is a diagram illustrating a picture to be recognized according to a first embodiment of the present invention;
FIG. 9 is a diagram illustrating a target picture according to a first embodiment of the present invention;
FIG. 10 is a schematic view of the center point of the recognition box according to the first embodiment of the present invention;
FIG. 11 is a block diagram showing an internal configuration of a computer device according to an embodiment.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this disclosure and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It is to be understood that, although the terms first, second, third, etc. may be used herein to describe various information, such information should not be limited by these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present invention. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
Please refer to fig. 1 in combination, which is a flowchart of a method for warning intrusion of a vehicle into a power transmission line corridor construction in a first embodiment, wherein the method for warning intrusion of a vehicle into a power transmission line corridor construction in the present embodiment specifically includes the following steps.
Step S101, a monitoring video shot by a camera arranged on a tower is obtained, and the tower is located in a power transmission line corridor. Please refer to fig. 7, which is a schematic diagram of a tower 700 and a camera 710 in a power transmission line corridor according to a first embodiment of the present invention. The camera 710 is installed at the upper end of the tower 700, so that the information around the tower can be monitored as much as possible, and the safety of a power transmission line corridor is ensured. In this embodiment, the position of the camera 710 on the tower 700 is only illustrated and not limited, and in practical application, the camera 710 may be disposed at any position of the tower 700 according to actual requirements.
And S102, intercepting a plurality of pictures to be identified from the monitoring video according to a preset time interval. In this embodiment, one picture to be recognized is captured from the monitoring video every 5min, and 288 pictures are captured by one camera 24 hours a day. In the present embodiment, the mentioned preset time is not limited by way of example.
And step S103, sequentially inputting the multiple pictures to be recognized into the target construction vehicle recognition model to obtain multiple target pictures, wherein the target pictures comprise recognition frames for recognizing construction vehicles. The engineering vehicles are more in types, and 1, heavy transport vehicles are common; 2. a large crane; 3. an excavator; 4. a bulldozer; 5. a road roller; 6. a loader; 7. engineering emergency vehicles, etc. These vehicles are bulky and have a high height which is likely to damage the lines in the power transmission line corridor. In the embodiment, taking a large crane as an example, please refer to fig. 8 and 9 in combination, and the picture 60 to be recognized is input into the recognition model of the target construction vehicle to obtain the target picture 61. The target picture 61 includes therein an identification frame 610 for identifying the construction vehicle and the construction vehicle 600.
And step S104, determining the center point of the identification frame. Please refer to fig. 10, which is a schematic diagram of a center point 620 of an identification frame according to a first embodiment of the present invention, in a scene with a display requirement, the center point 620 is shown in a picture as shown in fig. 10, and in a scene without a display requirement, it can be represented by an array or other feasible manners.
And step S105, determining the construction vehicle label according to the preset characteristics in the identification frame. The vehicle tag is used for identifying whether the construction vehicles in different target pictures are the same vehicle. In the present embodiment, the identification frame 610 includes the construction vehicle 600, and a unique tag of one construction vehicle 600 is calculated based on the pixel color of the construction vehicle 600 in the picture. The labels corresponding to different construction vehicles are different.
And S106, determining that the two target pictures adjacent in time have the same construction vehicle label, and calculating the moving distance of the construction vehicle according to the central points of the two target pictures adjacent in time. Specifically, the moving distance of the central point 620 in two target pictures which are adjacent in time, that is, in two target pictures with a time interval of 5min, is calculated.
And S107, outputting an intrusion alarm signal when the movement distance is determined to be greater than the preset distance. Specifically, whether the moving distance is larger than 500 meters or not is judged, and when the moving distance is larger than 500 meters, circuit maintenance personnel are reminded through a photoelectric alarm or other alarm modes, and the power transmission line corridor is dangerous for construction vehicles. In the present embodiment, the above-mentioned numerical values are only examples and are not limited.
