CN113763677A - Power transmission line insulator deviation early warning system based on video monitoring technology - Google Patents
Power transmission line insulator deviation early warning system based on video monitoring technology Download PDFInfo
- Publication number
- CN113763677A CN113763677A CN202110947849.XA CN202110947849A CN113763677A CN 113763677 A CN113763677 A CN 113763677A CN 202110947849 A CN202110947849 A CN 202110947849A CN 113763677 A CN113763677 A CN 113763677A
- Authority
- CN
- China
- Prior art keywords
- transmission line
- power transmission
- insulator
- early warning
- video
- 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
- 230000005540 biological transmission Effects 0.000 title claims abstract description 110
- 239000012212 insulator Substances 0.000 title claims abstract description 98
- 238000012544 monitoring process Methods 0.000 title claims abstract description 56
- 238000001514 detection method Methods 0.000 claims abstract description 35
- 238000012545 processing Methods 0.000 claims description 22
- 230000006870 function Effects 0.000 claims description 11
- 230000000007 visual effect Effects 0.000 claims description 11
- 238000000605 extraction Methods 0.000 claims description 10
- 238000003709 image segmentation Methods 0.000 claims description 10
- 238000009499 grossing Methods 0.000 claims description 8
- 238000005259 measurement Methods 0.000 claims description 5
- 230000009286 beneficial effect Effects 0.000 claims description 4
- 238000000034 method Methods 0.000 abstract description 11
- 230000000694 effects Effects 0.000 abstract description 7
- 238000012423 maintenance Methods 0.000 abstract description 6
- 230000006872 improvement Effects 0.000 description 8
- 230000008569 process Effects 0.000 description 7
- 230000002159 abnormal effect Effects 0.000 description 4
- 238000004364 calculation method Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 230000010354 integration Effects 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 230000018109 developmental process Effects 0.000 description 2
- 239000000428 dust Substances 0.000 description 2
- 239000000284 extract Substances 0.000 description 2
- 238000003706 image smoothing Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- 230000009194 climbing Effects 0.000 description 1
- 239000000725 suspension Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/50—Constructional details
- H04N23/54—Mounting of pick-up tubes, electronic image sensors, deviation or focusing coils
-
- 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)
- Multimedia (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Electric Cable Installation (AREA)
Abstract
The invention relates to the technical field of power transmission line insulators, in particular to a power transmission line insulator deviation early warning system based on a video monitoring technology. The system comprises a model database, a video monitoring unit, a feature detection unit and an offset early warning unit, wherein the video monitoring unit transmits collected video images to the feature detection unit to generate a state result of the insulator of the power transmission line, the state result is stored in the model database, the offset early warning unit issues the offset condition of the insulator of the power transmission line according to the state result, and the offset early warning unit executes alarm when receiving an offset signal. According to the method and the device, the state result of the insulator of the power transmission line is verified and compared with the characteristic data of the insulator of the power transmission line in the normal state of the model database, early warning is timely carried out when the insulator of the power transmission line deviates, and meanwhile, a signal is fed back to the video monitoring unit to check the video of the insulator of the power transmission line, so that the reason for the deviation of the insulator of the power transmission line is conveniently observed to carry out targeted maintenance, and the practical effect is improved.
Description
Technical Field
The invention relates to the technical field of power transmission line insulators, in particular to a power transmission line insulator deviation early warning system based on a video monitoring technology.
Background
The line insulator is an industrial product and is used for insulating and hanging wires in high-voltage and ultrahigh-voltage alternating-current and direct-current transmission lines, the insulator is an important component of the transmission lines, is a unique electric insulating part and an important structural supporting part, and the performance and the configuration reasonability of the insulator directly influence the safe and stable operation of the line;
the method is characterized in that the suspension insulator string of the power transmission line is prone to deviation under severe meteorological conditions to cause windage yaw flashover, the influence on the safe and stable operation of the power transmission line is severe, although some systems for monitoring flashover of insulators of the power transmission line exist at present, the reason for flashover on the insulators of the power transmission line cannot be judged, the problem of flashover is solved by checking the insulators of the power transmission line with the climbing height of workers, the labor intensity is high, the safety of workers is not facilitated, the deviation of the insulators of the power transmission line cannot be subjected to targeted decision making, and the insulators of the power transmission line cannot be found in time when the insulators of the power transmission line deviate, so that the long-time operation instability of the power transmission line affects the normal work.
