CN112329540A - Identification method and system for overhead transmission line operation in-place supervision - Google Patents
Identification method and system for overhead transmission line operation in-place supervision Download PDFInfo
- Publication number
- CN112329540A CN112329540A CN202011079756.1A CN202011079756A CN112329540A CN 112329540 A CN112329540 A CN 112329540A CN 202011079756 A CN202011079756 A CN 202011079756A CN 112329540 A CN112329540 A CN 112329540A
- Authority
- CN
- China
- Prior art keywords
- transmission line
- supervisor
- power transmission
- site
- supervision
- 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 98
- 238000000034 method Methods 0.000 title claims abstract description 26
- 238000012423 maintenance Methods 0.000 claims abstract description 44
- 238000003384 imaging method Methods 0.000 claims description 10
- 108091008695 photoreceptors Proteins 0.000 claims description 8
- 238000012512 characterization method Methods 0.000 claims 2
- 238000004891 communication Methods 0.000 description 9
- 238000010586 diagram Methods 0.000 description 8
- 238000012544 monitoring process Methods 0.000 description 7
- 230000003287 optical effect Effects 0.000 description 6
- 238000005259 measurement Methods 0.000 description 4
- 238000012806 monitoring device Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 241000414697 Tegra Species 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Economics (AREA)
- Theoretical Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- General Health & Medical Sciences (AREA)
- Entrepreneurship & Innovation (AREA)
- Multimedia (AREA)
- Tourism & Hospitality (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Human Computer Interaction (AREA)
- Water Supply & Treatment (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Public Health (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention discloses an identification method and a system for overhead transmission line operation in-place supervision, wherein the method comprises the following steps: acquiring face information and image data near a power transmission line maintenance operation site through image acquisition equipment; judging whether a supervisor exists near the power transmission line maintenance operation site or not based on the face information; acquiring the actual distance between a supervisor and the center of the power transmission line overhauling site based on the image data after judging that the supervisor exists near the power transmission line overhauling site; and feeding back the working condition of the supervisor based on the actual distance. The embodiment of the invention can realize the high-efficiency identification of the supervision condition of the maintenance operation of the overhead transmission line and effectively control the personal risk of field maintenance personnel.
Description
Technical Field
The invention relates to the technical field of electric power operation risk management and control, in particular to an identification method and system for overhead transmission line operation in-place supervision.
Background
The power transmission line is an important component of the power system, and according to relevant regulations of DL/T1248-2013 'guide rule for overhead power transmission line state maintenance', the overhead power transmission line maintenance comprises power failure maintenance and non-power failure maintenance, maintenance operation risks need to be controlled when maintenance projects are implemented, and organization measures, safety measures and technical measures are strictly implemented. In the process of overhauling the transmission line, safety supervisors at corresponding levels and safety production management responsible persons (supervisors or responsible persons) of all units need to go deep into an operation field to carry out in-place supervision according to the safety duty in-place measurement standard strictly, and the safety measures are ensured to be comprehensively, timely and effectively implemented by supervising the operation persons in real time. On the basis, the problem to be solved by the invention is how to flexibly judge whether the maintenance operation of the overhead transmission line is separated from the supervision.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, and provides an identification method and system for overhead transmission line operation in-place supervision.
In order to solve the problems, the invention provides an identification method for overhead transmission line operation in-place supervision, which comprises the following steps:
acquiring face information and image data near a power transmission line maintenance operation site through image acquisition equipment;
judging whether a supervisor exists near the power transmission line maintenance operation site or not based on the face information;
acquiring the actual distance between a supervisor and the center of the power transmission line overhauling site based on the image data after judging that the supervisor exists near the power transmission line overhauling site;
and feeding back the working condition of the supervisor based on the actual distance.
Optionally, the face information includes a binocular distance, a left eye coordinate, a right eye coordinate, an eye color, a skin color, and a face special representation.
Optionally, after determining whether a supervisor exists near the power transmission line maintenance operation site, the method further includes:
and if the fact that no supervisor exists nearby the power transmission line overhauling operation site is judged, first early warning information that the supervisor does not go on duty is generated, and the first early warning information is uploaded to a power grid emergency command center.
