CN117456206A - Overhead line external-breakage early warning method, system and equipment - Google Patents
Overhead line external-breakage early warning method, system and equipment Download PDFInfo
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Abstract
The invention discloses an overhead line external damage early warning method, system and equipment, which relate to the technical field of external damage early warning, and are characterized in that when images to be analyzed and distance values acquired by all external damage bird-driving devices are received, image preprocessing operation is carried out on the images to be analyzed, target analysis images are generated, corresponding characteristic character strings are generated according to the target analysis images and a preset external damage database, the distance values are input into a preset evaluation database, corresponding similar threshold values are matched, corresponding early warning analysis results are generated according to comparison results of the similar threshold values associated with the characteristic character strings, and the external damage bird-driving devices are controlled to execute corresponding early warning operation according to the early warning analysis results. The technical problems that the number of overhead lines is numerous, the neural network model structure is complex, and real-time monitoring and early warning of the overhead lines cannot be realized are solved.
Description
Technical Field
The invention relates to the technical field of external damage early warning, in particular to an overhead line external damage early warning method, system and equipment.
Background
Overhead lines are an important component of an electrical power system as important channels and carriers for power transmission. However, accidents such as short circuit and tripping caused by illegal construction or bird nesting in dangerous areas near the overhead line frequently occur, and the safety of a power system is seriously affected, so that the outside of the overhead line needs to be monitored to prevent the outside from damaging the overhead line.
At present, monitoring and early warning of overhead lines are realized by deploying monitoring equipment on overhead lines and analyzing images acquired by the monitoring equipment by utilizing a preset neural network model, but because the number of overhead lines is numerous, and the neural network model has a complex structure, real-time monitoring and early warning of the overhead lines cannot be realized.
Disclosure of Invention
The invention provides an overhead line external damage early warning method, system and equipment, which solve the technical problems that the monitoring and early warning of overhead lines are realized by analyzing images acquired by monitoring equipment by using a preset neural network model, but the real-time monitoring and early warning of the overhead lines cannot be realized due to the fact that the number of the overhead lines is numerous and the neural network model has a complex structure.
The invention provides an overhead line external damage early warning method, which relates to an overhead line to be analyzed, wherein a plurality of external damage bird repelling devices are arranged on the overhead line to be analyzed, and the method comprises the following steps:
when receiving the images to be analyzed and the distance values acquired by the external-damage bird-scaring devices, performing image preprocessing operation on the images to be analyzed to generate target analysis images;
generating a corresponding characteristic character string according to the target analysis image and a preset external broken database;
inputting the distance value into a preset evaluation database, and matching the distance value with a corresponding similarity threshold;
generating corresponding early warning analysis results according to the comparison results of the characteristic strings and the similarity threshold associated with the characteristic strings;
and controlling the external-damage bird repellent device to execute corresponding early warning operation according to the early warning analysis result.
Optionally, the step of performing image preprocessing operation on the image to be analyzed to generate a target analysis image includes:
scaling the image to be analyzed based on preset proportion parameters to generate a corresponding characteristic analysis image;
and performing binarization processing on the characteristic analysis image to generate a target analysis image.
Optionally, the step of generating the corresponding feature string according to the target analysis image and a preset external broken database includes:
calculating the number of similar point bits between the target analysis image and a characteristic image of a preset external broken database;
determining the maximum number of similar point bits as a number of target point bits, and extracting a feature identifier of a feature image corresponding to the number of target point bits;
and carrying out feature marking operation on the target point digit by adopting the feature identifier to generate a corresponding feature character string.
Optionally, the step of generating a corresponding early warning analysis result according to the comparison result of each feature string and the similarity threshold associated with the feature string includes:
judging whether the number of target point bits of each characteristic character string is larger than or equal to a similarity threshold value associated with the characteristic character string;
if any target point bit number is smaller than the similarity threshold value associated with the characteristic character string, generating a first early warning analysis result without risk of external damage;
if the number of the target point digits is larger than or equal to the similarity threshold value associated with the characteristic character string, determining the maximum number of the target point digits as the number of the early warning points, and extracting the early warning identification of the characteristic character string associated with the number of the early warning points;
when the early warning mark is a first early warning mark, a second early warning analysis result with bird damage is generated;
and when the early warning mark is the second early warning mark, generating a third early warning analysis result with construction damage.