Disclosure of Invention
The invention aims to provide a power transmission line insulator deviation early warning system based on a video monitoring technology, and aims to solve the problems in the background technology.
In order to achieve the purpose, the invention provides a power transmission line insulator offset early warning system based on a video monitoring technology, which comprises a model database, a video monitoring unit, a feature detection unit and an offset early warning unit, wherein the video monitoring unit is used for monitoring the offset of a power transmission line insulator;
the model database is used for editing an offset rule, storing characteristic data of the state of the insulator of the power transmission line, facilitating comparison with the insulator image data of the power transmission line in a normal state when problems occur in the follow-up process, judging the offset state, the video monitoring unit is used for collecting video images of the insulator of the power transmission line, facilitating monitoring the real-time state of the insulator of the power transmission line, facilitating follow-up observation and finding out the main reason of the offset of the insulator of the power transmission line, the characteristic detection unit is used for processing the video images collected by the video monitoring unit and analyzing the state result of the insulator of the power transmission line, the offset early warning unit is used for receiving the state result of the characteristic detection unit, performing early warning when the insulator of the power transmission line is offset, simultaneously calling and checking the video images of the video monitoring unit, facilitating normal operation when the insulator of the power transmission line is offset, the reason for the deviation can be determined by observing the video image, so that the targeted maintenance is facilitated, and the practicability is higher;
the video monitoring unit transmits the acquired video images to the feature detection unit to generate a state result of the insulator of the power transmission line, the state result is stored in the model database, the offset early warning unit issues the offset condition of the insulator of the power transmission line according to the state result, and an alarm is executed when an offset signal is received;
because the condition of skew easily appears when receiving strong wind, thunderstorm weather and by dust pollution in the transmission line insulator, lead to causing the flashover, lead to taking place the flashover trip of large tracts of land, influence transmission line's normal use, consequently, need carry out real time monitoring to the state of transmission line insulator, detect whether the transmission line insulator takes place the skew, verify transmission line insulator state result through characteristic detecting element, through transmission signal to skew early warning unit, in time early warning when the transmission line insulator skew appears, feedback signal looks over the current condition of transmission line insulator to the video monitoring unit simultaneously, do not need the staff climb the height in order to observe the reason of transmission line insulator skew, conveniently carry out the maintenance of pertinence, improve practical effect.
As a further improvement of the technical solution, the model database includes a model memory and a video memory, the model memory is used for storing data characteristics of the insulator of the power transmission line in a normal state, and the video memory is used for storing the video images acquired by the video monitoring unit.
As a further improvement of the technical scheme, the video monitoring unit comprises a CCD video collector, a timing generator and a power supply, wherein the CCD video collector is used for collecting video images, the timing generator is used for generating a CCD driving timing, a video signal processing control timing and an I/O interface working control timing, and the power supply is used for supplying power to the timing generator and the CCD video collector;
all driving and controlling time sequence signals generated by a time sequence generator are designed under the MAX + PLUS II development environment and are downloaded to the interior of a CPLD device on line after being compiled and checked, in the design of the data acquisition card, a MAX7000S series chip EPM7064SLC44 is selected to realize the functions of the time sequence generator, the CPLD device can be programmed on line through JTAG, wherein an external clock signal is used as a reference signal of the CPLD time sequence generator, all the time sequence signals are generated on the basis of the external clock signal, and the interior of the EPM7064SLC44 chip is divided into two parts:
one part is a video signal processing control timing generator which provides various synchronous control timings for CCD video signal processing (such as A/D conversion, digital signal access, etc.);
the other part is a CCD driving timing generator.