Optionally, the obtaining of the actual distance between the supervisor and the center of the power transmission line overhaul operation site based on the image data includes:
acquiring a center distance between two cameras included in the image acquisition device and a focal length of any one of the two cameras;
and acquiring the coordinate information of the imaging point of the photoreceptor of each camera of the two cameras by the supervisor based on the image data, and determining the actual distance between the supervisor and the center of the power transmission line overhaul operation site by combining the center distance and the focal length.
Optionally, the feeding back the working condition of the supervisor based on the actual distance includes:
judging whether the actual distance exceeds a preset safety supervision distance or not;
if so, generating second early warning information that the supervisor is out of supervision, and uploading the second early warning information to the power grid emergency command center;
and if not, generating feedback information of the in-place supervisor, and uploading the feedback information to the power grid emergency command center.
In addition, an embodiment of the present invention further provides an identification system for overhead transmission line operation in-place supervision, where the system includes:
the acquisition module is used for acquiring face information and image data near a maintenance operation site of the power transmission line through image acquisition equipment;
the judging module is used for judging whether a supervisor exists near the power transmission line maintenance operation site or not based on the face information;
the acquisition module is used for acquiring the actual distance between a supervisor and the center of the power transmission line overhauling site based on the image data after judging that the supervisor exists near the power transmission line overhauling site;
and the feedback module is used for feeding back the working condition of the supervisor based on the actual distance.
Optionally, the face information includes a binocular distance, a left eye coordinate, a right eye coordinate, an eye color, a skin color, and a face special representation.
Optionally, the determining module is further configured to generate first warning information that a supervisor is not on duty after determining that no supervisor is present near the power transmission line overhaul work site, and upload the first warning information to a power grid emergency command center.
Optionally, the acquiring module is configured to acquire a center distance between two cameras included in the image capturing device and a focal length of any one of the two cameras; and acquiring the coordinate information of the imaging point of the photoreceptor of each camera of the two cameras by the supervisor based on the image data, and determining the actual distance between the supervisor and the center of the power transmission line overhaul operation site by combining the center distance and the focal length.
Optionally, the feedback module is configured to determine whether the actual distance exceeds a preset safety supervision distance; if so, generating second early warning information that the supervisor is out of supervision, and uploading the second early warning information to the power grid emergency command center; and if not, generating feedback information of the in-place supervisor, and uploading the feedback information to the power grid emergency command center.
In the embodiment of the invention, the real-time condition near the maintenance operation site of the power transmission line is acquired through the image acquisition equipment, and the supervision condition of the maintenance operation of the overhead power transmission line is judged in sequence according to whether a supervisor is absent and whether the supervisor is unsupervised, so that the high-efficiency identification of the maintenance operation supervision condition of the overhead power transmission line can be realized, the personal risk of the site maintainer is effectively controlled, and the execution level of in-place supervision of the maintenance operation of the overhead power transmission line is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic composition diagram of a control system for overhead transmission line operation in-place supervision according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of an identification method for overhead transmission line operation in-place supervision in an embodiment of the invention;
fig. 3 is a schematic diagram of a field application of a control system for overhead transmission line operation in-place supervision according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of solving an actual distance between a supervisor and a center of a power transmission line maintenance operation site in the embodiment of the invention;
fig. 5 is a schematic composition diagram of an identification system for overhead transmission line operation in-place supervision in the embodiment of the invention.
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.
Referring to fig. 1, fig. 1 is a schematic diagram illustrating a composition of a control system for overhead transmission line operation in-place supervision according to an embodiment of the present invention, where the control system includes a multi-rotor unmanned aerial vehicle, a communication device, a ground monitoring device, and a power grid emergency command center, the multi-rotor unmanned aerial vehicle is connected to the ground monitoring device based on the communication device, and the ground monitoring device is connected to the power grid emergency command center based on the communication device.
The multi-rotor unmanned aerial vehicle belongs to a medium-sized unmanned aerial vehicle according to the quality classification of the aerial vehicle, the quality of the multi-rotor unmanned aerial vehicle is within the range of 7-116 kg, the image acquisition equipment carried on the multi-rotor unmanned aerial vehicle comprises two 1/2 type 1080P cameras, the cameras accord with the relevant regulations of GB/T364812018 general Specification of information technology scene recorder, and the lens uplink focal length of any one of the two 1/2 type 1080P cameras is 3.8 mm, and the lens downlink focal length of the camera is 5.1 mm.