Optionally, the step of controlling the external-damage bird repellent device to perform corresponding early warning operation according to the early warning analysis result includes:
when the early warning analysis result is a first early warning analysis result, the external-broken bird repellent device is controlled to continuously collect images to be analyzed;
when the early warning analysis result is a second early warning analysis result, controlling the ultrasonic element of the external-damage bird-driving device to start;
and when the early warning analysis result is a third early warning analysis result, controlling an alarm of the external-damage bird repellent device to be started.
The invention provides an overhead line external damage early warning system, which relates to an overhead line to be analyzed, wherein a plurality of external damage bird repelling devices are arranged on the overhead line to be analyzed, and the external damage early warning system comprises:
the image processing module is used for carrying out image preprocessing operation on the images to be analyzed when receiving the images to be analyzed and the distance values acquired by the external-damage bird repellent devices, and generating a target analysis image;
the characteristic character module is used for generating a corresponding characteristic character string according to the target analysis image and a preset external broken database;
the matching module is used for inputting the distance value into a preset evaluation database and matching a corresponding similarity threshold value;
the early warning analysis module is used for generating corresponding early warning analysis results according to the comparison results of the characteristic character strings and the similar threshold values associated with the characteristic character strings;
and the execution module is used for controlling the external-damage bird repellent device to execute corresponding early warning operation according to the early warning analysis result.
Optionally, the feature character module includes:
the comparison sub-module is used for calculating the number of similar points between the target analysis image and the characteristic image of the preset external broken database;
the selecting sub-module is used for determining the maximum similar point digit as a target point digit and extracting a characteristic identifier of a characteristic image corresponding to the target point digit;
and the characteristic character acquisition sub-module is used for carrying out characteristic marking operation on the target point digit by adopting the characteristic identifier to generate a corresponding characteristic character string.
Optionally, the early warning analysis module includes:
the first analysis submodule is used for judging whether the number of target point bits of each characteristic character string is larger than or equal to a similarity threshold value associated with the characteristic character string;
if any target point bit number is smaller than the similarity threshold value associated with the characteristic character string, generating a first early warning analysis result without risk of external damage;
the second analysis submodule is used for determining the maximum number of the target point digits as the number of the early warning points and extracting the early warning identification of the characteristic character string associated with the number of the early warning points if the number of the target point digits is larger than or equal to the similarity threshold value associated with the characteristic character string;
when the early warning mark is a first early warning mark, a second early warning analysis result with bird damage is generated;
and when the early warning mark is the second early warning mark, generating a third early warning analysis result with construction damage.
Optionally, the execution module includes:
the first control sub-module is used for controlling the external-damage bird-scaring device to continuously collect images to be analyzed when the early-warning analysis result is a first early-warning analysis result;
the second control sub-module is used for controlling the starting of the ultrasonic element of the external-damage bird-repellent device when the early-warning analysis result is a second early-warning analysis result;
and the third control sub-module is used for controlling the alarm of the external-damage bird repellent device to be started when the early-warning analysis result is the third early-warning analysis result.
The electronic device provided in the third aspect of the present invention includes a memory and a processor, where the memory stores a computer program, and when the computer program is executed by the processor, the processor is caused to execute the steps of the overhead line external damage early warning method described above.
From the above technical scheme, the invention has the following advantages:
when the images to be analyzed and the distance values acquired by the external damage bird repellent devices are received, carrying out image preprocessing operation on the images to be analyzed, generating target analysis images, generating corresponding characteristic character strings according to the target analysis images and a preset external damage database, inputting the distance values into a preset evaluation database, matching corresponding similarity threshold values, generating corresponding early warning analysis results according to comparison results of the similarity threshold values associated with the characteristic character strings, and controlling the external damage bird repellent devices to execute corresponding early warning operation according to the early warning analysis results. The technical problems that the number of overhead lines is numerous, the neural network model structure is complex, and real-time monitoring and early warning of the overhead lines cannot be realized are solved. The real-time monitoring and early warning of the overhead line are realized by converting images to be analyzed in different directions into binary images, inputting the binary images into an external damage database to calculate corresponding characteristic character strings, and matching corresponding early warning analysis results based on a plurality of characteristic character strings.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the invention, and that other drawings can be obtained from these drawings without inventive faculty for a person skilled in the art.