As a further improvement of the technical solution, the feature detection unit includes an image processing module, an image segmentation module, a feature extraction module, and an offset determination module;
the image processing module is used for performing Gaussian smoothing on a video image to ensure that the overall gray distribution characteristics of the image are clear, the image segmentation module is used for segmenting different regions in the image into a plurality of sub-regions and extracting a target object, namely the position of an insulator of a power transmission line, the characteristic extraction module is used for generating a characteristic descriptor for the target object and determining the direction of the characteristic, the deviation judgment module is used for matching the characteristic descriptor with the characteristic data of the model database and calculating the similarity measurement of the characteristic descriptor and the characteristic data by adopting an Euclidean distance;
therefore, the similarity measurement of matching between the feature descriptors and the feature data of the model database can be judged, and whether the insulator of the power transmission line deviates or not can be judged conveniently in the follow-up process.
As a further improvement of the technical solution, a gaussian smoothing function expression of the image processing module is:
g is a gaussian function, e is a gaussian coefficient, c is a frequency bandwidth, a is a characteristic distribution parameter, the larger the frequency bandwidth is, the better the image smoothing degree is, and the problem of weighted average of spatial distance is effectively solved, wherein x can be 3, 5, 7, 9, 11, the values corresponding to c are 0.65, 0.87, 1.43, 1.88, and 2.31, and the larger c is, the wider the frequency band of the gaussian filter is, the better the smoothing degree is, so that the c is 2.31 to perform image processing calculation, and the obtained image is clearer.
As a further improvement of the technical solution, the image segmentation module has a calculation formula as follows:
N＝n1+n2+...+nk
wherein, N is an image area, and N1, N2,. and nk are segmented sub-areas, which is beneficial to more accurately extracting characteristics.
As a further improvement of the technical solution, the expression defined by the feature extraction module for the sub-region is as follows:
the position of the insulator of the power transmission line can be determined more accurately, so that the follow-up judgment of the existing characteristic data is facilitated, and the accuracy is improved.
As a further improvement of the technical solution, the offset early warning unit adopts an offset early warning algorithm, and includes the following steps:
receiving a detection result of the feature detection unit;
comparing the detection result with a preset value, issuing an offset signal when the detection result exceeds the preset value, and executing alarm;
the transmission signal calls out the video of the video monitoring unit for viewing, so that the integrity of the system is ensured;
specifically, assume that the detection result is represented by O and the preset value is m;
when the value is more than or equal to 0 m, issuing an offset signal to obtain the condition that the insulator of the power transmission line has an offset;
when O < m, then release normal signal, the practicality is stronger, conveniently makes in time reminding the staff to remedy and maintain in the trouble appearing, avoids transmission line to be in the flashover state for a long time and causes permanent damage.
As a further improvement of the technical scheme, the offset early warning unit comprises an audible and visual alarm and a voice alarm;
when the audible and visual alarm receives abnormal data, the audible and visual alarm controls the alarm controller to start to send out a strong audible and visual alarm signal so as to remind workers of the deviation of the insulator of the power transmission line, the audible and visual alarm utilizes a sound effect chip to be amplified by a triode and a transformer so as to push a loudspeaker to make a sound, and a timing circuit is adopted to control the ultra-bright light emitting diode to send out a flashing optical signal;
the built-in audible alarm has an alarm function, eight kinds of sound information are stored, and the built-in audible alarm extracts preset sound to warn others when receiving abnormal data, so that the built-in audible alarm is convenient to maintain in time.
Compared with the prior art, the invention has the beneficial effects that:
in this transmission line insulator skew early warning system based on video monitoring technique, verify transmission line insulator state result through passing through characteristic detecting element, compare with transmission line insulator characteristic data under the model database normal condition, judge the skew state, through transmission signal to skew early warning unit, in time early warning when transmission line insulator skew appears, feedback signal looks over the transmission line insulator current situation to video monitoring unit simultaneously, do not need the staff to climb the height and go up low alright with observe the reason of transmission line insulator skew, conveniently carry out the maintenance of pertinence, practical effects is improved.