The embodiment obtains the surveillance video shot by the camera arranged on the tower, monitors the whole condition of the power transmission line corridor, intercepts a picture as to detect whether a construction vehicle appears near the power transmission line or not at intervals, does not send an alarm immediately when the construction vehicle appears in the power transmission line corridor, but determines the moving distance of the construction vehicle by comparing the position of the construction vehicle with the picture at the next moment, thereby confirming whether the construction vehicle entering the power transmission line corridor can cause real influence or damage to the power transmission line or not, and influencing the stability of the power transmission line. This embodiment has increased the judgement to the displacement of the construction vehicle that appears in the transmission line, it just sends out and reports an emergency and asks for help or increased vigilance only because the construction vehicle appears in the surveillance video to have reduced, but the construction vehicle does not lead to the fact the condition of actual influence to transmission line, the extra work load of the staff's inspection circuit that leads to is reported an emergency and asked for help or increased vigilance to invalid warning has been reduced, transmission line corridor vehicle intrusion warning's accuracy has been promoted, staff's work efficiency has also been promoted, make the transmission line of handling damage that the staff can be high-efficient accurate, maintain transmission line's stability.
Please refer to fig. 2, which is a sub-flowchart of a method for warning intrusion of construction vehicles in power transmission line corridor according to a second embodiment of the present invention. The difference between the power transmission line corridor construction vehicle intrusion alarm method provided by the second embodiment and the power transmission line corridor construction vehicle intrusion alarm method provided by the first embodiment is that the power transmission line corridor construction vehicle intrusion alarm method provided by the second embodiment further includes the following steps before the intrusion alarm signal is output.
Step S201, obtaining environmental information of the tower. The environmental information comprises the altitude, the gradient, the slope direction, the surrounding buildings, the road condition and the trend of the power transmission line of the position where the tower is located. Specifically, the environment information of the tower includes an altitude where the tower is located, a gradient where the tower is located, a slope direction where the tower is located, the number of buildings around the tower, the type of buildings around the tower, and the like. In this embodiment, the altitude of the tower is 100 meters, the slope direction of the tower is 30 degrees, the slope direction of the tower is west, the number of buildings around the tower is 0, no buildings around the tower, no highways or railways, and the trend of the power transmission line is west.
And S202, inputting the environmental information of the tower into a target risk classification model to obtain a risk classification result. Specifically, when the altitude of the tower is 100 meters, the gradient of the tower is 30 degrees, the slope direction of the tower is west, the number of buildings around the tower is 0, no building exists around the tower, no highway or railway exists, and the trend of the power transmission line is west, the target risk classification model is input to obtain that the construction vehicle 600 runs, and the risk that the construction vehicle touches the power transmission line due to road conditions or shielding of buildings does not exist.
And step S203, outputting a danger signal according to the risk classification result. Specifically, danger signals are output through a computer display or other equipment, and circuit maintenance personnel are reminded that the power transmission line corridor has the danger that a construction vehicle contacts high voltage.
Above-mentioned embodiment, combine environmental factor to judge the influence that construction vehicle exists to the power transmission line on the power transmission line corridor, the influence that judgment construction vehicle that can be more accurate caused transmission line, pinpointing problem to promote maintainer's efficiency of solving transmission line, make transmission line can steady operation, guarantee everybody's normal life.
Please refer to fig. 3, which is a sub-flowchart of a method for warning intrusion of construction vehicles in power transmission line corridor according to a third embodiment of the present invention. The difference between the power transmission line corridor construction vehicle intrusion warning method provided by the third embodiment and the power transmission line corridor construction vehicle intrusion warning method provided by the first embodiment is that before the environmental information of the tower is input into the target risk classification model to obtain the risk classification result, the power transmission line corridor construction vehicle intrusion warning method provided by the third embodiment further comprises the following steps.
In step S301, history environment information is acquired. Specifically, historical environment information of a plurality of towers is obtained from a historical database. The historical environmental information comprises the altitude of the historical tower, the gradient of the tower, the slope direction of the tower, the number of buildings around the tower, the type of the buildings around the tower, road conditions, the trend of the power transmission line and the like.