Fig. 1 is a step flowchart of an overhead line external-break early warning method according to a first embodiment of the present invention;
fig. 2 is a step flowchart of an overhead line external-breaking early warning method according to a second embodiment of the present invention;
fig. 3 is a block diagram of an overhead line external-breaking early warning system according to a third embodiment of the present invention.
Detailed Description
The embodiment of the invention provides an overhead line external damage early warning method, system and equipment, which are used for solving the technical problems that the monitoring and early warning of overhead lines are realized by analyzing images acquired by monitoring equipment by using a preset neural network model, but the real-time monitoring and early warning of the overhead lines cannot be realized due to the fact that the number of the overhead lines is numerous and the neural network model has a complex structure.
In order to make the objects, features and advantages of the present invention more comprehensible, the technical solutions in the embodiments of the present invention are described in detail below with reference to the accompanying drawings, and it is apparent that the embodiments described below are only some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, fig. 1 is a flowchart illustrating steps of an overhead line external damage early warning method according to an embodiment of the present invention.
The invention provides an overhead line external damage early warning method, which relates to an overhead line to be analyzed, wherein a plurality of external damage bird repelling devices are arranged on the overhead line to be analyzed, and the method comprises the following steps:
and step 101, when receiving the images to be analyzed and the distance values acquired by the external-damage bird repellent devices, performing image preprocessing operation on the images to be analyzed to generate target analysis images.
The target analysis image refers to a binarized image obtained by performing image preprocessing operation on an image to be analyzed.
The image preprocessing operation refers to the steps of collecting an image to be analyzed, reducing the size, and converting the image to be analyzed with the reduced size into a binary image.
In the embodiment of the invention, when suspected foreign objects invade, 3 external damage bird repellent devices closest to the foreign objects collect images to be analyzed and distance values at the current moment, and when the images to be analyzed and the distance values collected by the external damage bird repellent devices are received, image preprocessing operation is carried out on the images to be analyzed, so that a target analysis image is generated.
After the image to be analyzed is subjected to image preprocessing operation, details of the image are removed, only basic information such as structures, brightness and the like is reserved, and image differences caused by different sizes and proportions are abandoned.
Step 102, generating a corresponding characteristic character string according to the target analysis image and a preset external broken database.
In the embodiment of the invention, the number of similar point bits between the target analysis image and the characteristic image in the preset external broken database is calculated one by one, the characteristic image corresponding to the target analysis image is matched, and the corresponding characteristic character string is generated according to the number of similar point bits and the characteristic identification of the characteristic image.
Step 103, inputting the distance value into a preset evaluation database, and matching the distance value with a corresponding similarity threshold.
In the embodiment of the invention, the distance values are input into a preset evaluation database, and the similarity threshold corresponding to each distance value is matched.
It should be noted that, the similarity threshold set by the evaluation database needs to be determined according to a preset scaling ratio.
And 104, generating a corresponding early warning analysis result according to the comparison result of each characteristic character string and the similar threshold value associated with the characteristic character string.
In the embodiment of the invention, whether each characteristic string is larger than or equal to the similarity threshold value associated with the characteristic string is judged, if the similarity point number of any characteristic string is smaller than the similarity threshold value associated with the characteristic string, an early warning analysis result without risk of external damage is generated, and if the similarity point number of each characteristic string is larger than or equal to the similarity threshold value associated with the characteristic string, whether bird damage or construction damage is judged according to the characteristic identification of the characteristic string with the largest similarity point number, and a corresponding early warning analysis result is generated according to the type of external damage.
And 105, controlling the external damage bird repellent device to execute corresponding early warning operation according to the early warning analysis result.
In the embodiment of the invention, when the early warning analysis result is that the external damage risk is avoided, the external damage bird repellent device does not act, the image of the overhead line is continuously collected, the ultrasonic element of the external damage bird repellent device is controlled to be started when the early warning analysis result is that the bird damage is caused, and the alarm of the external damage bird repellent device is controlled to be started when the early warning analysis result is that the construction damage is caused.