Drawings
Fig. 1 is an overall schematic block diagram of embodiment 1 of the present invention;
fig. 2 is a schematic diagram of a video monitoring unit according to embodiment 1 of the present invention;
FIG. 3 is a block diagram of a feature detection unit according to embodiment 1 of the present invention;
fig. 4 is a schematic block diagram of a feature detection unit according to embodiment 1 of the present invention;
fig. 5 is a flowchart of an offset warning algorithm in embodiment 1 of the present invention.
The various reference numbers in the figures mean:
100. a model database;
200. a video monitoring unit;
300. a feature detection unit; 310. an image processing module; 320. an image segmentation module; 330. a feature extraction module; 340. an offset determination module;
400. and an offset early warning unit.
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 derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
Referring to fig. 1 to 5, the present embodiment provides a power transmission line insulator deviation early warning system based on a video monitoring technology, which includes a model database 100, a video monitoring unit 200, a feature detection unit 300, and a deviation early warning unit 400;
the model database 100 is used for editing the offset rule, storing the characteristic data of the insulator state of the power transmission line, and conveniently comparing the characteristic data with the insulator image data of the power transmission line in the normal state to judge the offset state when problems occur in the follow-up process.
In order to store data in a classified manner, the model database 100 includes a model memory and a video memory, the model memory is used for storing data characteristics of the insulator of the power transmission line in a normal state, and the video memory is used for storing video images collected by the video monitoring unit 200;
a storage medium of a memory is formed by storage elements, wherein the storage elements can store a binary code, a storage unit is formed by a plurality of storage elements, then a memory is formed by a plurality of storage units, the memory comprises a plurality of storage units, each storage unit can store a byte to be addressed according to bytes, the position of each storage unit has a number, namely an address, which is generally expressed by hexadecimal, the sum of all storage units in the memory can store data is called the storage capacity of the storage unit, the 20 power of 2, namely 1M storage unit addresses can be expressed if the address code of the memory is formed by 20-bit binary numbers, namely 5-bit hexadecimal numbers, and the storage capacity of the memory is 1MB if each storage unit stores one byte.
The video monitoring unit 200 is used for acquiring video images of the insulators of the power transmission line, so that the real-time states of the insulators of the power transmission line can be conveniently monitored, and the main reasons of insulator deviation of the power transmission line can be conveniently observed and found in a follow-up mode.
In order to more stably acquire video images, specifically as shown in fig. 2, the video monitoring unit 200 includes a CCD video collector, a timing generator and a power supply, the CCD video collector is used for acquiring video images, the timing generator is used for generating a CCD driving timing, a video signal processing control timing and an I/O interface working control timing, and the power supply is used for supplying power to the timing generator and the CCD video collector;
all driving and controlling time sequence signals generated by a time sequence generator are designed under the MAX + PLUS II development environment and are downloaded to the interior of a CPLD device on line after being compiled and checked, in the design of the data acquisition card, a MAX7000S series chip EPM7064SLC44 is selected to realize the functions of the time sequence generator, the CPLD device can be programmed on line through JTAG, wherein an external clock signal is used as a reference signal of the CPLD time sequence generator, all the time sequence signals are generated on the basis of the external clock signal, and the interior of the EPM7064SLC44 chip is divided into two parts:
one part is a video signal processing control timing generator which provides various synchronous control timings for CCD video signal processing (such as A/D conversion, digital signal access, etc.);
the other part is a CCD driving timing generator;
it generates four driving signals (RS, SH, phi 1, phi 2) needed by CCD work according to the requirement of specific driving sequence logic, and sets different CCD integration periods (the variable range of the integration period is 4 ms-64 ms, the change step length is 4ms, or 2 ms-32 ms, the change step length is 2ms) through integration control signals, and it also provides clock control signals for the generation of video signal processing control sequence, the data acquisition system has three working states: initializing a data acquisition system; a data acquisition process; and the PC machine can effectively realize the real-time monitoring and image acquisition of the state of the insulator of the power transmission line in the process of reading the video signal.