Step S302, the historical environmental information is divided into dangerous environmental information and safe environmental information. Specifically, the dangerous environment information includes the situations that the number of buildings around the tower is larger than a preset value, the buildings around the tower are specific, a highway or a railway exists near the tower, and the transmission line crosses the area. In practical application, the information of the dangerous environment is specifically divided, and analysis is needed according to the local actual situation. The safety environment information comprises the conditions that the gradient of the tower is smaller than a preset value, no expressway or railway exists near the tower, no intersection exists in the area of the power transmission line, and the like. The construction vehicle can not influence the transmission line when running on a nearby road section. In practical application, the information of the dangerous environment is specifically divided, and analysis is needed according to the local actual situation.
Step S303, training an initial risk classification model by using the dangerous environment information and the safe environment information to obtain a target risk classification model. Specifically, the dangerous environment information and the safe environment information are arranged into training samples, and an initial risk classification model is trained to obtain a target risk classification model.
According to the embodiment, different conditions of different regions are made into training samples by using a deep learning algorithm, the initial risk classification model is trained, a large amount of training data can obtain a more accurate target risk classification model, the accuracy of the target risk classification model for identifying the environmental data is ensured, misjudgment caused by environmental reasons is reduced, and the accuracy of alarming is improved.
Please refer to fig. 4, which is a second sub-flowchart of the intrusion warning method for the construction vehicle in the power transmission line corridor according to the second embodiment of the present invention, wherein the method calculates the moving distance of the construction vehicle according to the central points of two target pictures adjacent in time, and specifically includes the following steps.
Step S401, calculating the distance between the central points in two target pictures adjacent in time. Specifically, the pixel distance of the central point in the two adjacent target pictures is calculated according to the pixel coordinates in the pictures.
And S402, obtaining a preset conversion ratio according to the environmental information of the tower. In practical application, the conversion ratios of different terrains, pixel distances and center points are different, for example, the conversion ratio at the position where the tower is located and the gradient of which is 0 is smaller than the conversion ratio at the position where the tower is located and the gradient of which is 30 degrees. In this embodiment, the position where the tower is located has a slope of 0 and a conversion ratio of 72 pixels/inch is adopted. The above-mentioned numerical values are only examples and are not limiting.
And S403, obtaining the moving distance according to the distance of the central point and a preset conversion ratio. Specifically, the actual moving distance of the construction vehicle within 5min is obtained by converting the distance of the central point by using a conversion ratio of 72 pixels/inch.
The embodiment of the invention has the following beneficial effects: different environments use different conversion proportions to more accurately obtain the actual moving distance of the construction vehicle, so that whether the construction vehicle really harms a new power transmission road is judged, and the accuracy of alarming is ensured.
Please refer to fig. 5, which is a sub-flowchart of a method for warning intrusion of construction vehicles in power transmission line corridor according to a fourth embodiment of the present invention. The difference between the electric transmission line corridor construction vehicle intrusion warning method provided by the fourth embodiment and the electric transmission line corridor construction vehicle intrusion warning method provided by the first embodiment is that before a plurality of pictures to be recognized are sequentially input into a target construction vehicle recognition model to obtain a plurality of target pictures, the electric transmission line corridor construction vehicle intrusion warning method provided by the fourth embodiment further comprises the following steps.
Step S501, a sample picture of the construction vehicle is acquired.
Step S502, labeling the sample picture to obtain a training picture.
Step S503, performing picture enhancement on the training picture to obtain an enhanced picture.
And step S504, training the initial construction vehicle identification model by using the enhanced picture to obtain a target construction vehicle identification model.
Specifically, pictures of vehicles such as heavy transport vehicles, large cranes, excavators, bulldozers, road rollers, loaders, engineering emergency trucks and the like which are common in life are selected. These vehicles are bulky and have a high height which can easily damage the lines in the power transmission line corridor. The vehicle in the picture is changed into a training picture through manual marking, the training picture is rotated, translated, scaled and the like to obtain enhanced pictures, and the number of the enhanced pictures is more than that of the training picture. And finally, training the initial construction vehicle recognition model by utilizing the enhanced picture to obtain a target construction vehicle recognition model.
According to the embodiment, the deep learning model is used for training the model specially used for identifying the construction vehicle, the calculation force is saved, and the identification speed is improved by colleagues.