The ground monitoring equipment adopts a Tegra Parker series 6-core processor produced by NVIDIA as a main control chip, matches an 8-Gbyte LPDDR4 type memory and a 32-Gbyte e MMC flash memory, serves as an edge computing platform of a Soc framework, has high-performance data processing capacity, and can meet the data computing requirement of the control system.
The communication equipment adopts a TD-LTE type wireless communication base station with a 1.8 gigahertz frequency band or an LTE230 type wireless communication base station with a 230 megahertz frequency band as a connection center in the control system, and mainly realizes the information transmission function among the multi-rotor unmanned aerial vehicle, the ground monitoring equipment and the power grid emergency command center.
Further, the control system is further provided with a ground measurement and control vehicle according to the specification of DL/T1482-2015 guidance for unmanned aerial vehicle inspection operation technology of the overhead transmission line, and the ground measurement and control vehicle and the multi-rotor unmanned aerial vehicle realize a charging connection relationship; the ground measurement and control vehicle adopts a four-wheel drive mode, can carry two sets of multi-rotor unmanned aerial vehicles simultaneously to transfer between different power transmission line maintenance operation sites, and provides automatic charging convenience for the two sets of multi-rotor unmanned aerial vehicles.
In the implementation process of the invention, the multi-rotor unmanned aerial vehicle is provided with image acquisition equipment, and the image acquisition equipment is used for acquiring face information and image data near a power transmission line maintenance operation site when the multi-rotor unmanned aerial vehicle is in a hovering state; the communication equipment is used for transmitting the face information and the image data to the ground monitoring equipment; the ground monitoring equipment is used for acquiring the actual distance between a supervisor and the site center of the power transmission line maintenance operation based on the face information and the image data, confirming the working condition of the supervisor based on the actual distance, and feeding back the working condition to the power grid emergency command center to finish information registration.
Based on the control system provided in fig. 1, fig. 2 is a schematic flow chart of an identification method for overhead transmission line operation in-place supervision in an embodiment of the present invention, where the method includes the following steps:
s101, acquiring face information and image data near a power transmission line maintenance operation site through image acquisition equipment, wherein the face information comprises a distance between two eyes, a left eye coordinate, a right eye coordinate, an eye color, a skin color and a face special representation;
in the embodiment of the invention, fig. 3 shows a field application schematic diagram of a control system facing overhead transmission line operation in-place supervision in the embodiment of the invention, the power grid emergency command center assigns five power transmission maintenance personnel to the power transmission line maintenance operation field according to the specification of DLT 1248-.
The implementation process of the invention comprises the following steps: the multi-rotor unmanned aerial vehicle is controlled to fly to an airspace which is 50 meters near the power transmission line overhaul operation site and is 1-2 meters higher than a tower, the image acquisition equipment is triggered to acquire the face information and the image data near the power transmission line overhaul operation site according to the stipulation of GA/T1325 and 2017 video image acquisition standards for safety precaution face identification application, two cameras contained in the image acquisition equipment respectively take the upper left corner of an image identification rectangular frame as an original point (x, y), the width is set as w, the height is set as h, and five pieces of image information are extracted in a time-sharing mode to form the image data.
S102, judging whether a supervisor exists nearby the power transmission line maintenance operation site or not based on the face information;
in the embodiment of the invention, an engineer of the power grid emergency command center writes a power transmission line maintenance operation in-place supervision algorithm and face record data of a supervisor into the ground monitoring equipment through the communication equipment through a WebService service interface or an API (application programming interface) secondary development interface before maintenance operation is carried out, wherein the face record data comprises an image information block, a face information block, an image data block and a feature data block, and the corresponding data formats all conform to the regulations of GA/T922.2 Security face recognition application System.
The implementation process of the invention comprises the following steps: the ground monitoring equipment can acquire the face information and the image data by utilizing the wireless connection relationship between the communication equipment and the ground monitoring equipment, at this time, the stored face record data is called to identify and match the face information preferentially according to the provisions of GA/T922.6 'face identification algorithm evaluation method', whether supervisors exist nearby the power transmission line maintenance operation site is judged, and the corresponding judgment result is as follows: if a supervisor exists near the power transmission line maintenance operation site, continuing to execute the step S103; and if no supervisor exists nearby the power transmission line overhauling operation site, generating first early warning information that the supervisor does not go on duty, and uploading the first early warning information to a power grid emergency command center.