The feature detection unit 300 is configured to process the video image acquired by the video monitoring unit 200 and analyze a result of the state of the insulator of the power transmission line.
In order to improve the offset detection effect, as shown in fig. 3-4 in particular, the feature detection unit 300 includes an image processing module 310, an image segmentation module 320, a feature extraction module 330, and an offset determination module 340;
the image processing module 310 is configured to perform gaussian smoothing on a video image to ensure that the overall gray distribution characteristics of the image are clear, the image segmentation module 320 is configured to segment different regions in the image into a plurality of sub-regions to extract a target object, that is, the position of an insulator of a power transmission line, the feature extraction module 330 is configured to generate a feature descriptor for the target object, determine the direction of the features, and the offset determination module 340 is configured to match the feature descriptor with feature data of the model database 100, and calculate similarity measurement between the feature descriptor and the feature data by using a euclidean distance;
in matching, for example, defining a feature descriptor as a0, 1,1,0, defining feature data as B1,0,1,1, 1 indicates that the set contains the element, 0 indicates that the set does not contain the element, then p indicates the number of dimensions where a and B are both 1, q indicates the number of dimensions where a is 1 and B is 0, r indicates the number of dimensions where a is 0 and B is 1, and s indicates the number of dimensions where samples a and B are both 0, the similarity coefficient can be expressed as:
therefore, the similarity measurement of matching between the feature descriptors and the feature data of the model database 100 can be judged, and whether the insulator of the power transmission line deviates or not can be judged conveniently in the follow-up process.
In order to make the obtained image clearer, the gaussian smoothing function expression of the image processing module 310 is:
g is a gaussian function, e is a gaussian coefficient, c is a frequency bandwidth, a is a characteristic distribution parameter, the larger the frequency bandwidth is, the better the image smoothing degree is, and the problem of weighted average of spatial distance is effectively solved, wherein x can be 3, 5, 7, 9, 11, the values corresponding to c are 0.65, 0.87, 1.43, 1.88, and 2.31, and the larger c is, the wider the frequency band of the gaussian filter is, the better the smoothing degree is, so that the c is 2.31 to perform image processing calculation, and the obtained image is clearer.
Specifically, the image segmentation module 320 has a calculation formula as follows:
N＝n1+n2+...+nk
wherein, N is an image area, and N1, N2,. and nk are segmented sub-areas, which is beneficial to more accurately extracting characteristics.
To improve accuracy, the feature extraction module 330 defines the sub-region with the expression:
the method comprises the following steps of obtaining a pixel, obtaining a characteristic corresponding to an insulator of the power transmission line in the pixel, and obtaining a background corresponding to the insulator of the power transmission line in the pixel.
The deviation early warning unit 400 is used for receiving the state result of the characteristic detection unit 300, performing early warning when the insulator of the power transmission line deviates, and calling the video image of the video monitoring unit 200 to view, so that when the insulator of the power transmission line deviates to influence the normal operation of the power transmission line, the reason of the deviation can be determined by observing the video image, the targeted maintenance is facilitated, and the practicability is higher;
in order to ensure the integrity of the system, as shown in fig. 5, the offset early warning unit 400 adopts an offset early warning algorithm, which includes the following steps:
receiving a detection result of the feature detection unit 300;
comparing the detection result with a preset value, issuing an offset signal when the detection result exceeds the preset value, and executing alarm;
the transmission signal calls out the video of the video monitoring unit 200 for viewing, so that the system is complete;
specifically, assume that the detection result is represented by O and the preset value is m;
when the value is more than or equal to 0 m, issuing an offset signal to obtain the condition that the insulator of the power transmission line has an offset;
when O < m, then release normal signal, the practicality is stronger, conveniently makes in time reminding the staff to remedy and maintain in the trouble appearing, avoids transmission line to be in the flashover state for a long time and causes permanent damage.