In the embodiment of the invention, when the image to be analyzed and the distance value acquired by each external damage bird repellent device are received, image preprocessing operation is carried out on the image to be analyzed, a target analysis image is generated, a corresponding characteristic character string is generated according to the target analysis image and a preset external damage database, the distance value is input into a preset evaluation database, a corresponding similarity threshold value is matched, a corresponding early warning analysis result is generated according to a comparison result of the similarity threshold values associated with each characteristic character string and the characteristic character string, and the external damage bird repellent device is controlled to execute corresponding early warning operation according to the early warning analysis result. The technical problems that the number of overhead lines is numerous, the neural network model structure is complex, and real-time monitoring and early warning of the overhead lines cannot be realized are solved. The real-time monitoring and early warning of the overhead line are realized by converting images to be analyzed in different directions into binary images, inputting the binary images into an external damage database to calculate corresponding characteristic character strings, and matching corresponding early warning analysis results based on a plurality of characteristic character strings.
Referring to fig. 2, fig. 2 is a flowchart illustrating steps of an overhead line external damage early warning method according to a second embodiment of the present invention.
The invention provides an overhead line external damage early warning method, which relates to an overhead line to be analyzed, wherein a plurality of external damage bird repelling devices are arranged on the overhead line to be analyzed, and the method comprises the following steps:
it is worth mentioning that the outer broken bird repellent device matches the mounting tool of customization, utilizes the insulating rod alright realize electrified installation, need not to climb alright accomplish the installation, and installation time is short.
And 201, when receiving the images to be analyzed and the distance values acquired by the external-damage bird repellent devices, performing image preprocessing operation on the images to be analyzed to generate target analysis images.
Further, step 201 comprises the sub-steps of:
and S11, when receiving the images to be analyzed and the distance values acquired by the external damage bird repellent devices, scaling the images to be analyzed based on preset scale parameters to generate corresponding characteristic analysis images.
In the embodiment of the invention, when the images to be analyzed and the distance values acquired by each external-damage bird repellent device are received, scaling processing is carried out on the images to be analyzed according to 10 multiplied by 10 scale parameters, and corresponding characteristic analysis images are generated.
The ratio parameters may be 8×8, 9×9, 10×10, or the like.
It should be noted that, the external broken bird repellent device adopts the three integrated power supply modes of wire CT induction self-electricity taking + solar energy + battery power supply, and the power supply mode is nimble, as long as cable current is greater than 7A, super capacitor can begin to charge, even the circuit has a power failure also can be in stable power supply work in certain time, ensures the long-term work of device.
S12, binarizing the characteristic analysis image to generate a target analysis image.
In the embodiment of the invention, the characteristic analysis image is processed by edge operators such as Canny, laplacian and the like, and a binary image is generated as a target analysis image.
And 202, calculating the number of similarity points between the target analysis image and the characteristic image of the preset external damage database.
The number of similar points refers to points with similar black and white point arrangement between the target analysis image and the characteristic image.
In the embodiment of the invention, the number of similar point bits between the target analysis image and each characteristic image in the external damage database is calculated.
And 203, determining the maximum similarity point bit number as a target point bit number, and extracting the feature identification of the feature image corresponding to the target point bit number.
In the embodiment of the invention, the maximum number of similar point bits is determined as the number of target point bits, and the feature identification of the target point bit associated feature image is extracted.
It should be noted that, the type of the outer break is marked in each characteristic image, and is represented by 1 and 0, 1 is the bird damage outer break, and 0 is the construction outer break.
And 204, performing feature marking operation on the target point digit by adopting the feature identifier to generate a corresponding feature character string.
In the embodiment of the invention, the feature identification is adopted to perform feature marking operation on the target point digit to generate a corresponding feature character string, for example, when the feature identification is 0, the feature marking operation is performed on the target point digit 100 to generate the corresponding feature character string of 0.100.
Step 205, inputting the distance value into a preset evaluation database, and matching the distance value with a corresponding similarity threshold.
In the embodiment of the invention, the distance value associated with each image to be analyzed is input into a preset evaluation database, and the corresponding similarity threshold value is matched.
And 206, generating a corresponding early warning analysis result according to the comparison result of each characteristic character string and the similar threshold value associated with the characteristic character string.
Further, step 206 comprises the sub-steps of:
s21, judging whether the number of target point bits of each characteristic string is larger than or equal to a similarity threshold associated with the characteristic string.
In the embodiment of the invention, whether the number of the target point bits of the three characteristic strings is larger than or equal to the similarity threshold associated with the characteristic strings is respectively judged.
S22, if any target point digit is smaller than a similar threshold value associated with the characteristic character string, generating a first early warning analysis result without risk of external damage.