Please refer to fig. 6, which is a sub-flowchart of a method for warning intrusion of construction vehicles in power transmission line corridor according to a fifth embodiment of the present invention. The intrusion warning method for the power transmission line corridor construction vehicle provided by the fifth embodiment is different from the intrusion warning method for the power transmission line corridor construction vehicle provided by the first embodiment in that the intrusion warning method for the power transmission line corridor construction vehicle provided by the fifth embodiment further comprises the following steps before a plurality of pictures to be recognized are sequentially input into the target construction vehicle recognition model to obtain a plurality of target pictures.
And S601, acquiring the recall rate of the target construction vehicle identification model. Specifically, the recall rate is calculated according to the following formula:
wherein R iseFor recall, STPNumber of true risk, test risk samples, SFNThe number of samples that are truly at risk and detected as non-at-risk.
Step S602, determining whether the recall rate meets a preset criterion. In this embodiment, the recall rate of 98% is the standard. The above-mentioned numerical values are only examples and are not limiting.
And step S603, when the recall rate reaches a preset standard, sequentially inputting a plurality of pictures to be recognized into the target construction vehicle recognition model.
This embodiment has increased this standard of recall rate of target construction vehicle identification model, thereby guarantee the accuracy of target construction vehicle identification model, it only sends out and reports an emergency and asks for help or increased vigilance because construction vehicle erroneous judgement to have reduced, but actually not construction vehicle, and do not lead to the fact the condition of actual influence to transmission line, the warning because of the mistake has been reduced, the work load of the inspection circuit of staff that leads to, the accuracy of reporting an emergency and asking for help or increased vigilance in the transmission line corridor has been promoted, staff's work efficiency has also been promoted, accurate handling damage transmission line, maintain transmission line's stability.
Embodiments of the present invention further provide a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the processor is enabled to execute the steps of any one of the above methods. In particular, the program may be stored in a non-volatile computer readable storage medium, and when executed, may include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), rambus (Rambus) direct RAM (RDRAM), direct Rambus Dynamic RAM (DRDRAM), and Rambus Dynamic RAM (RDRAM), among others.
Please refer to fig. 11, which is a schematic diagram illustrating an internal structure of a computer device according to an embodiment. The computer device 900 comprises a memory 910 and a processor 920, the memory 910 storing a computer program which, when executed by the processor, causes the processor 920 to perform the steps of any of the methods described above.
The computer device 900 also includes a processor 920, a memory 910, and a network interface 940 connected by a system bus 930. The memory 910 includes a nonvolatile storage medium and an internal memory. The non-volatile storage medium of the computer device 900 stores an operating system and may further store a computer program, and when the computer program is executed by the processor 920, the computer program may cause the processor 920 to implement the electric transmission line corridor construction vehicle intrusion warning method. The internal memory 910 may also store a computer program, and when the computer program is executed by a processor, the computer program may cause the processor to execute a method for warning of intrusion into a transmission line corridor construction vehicle.
The memory 910 includes at least one type of computer-readable storage medium including flash memory, hard disks, multimedia cards, card-type memory (e.g., SD or DX memory, etc.), magnetic memory, magnetic disks, optical disks, and the like. The memory 910 may be an internal storage unit of the computer device 900, such as a hard disk of the computer device 900, in some embodiments. The memory 910 may also be an external storage device of the computer device 900 in other embodiments, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital Card (SD), a Flash memory Card (Flash Card), etc. provided on the computer device 900. Further, the memory 910 may also include both internal and external storage for the computer device 900. The memory 910 may be used not only to store application software installed in the computer apparatus 900 and various types of data, such as a computer program of the transmission line corridor construction vehicle intrusion alert method, etc., but also to temporarily store data that has been output or will be output, such as data generated by execution of the transmission line corridor construction vehicle intrusion alert method, etc. Processor 920 may be a Central Processing Unit (CPU) in some possible embodiments, but may also be other general purpose processors, digital Signal Processors (DSPs), application Specific Integrated Circuits (ASICs), field Programmable Gate Arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
Specifically, the processor 920 executes a computer program of the transmission line corridor construction vehicle intrusion alert method to control the computer apparatus 900 to implement the transmission line corridor construction vehicle intrusion alert method.