S103, acquiring the actual distance between the supervisor and the center of the power transmission line overhauling site based on the image data;
the implementation process of the invention comprises the following steps: acquiring a central distance B between two cameras included in the image acquisition equipment and a focal length f of any one of the two cameras; acquiring the coordinate information of the imaging point of the photoreceptor of each camera of the two cameras by the supervisor based on the image data, and determining the actual distance Z between the supervisor and the center of the power transmission line maintenance operation site by combining the center distance B and the focal length f as follows:
setting the position of the supervisor as a point P, wherein the point P is located within the visual distance of each of the two cameras, and defining the two cameras as a left camera and a right camera respectively, IlCoordinate information of imaging point of photoreceptor for point P in said left camera, IrAnd imaging point coordinate information of the photoreceptor of the right camera for the point P.
More specifically, the schematic diagram of the actual distance between the supervisor and the center of the transmission line maintenance operation site is solved in combination with fig. 4, where point L is the optical center of the left camera, point R is the optical center of the right camera, and point I islTo IrThe distance of (a) is: d ═ B- (I)l-Ir)；
According to the similar triangle principle, it can be obtained that:
simplifying to obtain:
furthermore, in combination with the first image data captured by the left camera and the second image data captured by the right camera included in the image data, the precondition that the step can be performed is acquired to include:
(1) by obtaining the distance O of the imaging point of the left camera relative to the optical axis of the camera1And the distance O of the imaging point of the right camera relative to the optical axis of the right camera2And obtaining the parallax formed by the left camera and the right camera under the same three-dimensional coordinate system as follows: d ═ O1-O2I.e. the difference in direction of the left camera and the right camera looking at the supervisor;
(2) setting a common field of view of the left camera and the right camera in the same three-dimensional coordinate system, wherein the common field of view space point of the point P in the left camera coordinate system is PL(x, y, z), the point P is P in the common field space of the right camera coordinate systemR＝(x-B,y,z)；
(3) Obtaining an origin offset c of the left camera coordinate system and the stereo coordinate systemxAnd an origin offset c of the right camera coordinate system and the stereoscopic coordinate systemySo as to obtain the plane characteristic point P corresponding to the first image dataL＝(xL，yL) And the plane characteristic point corresponding to the second image data is PR＝(xR，yR)；
(4) Selecting one pair of the focal length f, the central distance B and the origin offset c from mathematic calculation software such as Matlab software, Scilab software, Octave software, Python software and the likexAnd the origin offset cyPerforming stereo calibration to correct and combine the first image data and the second image data while enabling yL＝yR(i.e., in-plane alignment); the concrete expression is as follows: with the camera of the left cameraThe stereoscopic coordinate system is established by taking the optical center as an origin, and assuming that the coordinates of the point P are (X, Y, Z), the mapping relation between the left camera coordinate system and the right camera coordinate system to the stereoscopic coordinate system can be realized by using a transformation matrix Q as follows:
on the basis, the actual distance solving process of the supervisors and the center of the power transmission line overhauling site can be transferred to the three-dimensional coordinate system.
In addition, in order to improve the control of the working condition of the supervisor, the embodiment of the invention selects five coordinate points of the supervisor at different times to respectively perform the calculation of the actual distance, wherein the five coordinate points are as follows:
and S104, feeding back the working condition of the supervisor based on the actual distance.
In the embodiment of the present invention, the power grid emergency command center sets the safety supervision distance to be 6 meters, and at this time, determines whether the actual distance Z exceeds the safety supervision distance, and the corresponding determination result is: if the actual distance Z exceeds the safety supervision distance, second early warning information that the supervisors are out of supervision is generated, and the second early warning information is uploaded to the power grid emergency command center; and if the actual distance Z does not exceed the safety supervision distance, generating feedback information of the in-place supervision personnel, and uploading the feedback information to the power grid emergency command center.
Referring to fig. 5, fig. 5 is a schematic composition diagram of an identification system for overhead transmission line operation in-place supervision according to an embodiment of the present invention, where the system includes the following components:
the acquisition module 201 is used for acquiring face information and image data near a power transmission line maintenance operation site through image acquisition equipment, wherein the face information comprises a distance between two eyes, a left eye coordinate, a right eye coordinate, an eye color, a skin color and a face special representation;
the judging module 202 is configured to judge whether a supervisor exists near the power transmission line maintenance operation site based on the face information;
specifically, the judging module 202 is further configured to generate first early warning information that a supervisor is not on duty after judging that no supervisor is present near the electric transmission line overhaul work site, and upload the first early warning information to a power grid emergency command center.