In order to improve the reminding effect, the offset early warning unit 400 comprises an audible and visual alarm and a voice alarm;
when the audible and visual alarm receives abnormal data, the audible and visual alarm controls the alarm controller to start to send out a strong audible and visual alarm signal so as to remind workers of the deviation of the insulator of the power transmission line, the audible and visual alarm utilizes a sound effect chip to be amplified by a triode and a transformer so as to push a loudspeaker to make a sound, and a timing circuit is adopted to control the ultra-bright light emitting diode to send out a flashing optical signal;
the built-in audible alarm has an alarm function, eight kinds of sound information are stored, and the built-in audible alarm extracts preset sound to warn others when receiving abnormal data, so that the built-in audible alarm is convenient to maintain in time.
The video monitoring unit 200 transmits the acquired video images to the feature detection unit 300 to generate a state result of the insulator of the power transmission line, meanwhile, the state result is stored in the model database 100, the offset early warning unit 400 issues the offset condition of the insulator of the power transmission line according to the state result, and an alarm is executed when an offset signal is received;
because the condition of skew easily appears when the transmission line insulator receives strong wind, thunderstorm weather and is polluted by the dust, lead to causing the flashover, lead to taking place the flashover trip of large tracts of land, influence transmission line's normal use, consequently, need carry out real time monitoring to the state of transmission line insulator, detect whether the transmission line insulator takes place the skew, verify transmission line insulator state result through characteristic detecting element 300, through transmission signal to skew early warning unit 400, in time early warning when the transmission line insulator skew appears, feedback signal looks over the current condition of transmission line insulator to video monitoring unit 200 simultaneously, need not the staff climb the height in order to observe the reason of transmission line insulator skew, conveniently carry out the maintenance of pertinence, improve practical function.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and the preferred embodiments of the present invention are described in the above embodiments and the description, and are not intended to limit the present invention. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (9)
1. A power transmission line insulator deviation early warning system based on a video monitoring technology is characterized by comprising a model database (100), a video monitoring unit (200), a feature detection unit (300) and a deviation early warning unit (400);
the model database (100) is used for editing an offset rule and storing characteristic data of the state of the insulator of the power transmission line, the video monitoring unit (200) is used for acquiring a video image of the insulator of the power transmission line, the characteristic detection unit (300) is used for processing the video image acquired by the video monitoring unit (200) and analyzing the state result of the insulator of the power transmission line, the offset early warning unit (400) is used for receiving the state result of the characteristic detection unit (300), early warning is executed when the insulator of the power transmission line is offset, and meanwhile, the video image of the video monitoring unit (200) is called for viewing;
the video monitoring unit (200) transmits the acquired video images to the feature detection unit (300) to generate a power transmission line insulator state result, the state result is stored in the model database (100), the deviation early warning unit (400) issues the power transmission line insulator deviation condition according to the state result, and an alarm is executed when a deviation signal is received.
2. The power transmission line insulator deviation early warning system based on the video monitoring technology as claimed in claim 1, wherein: the model database (100) comprises a model memory and a video memory, the model memory is used for storing data characteristics of the insulator of the power transmission line in a normal state, and the video memory is used for storing video images collected by the video monitoring unit (200).
3. The power transmission line insulator deviation early warning system based on the video monitoring technology as claimed in claim 1, wherein: the video monitoring unit (200) comprises a CCD video collector, a time sequence generator and a power supply, wherein the CCD video collector is used for collecting video images, the time sequence generator is used for generating a CCD driving time sequence, a video signal processing control time sequence and an I/O interface working control time sequence, and the power supply is used for supplying power to the time sequence generator and the CCD video collector.
4. The power transmission line insulator deviation early warning system based on the video monitoring technology as claimed in claim 1, wherein: the feature detection unit (300) comprises an image processing module (310), an image segmentation module (320), a feature extraction module (330) and a shift determination module (340);
the image processing module (310) is used for performing Gaussian smoothing on a video image to ensure that the gray distribution features of the image overall are clear, the image segmentation module (320) is used for segmenting different regions in the image into a plurality of sub-regions to extract a target object, the feature extraction module (330) is used for generating a feature descriptor for the target object and determining the direction of the features, and the deviation determination module (340) is used for matching the feature descriptor with the feature data of the model database (100) and calculating the similarity measurement of the feature descriptor and the feature descriptor by adopting Euclidean distance.