Further, the computer device 900 may further include a system bus 930 that may be a Peripheral Component Interconnect (PCI) standard bus or an Extended Industry Standard Architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 11, but this is not intended to represent only one bus or type of bus.
In other possible embodiments, computer device 900 may also include a display component (not shown). The display component can be an LED (Light Emitting Diode) display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch panel, and the like. The display component, which may also be referred to as a display device or display unit, is used for displaying information processed in the computer apparatus 900 and for displaying a visualized user interface, among other things.
In other possible embodiments, the computer device 900 may further include a communication component (not shown), which may optionally include a wired communication component and/or a wireless communication component (e.g., a WI-FI communication component, a bluetooth communication component, etc.), typically used to establish a communication connection between the computer device 900 and another device, such as a communication connection between the computer device 900 and a waveform display device.
While fig. 11 shows only a computer device 900 having components 910-940 and implementing a transmission line corridor construction vehicle intrusion alert method, those skilled in the art will appreciate that the configuration shown in fig. 11 does not constitute a limitation of the computer device 900, and may include fewer or more components than shown, or some components in combination, or a different arrangement of components. Since the computer device 900 adopts all technical solutions of all the embodiments described above, at least all the advantages brought by the technical solutions of the embodiments described above are achieved, and are not described herein again.
In addition, the method of the invention can also be realized as a power transmission line corridor construction vehicle intrusion warning system, which comprises a camera and the computer equipment, wherein the camera is connected with a processor of the computer equipment and is used for sending the monitoring video shot by the camera to the processor so as to enable the processor to execute the power transmission line corridor construction vehicle intrusion warning method. The computer device includes computer program code instructions for carrying out some or all of the steps of the above-described method of the present invention. Since the computer device adopts all technical solutions of all the above embodiments, it at least has all the beneficial effects brought by the technical solutions of the above embodiments, and details are not repeated here.
All possible combinations of the technical features in the above embodiments may not be described for the sake of brevity, but should be considered as being within the scope of the present disclosure as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A method for alarming intrusion of construction vehicles in a power transmission line corridor is characterized by comprising the following steps:
acquiring a monitoring video shot by a camera arranged on a tower, wherein the tower is positioned in a power transmission line corridor;
intercepting a plurality of pictures to be identified from the monitoring video according to a preset time interval;
sequentially inputting the multiple pictures to be identified into a target construction vehicle identification model to obtain multiple target pictures, wherein the target pictures comprise identification frames for identifying construction vehicles;
determining a center point of the identification frame;
determining a construction vehicle label according to preset characteristics in the identification frame;
determining that the two target pictures adjacent in time have the same construction vehicle label, and calculating the movement distance of the construction vehicle according to the central points of the two target pictures adjacent in time;
and when the moving distance is determined to be larger than the preset distance, outputting an intrusion alarm signal.
2. The electric transmission line corridor construction vehicle intrusion alarm method according to claim 1, further comprising, before outputting the intrusion alarm signal:
acquiring environmental information of the pole tower, wherein the environmental information comprises the altitude, the gradient, the slope direction, surrounding buildings, road conditions and the trend of a power transmission line of the position of the pole tower;
inputting the environmental information of the tower into a target risk classification model to obtain a risk classification result; and (c) a second step of,
and outputting a danger signal according to the risk classification result.
3. The method for alarming intrusion of vehicle in construction of corridor of electric transmission line according to claim 2, wherein before inputting environmental information of said tower into target risk classification model to obtain risk classification result, further comprising:
acquiring historical environment information;
dividing the historical environmental information into dangerous environmental information and safe environmental information;
and training an initial risk classification model by using the dangerous environment information and the safe environment information to obtain the target risk classification model.
4. The electric transmission line corridor construction vehicle intrusion warning method according to claim 1, wherein the moving distance of the construction vehicle is calculated according to the central points in the two target pictures adjacent in time, and specifically comprises the following steps:
calculating the distance between the central points of the two target pictures adjacent in time;
obtaining the preset conversion ratio according to the environmental information of the tower; and the number of the first and second groups,
and obtaining the moving distance according to the distance of the central point and the preset conversion ratio.