The acquisition module 203 is used for acquiring the actual distance between a supervisor and the center of the electric transmission line overhaul operation site based on the image data after judging that the supervisor exists near the electric transmission line overhaul operation site;
specifically, the obtaining module 203 is configured to obtain a center distance between two cameras included in the image capturing apparatus and a focal length of any one of the two cameras; and acquiring the coordinate information of the imaging point of the photoreceptor of each camera of the two cameras by the supervisor based on the image data, and determining the actual distance between the supervisor and the center of the power transmission line overhaul operation site by combining the center distance and the focal length.
A feedback module 204, configured to feedback a working condition of the supervisor based on the actual distance.
Specifically, the feedback module 204 is configured to determine whether the actual distance exceeds a preset safety supervision distance; if so, generating second early warning information that the supervisor is out of supervision, and uploading the second early warning information to the power grid emergency command center; and if not, generating feedback information of the in-place supervisor, and uploading the feedback information to the power grid emergency command center.
For the specific implementation of each module in the system, please refer to the method flowchart and specific implementation content shown in fig. 2, which are not described herein again.
In the embodiment of the invention, the real-time condition near the maintenance operation site of the power transmission line is acquired through the image acquisition equipment, and the supervision condition of the maintenance operation of the overhead power transmission line is judged in sequence according to whether a supervisor is absent and whether the supervisor is unsupervised, so that the high-efficiency identification of the maintenance operation supervision condition of the overhead power transmission line can be realized, the personal risk of the site maintainer is effectively controlled, and the execution level of in-place supervision of the maintenance operation of the overhead power transmission line is improved.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable storage medium, and the storage medium may include: read Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disks, and the like.
The identification method and system for overhead transmission line operation in-place supervision provided by the embodiment of the invention are described in detail, a specific embodiment is adopted in the text to explain the principle and the implementation mode of the invention, and the description of the embodiment is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (10)
1. An identification method for overhead transmission line operation in-place supervision is characterized by comprising the following steps:
acquiring face information and image data near a power transmission line maintenance operation site through image acquisition equipment;
judging whether a supervisor exists near the power transmission line maintenance operation site or not based on the face information;
acquiring the actual distance between a supervisor and the center of the power transmission line overhauling site based on the image data after judging that the supervisor exists near the power transmission line overhauling site;
and feeding back the working condition of the supervisor based on the actual distance.
2. The overhead transmission line operation in-place supervision-oriented identification method according to claim 1, wherein the face information includes a binocular spacing, left eye coordinates, right eye coordinates, eye color, skin color, and face specific characterization.
3. The identification method for overhead transmission line operation in-place supervision according to claim 1, after determining whether a supervisor exists near the transmission line overhaul operation site, further comprising:
and if the fact that no supervisor exists nearby the power transmission line overhauling operation site is judged, first early warning information that the supervisor does not go on duty is generated, and the first early warning information is uploaded to a power grid emergency command center.
4. The overhead transmission line operation in-place supervision-oriented identification method according to claim 1, wherein the obtaining of the actual distance between the supervisor and the site center of the transmission line overhaul operation based on the image data comprises:
acquiring a center distance between two cameras included in the image acquisition device and a focal length of any one of the two cameras;
and acquiring the coordinate information of the imaging point of the photoreceptor of each camera of the two cameras by the supervisor based on the image data, and determining the actual distance between the supervisor and the center of the power transmission line overhaul operation site by combining the center distance and the focal length.
5. The identification method for overhead transmission line operation in-place supervision according to claim 1, wherein the feeding back the working condition of the supervisor based on the actual distance comprises:
judging whether the actual distance exceeds a preset safety supervision distance or not;
if so, generating second early warning information that the supervisor is out of supervision, and uploading the second early warning information to the power grid emergency command center;
and if not, generating feedback information of the in-place supervisor, and uploading the feedback information to the power grid emergency command center.