In the embodiment of the invention, when the number of digits of any one target point is smaller than the similar threshold value associated with the characteristic character string, the risk of external damage is indicated, and a first early warning analysis result without the risk of external damage is generated.
S23, if the number of the target point digits is larger than or equal to the similarity threshold value associated with the feature character string, determining the maximum number of the target point digits as the number of the early warning points, and extracting the early warning identification of the feature character string associated with the number of the early warning points.
In the embodiment of the invention, when the digits of the three target points are all larger than or equal to the similar threshold value associated with the feature character string, the maximum digits of the target points are determined as the digits of the early warning points, and the early warning identification of the feature character string associated with the digits of the early warning points is extracted. For example, the characteristic string is 1.90, and the early warning mark is 1.
And S24, when the early warning mark is the first early warning mark, generating a second early warning analysis result of bird damage.
In the embodiment of the invention, when the early warning mark is 1, a second early warning analysis result with bird damage is generated.
And S25, when the early warning mark is the second early warning mark, generating a third early warning analysis result with construction damage.
In the embodiment of the invention, when the early warning mark is 0, a third early warning analysis result with construction damage is generated.
And 207, controlling the external damage bird repellent device to execute corresponding early warning operation according to the early warning analysis result.
Further, step 207 comprises the sub-steps of:
and S31, when the early warning analysis result is the first early warning analysis result, controlling the external-damage bird repellent device to continuously acquire the image to be analyzed.
In the embodiment of the invention, when the early warning analysis result is the first early warning analysis result, the external damage bird repellent device is controlled to continuously acquire the image to be analyzed.
And S32, when the early warning analysis result is the second early warning analysis result, controlling the ultrasonic element of the external-damage bird repellent device to start.
In the embodiment of the invention, when the early warning analysis result is the second early warning analysis result, the ultrasonic element of the external-damage bird-driving device is controlled to be started, and the ultrasonic wave, the laser and the gas for driving the fear of birds are started through the ultrasonic element to drive.
And S33, when the early warning analysis result is a third early warning analysis result, controlling an alarm of the external-damage bird repellent device to be started.
In the embodiment of the invention, when the early warning analysis result is the third early warning analysis result, an alarm of the external damage bird repellent device is controlled to be started, the alarm comprises a radar, a positioning communication module and an audible and visual alarm, when the alarm is started, the radar is used for identifying the stay time of foreign objects, when the stay time exceeds a preset time threshold, the radar sends an alarm signal to the positioning communication module and the audible and visual alarm, the audible and visual alarm carries out audible and visual alarm after receiving the alarm signal, and the positioning communication module sends relevant information and images to a mobile phone of a relevant electric power responsible person after receiving the alarm signal.
The radar sets the radius distance of induction to be 20 meters, and the radar senses that a moving object enters the working range, so that the audible and visual alarm and positioning communication module is forcedly started.
In the embodiment of the invention, when the image to be analyzed and the distance value acquired by each external damage bird repellent device are received, image preprocessing operation is carried out on the image to be analyzed, a target analysis image is generated, a corresponding characteristic character string is generated according to the target analysis image and a preset external damage database, the distance value is input into a preset evaluation database, a corresponding similarity threshold value is matched, a corresponding early warning analysis result is generated according to a comparison result of the similarity threshold values associated with each characteristic character string and the characteristic character string, and the external damage bird repellent device is controlled to execute corresponding early warning operation according to the early warning analysis result. The technical problems that the number of overhead lines is numerous, the neural network model structure is complex, and real-time monitoring and early warning of the overhead lines cannot be realized are solved. The real-time monitoring and early warning of the overhead line are realized by converting images to be analyzed in different directions into binary images, inputting the binary images into an external damage database to calculate corresponding characteristic character strings, and matching corresponding early warning analysis results based on a plurality of characteristic character strings.
Referring to fig. 3, fig. 3 is a block diagram illustrating a system for early warning an overhead line break according to a third embodiment of the present invention.