5. The electric transmission line corridor construction vehicle intrusion warning method according to claim 1, wherein before the plurality of pictures to be recognized are sequentially input into the target construction vehicle recognition model to obtain a plurality of target pictures, the method further comprises:
acquiring a sample picture of the construction vehicle;
labeling the sample picture to obtain a training picture;
performing picture enhancement on the training picture to obtain an enhanced picture; and the number of the first and second groups,
and training an initial construction vehicle identification model by using the enhanced picture to obtain the target construction vehicle identification model.
6. The electric transmission line corridor construction vehicle intrusion warning method according to claim 5, wherein before the plurality of pictures to be recognized are sequentially input into the target construction vehicle recognition model to obtain a plurality of target pictures, the method further comprises:
obtaining the recall rate of the target construction vehicle identification model;
judging whether the recall rate reaches a preset standard or not; and the number of the first and second groups,
and when the recall rate reaches the preset standard, sequentially inputting the plurality of pictures to be recognized into the target construction vehicle recognition model.
7. The electric transmission line corridor construction vehicle intrusion alarm method according to claim 6, wherein the recall rate is calculated according to the following formula:
wherein the content of the first and second substances,Rein order to achieve the rate of recall,STPfor the number of samples that are truly at risk and that are also at risk for testing,SFNnumber of samples truly at risk, detected as no risk.
8. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, causes the processor to carry out the steps of the method according to any one of claims 1 to 7.
9. A computer device comprising a memory and a processor, characterized in that the memory stores a computer program which, when executed by the processor, causes the processor to carry out the steps of the method according to any one of claims 1 to 7.
10. An electric transmission line corridor construction vehicle intrusion warning system, characterized in that, the system includes: a camera and a computer device according to claim 9, the camera being connected to the processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210856920.8A CN115273368A (en) | 2022-07-20 | 2022-07-20 | Method, medium, equipment and system for warning invasion of vehicles in power transmission line corridor construction |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210856920.8A CN115273368A (en) | 2022-07-20 | 2022-07-20 | Method, medium, equipment and system for warning invasion of vehicles in power transmission line corridor construction |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115273368A true CN115273368A (en) | 2022-11-01 |
Family
ID=83766186
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210856920.8A Pending CN115273368A (en) | 2022-07-20 | 2022-07-20 | Method, medium, equipment and system for warning invasion of vehicles in power transmission line corridor construction |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115273368A (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110147757A (en) * | 2019-05-17 | 2019-08-20 | 国网山东省电力公司菏泽供电公司 | Passway for transmitting electricity engineering truck discrimination method and system based on convolutional neural networks |
| CN111325988A (en) * | 2020-03-10 | 2020-06-23 | 北京以萨技术股份有限公司 | Real-time red light running detection method, device and system based on video and storage medium |
| CN111784954A (en) * | 2020-07-09 | 2020-10-16 | 国网江苏省电力有限公司无锡供电分公司 | Overhead transmission line external damage prevention alarm device and method |
| CN113705495A (en) * | 2021-09-01 | 2021-11-26 | 南京慧尔视智能科技有限公司 | Large and small vehicle classification method and device based on target identification frame |
| CN113989321A (en) * | 2021-09-10 | 2022-01-28 | 浙江大华技术股份有限公司 | Intrusion detection method, device and system and computer storage medium |
| CN114332153A (en) * | 2021-12-28 | 2022-04-12 | 京东方科技集团股份有限公司 | Vehicle speed detection and collision early warning method and electronic equipment |
| CN114419537A (en) * | 2021-12-17 | 2022-04-29 | 广东电网有限责任公司 | Power transmission line warning method and device based on deep learning |