6. An identification system for overhead transmission line operation in-place supervision, the system comprising:
the acquisition module is used for acquiring face information and image data near a maintenance operation site of the power transmission line through image acquisition equipment;
the judging module is used for judging whether a supervisor exists near the power transmission line maintenance operation site or not based on the face information;
the acquisition module is used for acquiring the actual distance between a supervisor and the center of the power transmission line overhauling site based on the image data after judging that the supervisor exists near the power transmission line overhauling site;
and the feedback module is used for feeding back the working condition of the supervisor based on the actual distance.
7. The overhead power transmission line operation in-place supervision-oriented recognition system of claim 6, wherein the face information includes a binocular spacing, left eye coordinates, right eye coordinates, eye color, skin color, and face-specific characterizations.
8. The identification system for overhead transmission line operation in-place supervision according to claim 6, wherein the judgment module is further configured to generate first early warning information that a supervisor is not on duty after judging that no supervisor is present near the transmission line overhaul work site, and upload the first early warning information to a grid emergency command center.
9. The identification system for overhead transmission line operation in-place supervision according to claim 6, wherein the acquisition module is configured to acquire a center distance between two cameras included in the image acquisition device and a focal length of any one of the two cameras; and acquiring the coordinate information of the imaging point of the photoreceptor of each camera of the two cameras by the supervisor based on the image data, and determining the actual distance between the supervisor and the center of the power transmission line overhaul operation site by combining the center distance and the focal length.
10. The overhead transmission line work in-place supervision-oriented identification system of claim 6, wherein the feedback module is configured to determine whether the actual distance exceeds a preset safety supervision distance; if so, generating second early warning information that the supervisor is out of supervision, and uploading the second early warning information to the power grid emergency command center; and if not, generating feedback information of the in-place supervisor, and uploading the feedback information to the power grid emergency command center.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011079756.1A CN112329540A (en) | 2020-10-10 | 2020-10-10 | Identification method and system for overhead transmission line operation in-place supervision |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011079756.1A CN112329540A (en) | 2020-10-10 | 2020-10-10 | Identification method and system for overhead transmission line operation in-place supervision |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112329540A true CN112329540A (en) | 2021-02-05 |
Family
ID=74313293
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011079756.1A Pending CN112329540A (en) | 2020-10-10 | 2020-10-10 | Identification method and system for overhead transmission line operation in-place supervision |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112329540A (en) |
Citations (24)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002288402A (en) * | 2001-03-28 | 2002-10-04 | Ntt Comware Corp | Method for certifying arrival at locale of dispatched worker and managing his or her attendance in dispatch service, and server system for this method |
| WO2006097898A2 (en) * | 2005-03-17 | 2006-09-21 | Absentys, Llc | Personnel absence management and monitoring system |
| JP2006268140A (en) * | 2005-03-22 | 2006-10-05 | Nec Fielding Ltd | Attendance management system and method and program |
| CN102968689A (en) * | 2012-11-16 | 2013-03-13 | 江苏省电力公司徐州供电公司 | Intelligent monitoring method for remote control of power transformation overhaul work |
| CN203149677U (en) * | 2013-04-01 | 2013-08-21 | 谭娟 | Personnel in-place supervision and monitoring system |
| CN103338350A (en) * | 2013-05-31 | 2013-10-02 | 郭亚晋 | Construction transportation safety monitoring system |