5. The power transmission line insulator deviation early warning system based on the video monitoring technology as claimed in claim 4, wherein: the gaussian smoothing function expression of the image processing module (310) is:
wherein g is a gaussian function, e is a gaussian coefficient, c is a frequency bandwidth, and a is a characteristic distribution parameter.
6. The power transmission line insulator deviation early warning system based on the video monitoring technology as claimed in claim 5, wherein: the image segmentation module (320) calculates the formula as:
N＝n1+n2+...+nk
wherein, N is an image area, and N1, N2,. and nk are segmented sub-areas, which is beneficial to more accurately extracting characteristics.
7. The power transmission line insulator deviation early warning system based on the video monitoring technology as claimed in claim 6, wherein: the feature extraction module (330) defines the sub-region as an expression:
and n (X, Y) is a subregion range value, X is a characteristic corresponding to the power transmission line insulator in the pixel, and Y is a characteristic corresponding to the background in the pixel.
8. The power transmission line insulator deviation early warning system based on the video monitoring technology as claimed in claim 1, wherein: the offset early warning unit (400) adopts an offset early warning algorithm, and comprises the following steps:
receiving a detection result of the feature detection unit (300);
comparing the detection result with a preset value, issuing an offset signal when the detection result exceeds the preset value, and executing alarm;
the transmission signal calls out the video of the video monitoring unit (200) for viewing, and the system is ensured to be complete.
9. The power transmission line insulator deviation early warning system based on the video monitoring technology as claimed in claim 1, wherein: the deviation early warning unit (400) comprises an audible and visual alarm and a voice alarm.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110947849.XA CN113763677A (en) | 2021-08-18 | 2021-08-18 | Power transmission line insulator deviation early warning system based on video monitoring technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110947849.XA CN113763677A (en) | 2021-08-18 | 2021-08-18 | Power transmission line insulator deviation early warning system based on video monitoring technology |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113763677A true CN113763677A (en) | 2021-12-07 |
Family
ID=78790265
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110947849.XA Pending CN113763677A (en) | 2021-08-18 | 2021-08-18 | Power transmission line insulator deviation early warning system based on video monitoring technology |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113763677A (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102494658A (en) * | 2011-12-01 | 2012-06-13 | 山西省电力公司大同供电分公司 | Online wind deviation angle monitoring device for power transmission line |
| CN202938815U (en) * | 2012-12-10 | 2013-05-15 | 山西省电力公司大同供电分公司 | Wind-deviation detecting system based on image processing |
| CN106023185A (en) * | 2016-05-16 | 2016-10-12 | 国网河南省电力公司电力科学研究院 | Power transmission equipment fault diagnosis method |
| CN107145846A (en) * | 2017-04-26 | 2017-09-08 | 贵州电网有限责任公司输电运行检修分公司 | A kind of insulator recognition methods based on deep learning |
| CN107392886A (en) * | 2017-06-14 | 2017-11-24 | 国网山东省电力公司菏泽供电公司 | A kind of power equipment image processing method |
| CN109801283A (en) * | 2019-01-25 | 2019-05-24 | 西安工程大学 | A kind of Hydrophobicity of Composite Insulator grade determination method based on water droplet offset distance |
| CN112393712A (en) * | 2020-11-16 | 2021-02-23 | 云南电网有限责任公司昆明供电局 | Power transmission line insulator string inclination monitoring system and method based on satellite positioning |
| CN112714285A (en) * | 2020-12-22 | 2021-04-27 | 安徽康能电气有限公司 | 5G communication-based power transmission line high-definition video monitoring method and system |
-
2021
- 2021-08-18 CN CN202110947849.XA patent/CN113763677A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102494658A (en) * | 2011-12-01 | 2012-06-13 | 山西省电力公司大同供电分公司 | Online wind deviation angle monitoring device for power transmission line |