The invention provides an overhead line external damage early warning system, which relates to an overhead line to be analyzed, wherein a plurality of external damage bird repelling devices are arranged on the overhead line to be analyzed, and the external damage early warning system comprises:
the image processing module 301 is configured to perform an image preprocessing operation on an image to be analyzed when receiving the image to be analyzed and the distance value acquired by each external damage bird repellent device, and generate a target analysis image;
the feature character module 302 is configured to generate a corresponding feature character string according to the target analysis image and a preset external broken database;
the matching module 303 is configured to input the distance value into a preset evaluation database, and match a corresponding similarity threshold;
the early warning analysis module 304 is configured to generate a corresponding early warning analysis result according to the comparison result of each feature string and the similarity threshold associated with the feature string;
and the execution module 305 is used for controlling the external damage bird repellent device to execute corresponding early warning operation according to the early warning analysis result.
Further, the image processing module 301 includes:
the scaling sub-module is used for scaling the image to be analyzed based on preset scale parameters when receiving the image to be analyzed and the distance value acquired by each external damage bird repellent device, and generating a corresponding characteristic analysis image;
and the binarization sub-module is used for carrying out binarization processing on the characteristic analysis image to generate a target analysis image.
Further, the feature character module 302 includes:
the comparison sub-module is used for calculating the number of similar points between the target analysis image and the characteristic image of the preset external broken database;
the selecting sub-module is used for determining the maximum similar point digit as the target point digit and extracting the characteristic identification of the characteristic image corresponding to the target point digit;
and the characteristic character acquisition sub-module is used for carrying out characteristic marking operation on the target point digit by adopting the characteristic identifier to generate a corresponding characteristic character string.
Further, the early warning analysis module 304 includes:
the first analysis submodule is used for judging whether the number of target point bits of each characteristic string is larger than or equal to a similarity threshold value associated with the characteristic string;
if any target point digit is smaller than a similar threshold value associated with the characteristic character string, generating a first early warning analysis result without risk of external damage;
the second analysis submodule is used for determining the maximum number of the target points as the number of the early warning points and extracting the early warning identification of the characteristic character string associated with the number of the early warning points if the number of the target points is larger than or equal to the similarity threshold associated with the characteristic character string;
when the early warning mark is the first early warning mark, generating a second early warning analysis result with bird damage;
and when the early warning mark is the second early warning mark, generating a third early warning analysis result with construction damage.
Further, the executing module 305 includes:
the first control sub-module is used for controlling the external-damage bird-repellent device to continuously collect images to be analyzed when the early-warning analysis result is a first early-warning analysis result;
the second control sub-module is used for controlling the starting of the ultrasonic element of the external-damage bird-repellent device when the early-warning analysis result is the second early-warning analysis result;
and the third control sub-module is used for controlling the alarm of the external-damage bird repellent device to be started when the early warning analysis result is the third early warning analysis result.
The fourth embodiment of the invention also provides an electronic device, which comprises a memory and a processor, wherein the memory stores a computer program; the computer program, when executed by the processor, causes the processor to perform the overhead line outward breaking warning method of the above embodiment.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. An overhead line external damage early warning method is characterized by relating to an overhead line to be analyzed, wherein a plurality of external damage bird repelling devices are arranged on the overhead line to be analyzed, and the method comprises the following steps:
when receiving the images to be analyzed and the distance values acquired by the external-damage bird-scaring devices, performing image preprocessing operation on the images to be analyzed to generate target analysis images;
generating a corresponding characteristic character string according to the target analysis image and a preset external broken database;
inputting the distance value into a preset evaluation database, and matching the distance value with a corresponding similarity threshold;
generating corresponding early warning analysis results according to the comparison results of the characteristic strings and the similarity threshold associated with the characteristic strings;
and controlling the external-damage bird repellent device to execute corresponding early warning operation according to the early warning analysis result.
2. The overhead line outward-breaking early warning method according to claim 1, wherein the step of performing an image preprocessing operation on the image to be analyzed to generate a target analysis image includes:
scaling the image to be analyzed based on preset proportion parameters to generate a corresponding characteristic analysis image;
and performing binarization processing on the characteristic analysis image to generate a target analysis image.
3. The overhead line outward-breaking early warning method according to claim 1, wherein the step of generating the corresponding characteristic character string according to the target analysis image and a preset outward-breaking database comprises:
calculating the number of similar point bits between the target analysis image and a characteristic image of a preset external broken database;
determining the maximum number of similar point bits as a number of target point bits, and extracting a feature identifier of a feature image corresponding to the number of target point bits;
and carrying out feature marking operation on the target point digit by adopting the feature identifier to generate a corresponding feature character string.