| JP2014109466A (en) * | 2012-11-30 | 2014-06-12 | Yokohama National Univ | Object moving device, method, program, and recording medium |
| CN103925931A (en) * | 2014-04-30 | 2014-07-16 | 重庆环视科技有限公司 | Automatic stereoscopic vision geometric calibration system |
| JP2016076166A (en) * | 2014-10-08 | 2016-05-12 | 株式会社リコー | Attendance management system, attendance management method, and program |
| US9373014B1 (en) * | 2015-06-10 | 2016-06-21 | Parachute Systems, Inc. | Systems and methods for event monitoring using aerial drones |
| WO2017075932A1 (en) * | 2015-11-02 | 2017-05-11 | 深圳奥比中光科技有限公司 | Gesture-based control method and system based on three-dimensional displaying |
| CN206249386U (en) * | 2016-08-29 | 2017-06-13 | 昌邑市满国环卫工程有限公司 | Personnel management system |
| US9727979B1 (en) * | 2016-04-08 | 2017-08-08 | Robson Forensic, Inc. | Lifeguard positioning system and method |
| CN107481345A (en) * | 2017-08-30 | 2017-12-15 | 武汉创信博达信息技术有限公司 | Environmental protection inspection Work attendance management system and method |
| CN108174165A (en) * | 2018-01-17 | 2018-06-15 | 重庆览辉信息技术有限公司 | Electric power safety operation and O＆M intelligent monitoring system and method |
| CN208044361U (en) * | 2018-04-16 | 2018-11-02 | 广西越知网络股份有限公司 | A kind of multifunctional intellectual building site face identification system |
| CN109202853A (en) * | 2018-11-12 | 2019-01-15 | 国网四川省电力公司电力科学研究院 | A kind of power construction safety supervision robot |
| CN109637096A (en) * | 2019-01-09 | 2019-04-16 | 张珣 | Key post personnel leave the post early warning system |
| JP2019082972A (en) * | 2017-10-31 | 2019-05-30 | 株式会社ｊｉｎｚｙ | Management device, management method, management program, and management system |
| CN209281401U (en) * | 2019-01-30 | 2019-08-20 | 咪付（广西）网络技术有限公司 | A kind of Accreditation System for identification |
| CN110826538A (en) * | 2019-12-06 | 2020-02-21 | 合肥科大智能机器人技术有限公司 | Abnormal off-duty identification system for electric power business hall |
| US20200074383A1 (en) * | 2018-08-28 | 2020-03-05 | Caterpillar Inc. | System and method for automatically triggering incident intervention |
| CN111063049A (en) * | 2019-11-15 | 2020-04-24 | 北京国电通网络技术有限公司 | Power grid line engineering attendance checking method and system |
| CN112004067A (en) * | 2020-09-07 | 2020-11-27 | 智点恒创(苏州)智能科技有限公司 | Video monitoring method, device and storage medium |
-
2020
- 2020-10-10 CN CN202011079756.1A patent/CN112329540A/en active Pending
Patent Citations (24)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002288402A (en) * | 2001-03-28 | 2002-10-04 | Ntt Comware Corp | Method for certifying arrival at locale of dispatched worker and managing his or her attendance in dispatch service, and server system for this method |
| WO2006097898A2 (en) * | 2005-03-17 | 2006-09-21 | Absentys, Llc | Personnel absence management and monitoring system |
| JP2006268140A (en) * | 2005-03-22 | 2006-10-05 | Nec Fielding Ltd | Attendance management system and method and program |
| CN102968689A (en) * | 2012-11-16 | 2013-03-13 | 江苏省电力公司徐州供电公司 | Intelligent monitoring method for remote control of power transformation overhaul work |
| JP2014109466A (en) * | 2012-11-30 | 2014-06-12 | Yokohama National Univ | Object moving device, method, program, and recording medium |
| CN203149677U (en) * | 2013-04-01 | 2013-08-21 | 谭娟 | Personnel in-place supervision and monitoring system |
| CN103338350A (en) * | 2013-05-31 | 2013-10-02 | 郭亚晋 | Construction transportation safety monitoring system |
| CN103925931A (en) * | 2014-04-30 | 2014-07-16 | 重庆环视科技有限公司 | Automatic stereoscopic vision geometric calibration system |
| JP2016076166A (en) * | 2014-10-08 | 2016-05-12 | 株式会社リコー | Attendance management system, attendance management method, and program |
| US9373014B1 (en) * | 2015-06-10 | 2016-06-21 | Parachute Systems, Inc. | Systems and methods for event monitoring using aerial drones |
| WO2017075932A1 (en) * | 2015-11-02 | 2017-05-11 | 深圳奥比中光科技有限公司 | Gesture-based control method and system based on three-dimensional displaying |
| US9727979B1 (en) * | 2016-04-08 | 2017-08-08 | Robson Forensic, Inc. | Lifeguard positioning system and method |
| CN206249386U (en) * | 2016-08-29 | 2017-06-13 | 昌邑市满国环卫工程有限公司 | Personnel management system |
| CN107481345A (en) * | 2017-08-30 | 2017-12-15 | 武汉创信博达信息技术有限公司 | Environmental protection inspection Work attendance management system and method |