| CN114494955A (en) * | 2022-01-20 | 2022-05-13 | 深圳市瑞驰信息技术有限公司 | Regional intrusion detection method and system based on video data and electronic equipment |
-
2022
- 2022-07-20 CN CN202210856920.8A patent/CN115273368A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110147757A (en) * | 2019-05-17 | 2019-08-20 | 国网山东省电力公司菏泽供电公司 | Passway for transmitting electricity engineering truck discrimination method and system based on convolutional neural networks |
| CN111325988A (en) * | 2020-03-10 | 2020-06-23 | 北京以萨技术股份有限公司 | Real-time red light running detection method, device and system based on video and storage medium |
| CN111784954A (en) * | 2020-07-09 | 2020-10-16 | 国网江苏省电力有限公司无锡供电分公司 | Overhead transmission line external damage prevention alarm device and method |
| CN113705495A (en) * | 2021-09-01 | 2021-11-26 | 南京慧尔视智能科技有限公司 | Large and small vehicle classification method and device based on target identification frame |
| CN113989321A (en) * | 2021-09-10 | 2022-01-28 | 浙江大华技术股份有限公司 | Intrusion detection method, device and system and computer storage medium |
| CN114419537A (en) * | 2021-12-17 | 2022-04-29 | 广东电网有限责任公司 | Power transmission line warning method and device based on deep learning |
| CN114332153A (en) * | 2021-12-28 | 2022-04-12 | 京东方科技集团股份有限公司 | Vehicle speed detection and collision early warning method and electronic equipment |
| CN114494955A (en) * | 2022-01-20 | 2022-05-13 | 深圳市瑞驰信息技术有限公司 | Regional intrusion detection method and system based on video data and electronic equipment |
Non-Patent Citations (2)
| Title |
|---|
| 徐振磊，等: "基于图像识别技术的输电线路智能监控系统应用", 计算机系统应用, no. 01 * |
| 闫春江，等: "基于深度学习的输电线路工程车辆入侵检测", 信息技术, no. 07 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20220177005A1 (en) | Method for checking a surroundings detection sensor of a vehicle and method for operating a vehicle | |
| CN112017478B (en) | Bridge monitoring anti-collision early warning method and system, computer equipment and storage medium | |
| KR102550707B1 (en) | Method for landslide crack detection based deep learning and Method for landslide monitoring therewith and Apparatus thereof | |
| CN113139482A (en) | Method and device for detecting traffic abnormity | |
| CN115979337B (en) | Intelligent building site-oriented safety monitoring cloud platform | |
| CN112562406B (en) | Method and device for identifying off-line driving | |
| US20230260338A1 (en) | Deterioration diagnosis system, deterioration diagnosis device, deterioration diagnosis method, and recording medium | |
| CN115546628A (en) | Hydraulic engineering dam crack monitoring method, device, equipment and medium | |
| CN115759868A (en) | Forest inspection personnel management method, intelligent terminal and storage medium | |
| US20120257052A1 (en) | Electronic device and method for detecting abnormities of image capturing device | |
| CN111540194B (en) | Vehicle monitoring data processing method and device, computer equipment and storage medium | |
| CN115273368A (en) | Method, medium, equipment and system for warning invasion of vehicles in power transmission line corridor construction | |
| JP7348575B2 (en) | Deterioration detection device, deterioration detection system, deterioration detection method, and program | |
| CN115810132B (en) | Crack orientation identification method, device, equipment and storage medium | |
| CN116524539A (en) | Collaborative sensing method for interaction risk of signalers and drivers | |
| CN110996053B (en) | Environment safety detection method and device, terminal and storage medium | |
| CN113077658B (en) | Method, system, computer device and storage medium for basin management | |
| CN115497242A (en) | Intelligent monitoring system and monitoring method for foreign matter invasion in railway business line construction | |
| CN113378450A (en) | Intelligent water affair simulation analysis early warning method, system, electronic equipment and medium | |
| CN113570622A (en) | Obstacle determination method and device, electronic equipment and storage medium | |
| CN114093155A (en) | Traffic accident responsibility tracing method and device, computer equipment and storage medium | |
| CN111612111A (en) | Mobile inspection monitoring device | |
| US20240096100A1 (en) | Method and apparatus for identifying falling object based on lidar system, and readable storage medium | |
| CN118053083A (en) | Method and system for inspecting traffic installation | |
| CN116958684A (en) | Road abnormality detection method, model training method and related devices |
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 |