4. The overhead line outward breaking early warning method according to claim 1, wherein the step of generating a corresponding early warning analysis result according to a comparison result of each of the characteristic strings and a similarity threshold value associated with the characteristic string comprises:
judging whether the number of target point bits of each characteristic character string is larger than or equal to a similarity threshold value associated with the characteristic character string;
if any target point bit number is smaller than the similarity threshold value associated with the characteristic character string, generating a first early warning analysis result without risk of external damage;
if the number of the target point digits is larger than or equal to the similarity threshold value associated with the characteristic character string, determining the maximum number of the target point digits as the number of the early warning points, and extracting the early warning identification of the characteristic character string associated with the number of the early warning points;
when the early warning mark is a first early warning mark, a second early warning analysis result with bird damage is generated;
and when the early warning mark is the second early warning mark, generating a third early warning analysis result with construction damage.
5. The overhead line external damage warning method according to claim 3, wherein the step of controlling the external damage bird repellent device to perform a corresponding warning operation according to the warning analysis result comprises:
when the early warning analysis result is a first early warning analysis result, the external-broken bird repellent device is controlled to continuously collect images to be analyzed;
when the early warning analysis result is a second early warning analysis result, controlling the ultrasonic element of the external-damage bird-driving device to start;
and when the early warning analysis result is a third early warning analysis result, controlling an alarm of the external-damage bird repellent device to be started.
6. An overhead line external damage early warning system, which is characterized in that the system relates to an overhead line to be analyzed, a plurality of external damage bird repelling devices are arranged on the overhead line to be analyzed, and the system comprises:
the image processing module is used for carrying out image preprocessing operation on the images to be analyzed when receiving the images to be analyzed and the distance values acquired by the external-damage bird repellent devices, and generating a target analysis image;
the characteristic character module is used for generating a corresponding characteristic character string according to the target analysis image and a preset external broken database;
the matching module is used for inputting the distance value into a preset evaluation database and matching a corresponding similarity threshold value;
the early warning analysis module is used for generating corresponding early warning analysis results according to the comparison results of the characteristic character strings and the similar threshold values associated with the characteristic character strings;
and the execution module is used for controlling the external-damage bird repellent device to execute corresponding early warning operation according to the early warning analysis result.
7. The overhead line outward breaking warning system according to claim 6, wherein the character module comprises:
the comparison sub-module is used for calculating the number of similar points between the target analysis image and the characteristic image of the preset external broken database;
the selecting sub-module is used for determining the maximum similar point digit as a target point digit and extracting a characteristic identifier of a characteristic image corresponding to the target point digit;
and the characteristic character acquisition sub-module is used for carrying out characteristic marking operation on the target point digit by adopting the characteristic identifier to generate a corresponding characteristic character string.
8. The overhead line outward breaking early warning system of claim 6, wherein the early warning analysis module comprises:
the first analysis submodule is used for judging whether the number of target point bits of each characteristic character string is larger than or equal to a similarity threshold value associated with the characteristic character string;
if any target point bit number is smaller than the similarity threshold value associated with the characteristic character string, generating a first early warning analysis result without risk of external damage;
the second analysis submodule is used for determining the maximum number of the target point digits as the number of the early warning points and extracting the early warning identification of the characteristic character string associated with the number of the early warning points if the number of the target point digits is larger than or equal to the similarity threshold value associated with the characteristic character string;
when the early warning mark is a first early warning mark, a second early warning analysis result with bird damage is generated;
and when the early warning mark is the second early warning mark, generating a third early warning analysis result with construction damage.
9. The overhead line outward-break warning system of claim 6, wherein the execution module comprises:
the first control sub-module is used for controlling the external-damage bird-scaring device to continuously collect images to be analyzed when the early-warning analysis result is a first early-warning analysis result;
the second control sub-module is used for controlling the starting of the ultrasonic element of the external-damage bird-repellent device when the early-warning analysis result is a second early-warning analysis result;
and the third control sub-module is used for controlling the alarm of the external-damage bird repellent device to be started when the early-warning analysis result is the third early-warning analysis result.
10. An electronic device comprising a memory and a processor, wherein the memory stores a computer program that, when executed by the processor, causes the processor to perform the steps of the overhead line outward-break warning method according to any one of claims 1-5.
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