| JP2019082972A (en) * | 2017-10-31 | 2019-05-30 | 株式会社ｊｉｎｚｙ | Management device, management method, management program, and management system |
| CN108174165A (en) * | 2018-01-17 | 2018-06-15 | 重庆览辉信息技术有限公司 | Electric power safety operation and O＆M intelligent monitoring system and method |
| CN208044361U (en) * | 2018-04-16 | 2018-11-02 | 广西越知网络股份有限公司 | A kind of multifunctional intellectual building site face identification system |
| US20200074383A1 (en) * | 2018-08-28 | 2020-03-05 | Caterpillar Inc. | System and method for automatically triggering incident intervention |
| CN109202853A (en) * | 2018-11-12 | 2019-01-15 | 国网四川省电力公司电力科学研究院 | A kind of power construction safety supervision robot |
| CN109637096A (en) * | 2019-01-09 | 2019-04-16 | 张珣 | Key post personnel leave the post early warning system |
| CN209281401U (en) * | 2019-01-30 | 2019-08-20 | 咪付（广西）网络技术有限公司 | A kind of Accreditation System for identification |
| CN111063049A (en) * | 2019-11-15 | 2020-04-24 | 北京国电通网络技术有限公司 | Power grid line engineering attendance checking method and system |
| CN110826538A (en) * | 2019-12-06 | 2020-02-21 | 合肥科大智能机器人技术有限公司 | Abnormal off-duty identification system for electric power business hall |
| CN112004067A (en) * | 2020-09-07 | 2020-11-27 | 智点恒创(苏州)智能科技有限公司 | Video monitoring method, device and storage medium |
Non-Patent Citations (2)
| Title |
|---|
| 佚名: "江苏省住房和城乡建设局文件--关于实施施工现场主要管理人员在岗考核和‘两场’联动的通知", 《HTTP://WWW.KSQS.ORG.CN/CONTENT/CONTENT_VIEW.ASPX?ID=74F57738-766F-4ACA-BE43-FD470426A863》, 3 September 2012 (2012-09-03) * |
| 郑红等: "《嵌入式DSP应用系统设计及实例剖析—基于TMS320C/DM64x平台》", 31 January 2012 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110297498B (en) | Track inspection method and system based on wireless charging unmanned aerial vehicle | |
| WO2022188379A1 (en) | Artificial intelligence system and method serving electric power robot | |
| CN111161446B (en) | Image acquisition method of inspection robot | |
| CN106547814A (en) | A kind of power transmission line unmanned machine patrols and examines the structuring automatic archiving method of image | |
| CN111307823B (en) | System and method for detecting typical visual defects of power transformation equipment based on edge cloud cooperation | |
| CN107181323B (en) | Unmanned aerial vehicle line patrol system and method | |
| CN113705372B (en) | AI identification system for join in marriage net job site violating regulations | |
| CN112327906A (en) | Intelligent automatic inspection system based on unmanned aerial vehicle | |
| CN109297978B (en) | Binocular imaging-based power line unmanned aerial vehicle inspection and defect intelligent diagnosis system | |
| CN112800825B (en) | Key point-based association method, system and medium | |
| CN112671104A (en) | Transformer substation multidimensional scene control platform facing complex scene | |
| CN111244822A (en) | Fixed-wing unmanned aerial vehicle line patrol method, system and device in complex geographic environment | |
| CN112528979A (en) | Transformer substation inspection robot obstacle distinguishing method and system | |
| CN109885091B (en) | Unmanned aerial vehicle autonomous flight control method and system | |
| CN112433537B (en) | Visual monitoring method and system for power transmission line iron tower erection construction | |
| CN111710030A (en) | AI-based system and method for resisting deep forgery portrait | |
| CN208384644U (en) | Unmanned plane Power Line Inspection System | |
| CN108184096B (en) | Panoramic monitoring device, system and method for airport running and sliding area | |
| CN112329540A (en) | Identification method and system for overhead transmission line operation in-place supervision | |
| CN114554167B (en) | Intelligent holographic projection system based on big data | |
| CN212208397U (en) | Security inspection system | |
| CN113989886A (en) | Crew identity verification method based on face recognition | |
| CN109644263A (en) | First smart machine and attaching method thereof and device with store function | |
| CN114531700A (en) | Non-artificial base station antenna work parameter acquisition system and method | |
| CN112417995B (en) | Substation maintenance operation in-place supervision-oriented identification method and system |
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: 20210205 |
|
| RJ01 | Rejection of invention patent application after publication |