| CN202938815U (en) * | 2012-12-10 | 2013-05-15 | 山西省电力公司大同供电分公司 | Wind-deviation detecting system based on image processing |
| CN106023185A (en) * | 2016-05-16 | 2016-10-12 | 国网河南省电力公司电力科学研究院 | Power transmission equipment fault diagnosis method |
| CN107145846A (en) * | 2017-04-26 | 2017-09-08 | 贵州电网有限责任公司输电运行检修分公司 | A kind of insulator recognition methods based on deep learning |
| CN107392886A (en) * | 2017-06-14 | 2017-11-24 | 国网山东省电力公司菏泽供电公司 | A kind of power equipment image processing method |
| CN109801283A (en) * | 2019-01-25 | 2019-05-24 | 西安工程大学 | A kind of Hydrophobicity of Composite Insulator grade determination method based on water droplet offset distance |
| CN112393712A (en) * | 2020-11-16 | 2021-02-23 | 云南电网有限责任公司昆明供电局 | Power transmission line insulator string inclination monitoring system and method based on satellite positioning |
| CN112714285A (en) * | 2020-12-22 | 2021-04-27 | 安徽康能电气有限公司 | 5G communication-based power transmission line high-definition video monitoring method and system |
Non-Patent Citations (1)
| Title |
|---|
| 杨露菁，吉文阳，郝卓楠，李翀伦，吴俊锋: "智能图像处理及应用", 中国铁道出版社, pages: 60 - 61 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104764748A (en) | Method and system for positioning insulators and method and system for fault detection | |
| CN104994334A (en) | Automatic substation monitoring method based on real-time video | |
| CN109488528A (en) | A kind of method of adjustment and device of fan yaw system | |
| CN110827435A (en) | External damage monitoring method and system based on intelligent warning post and readable storage medium | |
| CN104077872A (en) | Anti-external force monitoring early warning method of electric transmission line based on image recognition | |
| CN112697798B (en) | Infrared image-oriented diagnosis method and device for current-induced thermal defects of power transformation equipment | |
| CN110187233A (en) | Holographic sensor, transmission line malfunction method of disposal and terminal device | |
| CN112776856A (en) | Track foreign matter intrusion monitoring method, device and system and monitoring host equipment | |
| CN112688434A (en) | Monitoring and early warning method and device for power transmission and distribution line, computer equipment and medium | |
| CN117274722A (en) | Intelligent detection method for distribution box based on infrared image | |
| CN115311585A (en) | A discernment detecting system for electric wire netting overhead line foreign matter | |
| CN114024574B (en) | Hidden danger state identification method and equipment for power transmission line | |
| CN209014643U (en) | The balanced voltage detection terminal and its balanced voltage detection system of ion blower | |
| CN113688987A (en) | Training method of photovoltaic monitoring model, monitoring method of photovoltaic equipment and equipment | |
| CN113763677A (en) | Power transmission line insulator deviation early warning system based on video monitoring technology | |
| CN111325708B (en) | Transmission line detection method and server | |
| CN113516091B (en) | Method for identifying electric spark image of transformer substation | |
| CN111738259A (en) | Tower state detection method and device | |
| CN103198326B (en) | A kind of image classification method of transmission line of electricity helicopter routing inspection | |
| CN115761644A (en) | Transmission line foreign matter detection method based on deep learning and frame difference method | |
| KR102522685B1 (en) | Apparatus and Method for detecting galloping power lines | |
| CN115102287A (en) | Intelligent management and control system for new energy power station centralized area | |
| CN112051493A (en) | Hidden danger type identification method and device for power distribution network equipment | |
| CN104539357B (en) | Based on OPGW detection system and the method for distributed data | |
| LU503644B1 (en) | A voltage monitoring and early warning method and system for an offshore wind farm |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20211207 |
|
| RJ01 | Rejection of invention patent application after publication |