SENTER AI-Powered Visual Inspection Solution for Transmission Lines
1. Project Purpose
The Tower Security System is required to protect critical 150 kV
transmission towers that supply electrical power from the Power Plant to Batu
Hijau’s Mine, Process Plant, Townsite, and auxiliary
facilities. The system is intended to prevent theft, vandalism, and
unauthorized access through an integrated security solution to provide
continuous monitoring, deterrence, and early warning.
Ø In the case of visualization, leaders or
supervisors can check whether the operation process is standardized or violated
without going to the site.
Ø Unexpected power outage maintenance, you can check
the scene situation through real-time video, and keep the data on file
Ø Realize
visual monitoring of transmission lines
2. Solution
The application image/video surveillance
equipment/with expansion module is installed on the tower, and the line channel
environment is obtained in real time through wireless bridge communication
technology. Using image processing technology-based automatic warning of
foreign body intrusion(including recognition of smoke, fire, and personnel),
intelligent identification of hidden danger types and other line visual
protection technologies, timely early warning of external damage hidden dangers
in line passages. The early warning information is fed back to the line
inspectors in real time to eliminate hidden dangers in a timely manner, and
establish an efficient visual protection of transmission
and distribution lines that integrates human defense, physical defense,
and technical defense systems.
The intelligent
visual inspection system for power transmission and
distribution lines adopts information technology means
such as visual monitoring, intelligent image analysis, equipment information
management, hidden danger management, directional group sending of short
messages, and mobile APP to receive the on-site situation at the first time and
provide solutions. Minimize the operation and maintenance costs of manpower and
material resources, and realize the visual real-time monitoring and management
of channel hidden dangers. Focus on preventing off-line construction,
wildfires, trees, short circuits of foreign objects, bird damage human-body
monitoring (can prevent human theft and damage to the tower material) and other
external damages, and build a three-level inspection system that combines
professional, regional, and public protection. Using modern intelligent online
monitoring methods, back-end data analysis and comparison are carried out
according to the types of hidden dangers in the channels. Transmit data to
professionals in a timely manner to realize intelligent management of power
grid, equipment, personnel and hidden dangers in the whole process of
visualized operation and maintenance.
Transmission
and distribution lines
channel visual operation and maintenance management system target system
The main workflow
of the visual operation and maintenance management of transmission and
distribution line channels is as follows: the staff
finds the hidden danger of external force damage to the channel during the
daily inspection and centralized hidden danger investigation, professional
management personnel verify and confirm on the spot, and install the visual
monitoring device at the hidden danger point to monitor the hidden danger
situation in real time and collect data. In order to further support
professionals' ability to identify potential types of hidden dangers and better
arrange various disposal work on site, the intelligent server in the background
integrates functions such as visual monitoring module, image intelligent
analysis module, equipment information management module, and hidden danger
management module, and collects a large number of channels. Operation and
maintenance information can realize multi.
2.1 AI Functional
Verification
The main products are
intelligent analysis software products and their advanced applications, mainly
including intelligent applications such as channel hidden danger target
detection, fire recognition,smoke recognition bird damage recognition, human
body recognition and construction machinery recognition. In addition to
background analysis, they all support edge computing for related functions,
empowering front-end devices with intelligence.
2.1.1
Types of image intelligent recognition
The identification types are as follows:
(1) Construction machinery intelligent early warning module: Realize
intelligent identification, early warning and push functions for common
construction machinery, such as excavators, fixed cranes, mobile cranes,
bulldozers, pump trucks, etc.;
(2) Pyrotechnic intelligent early warning module: realize intelligent
identification, early warning and push functions for open flames and dense
smoke;
(3) Foreign object intelligent early warning module: realize the
intelligent identification, early warning and push function of foreign objects
hanging on wires, insulators, and iron towers; for example, AI recognition of
kites.
(4) Micro-meteorological data acquisition module(optical): realize automatic
acquisition of data such as temperature, humidity, wind speed, air pressure,
wind direction, precipitation, etc. near the tower;
(5)Human identification around towers and
transmission lines: can effectively prevent human theft and damage to tower
materials
Construction
machinery Thick smoke,
wildfire
Wire foreign matter Personnel activities
Night recognition
Missing insulator
Ice cover detection(optical) Infrared
thermal imaging(optical)
Line galloping detection(optical) Image defogging processing
Human
body recognition
2.1.2 Edge computing
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Intelligent Analysis Module AI intelligent analysis Algorithm
The edge IoT intelligent terminal supports the
edge gateway function, and has a built-in front-end intelligent analysis module
to support edge computing and analysis. It can intelligently analyze the
collected pictures and the state quantities of each sensor, complete the
preliminary early warning of the risk identification of the line channel
environment, tower body, and fault information locally, and transmit the alarm
signal to the background for further analysis and processing. At the same time,
it supports algorithm upgrade, saves channel bandwidth and background server
computing power, improves the reliability and efficiency of fault early
warning, and realizes strategic fault monitoring.
2.2 Platform function
The system is a B/S architecture, providing
a variety of standard interfaces for easy use and data exchange.
The main functions are as follows:
1.Line channel visualization:The combination of maps and charts fully
displays device distribution, line operating conditions, asset operation and
maintenance, etc. Big data reports can be exported with one click, and main
functions can be reached with one click.
2. Click any thumbnail to enter the corresponding device operation
interface.
A total of 10
pictures are displayed and arranged in reverse chronological order. It has the
functions of historical photo browsing, channel information browsing, WeChat
push, active photo shooting, short video shooting, quick switching of adjacent
devices or lines, and quick return.
3. Device distribution visualization: locate the
front-end device position and realize the visualization of monitoring point
distribution.
4. Query statistics: Provide a variety
of statistical information, including: historical photo query, alarm
information record, device manufacturer, access rate, integrity rate
statistics, etc.
Daily photo query, all or conditional
query can be carried out according to diversified conditions such as power
supply company, line, tower, device, and shooting time period. Provide photo
download function.
5.
Picture patrol: All patrols and early warning patrols can
be performed, and conditional patrols can be performed according to various
information such as routes and key groups. The patrol speed, screen layout,
etc. can be freely set. It can directly take active photos and WeChat push.
Quickly and intuitively patrol the latest situation of each monitoring point
and deal with it directly.
6. Manual inspection: Combined with the
manual inspection plan of the power supply company, it has the functions of
issuing tasks, tracking personnel trajectories, and performing inspections.
2.3 Mobile Visual App
Currently,
SENTER's mobile visualization app is available for both Android and iOS
devices. The app's functionality is similar to the platform's basic features,
primarily allowing users to view images, videos, alarm information, and view
live video function.
2.4 Product introduction
ST2303B/S V6P
Products:
Omni-directional
PTZ equipment is equipped with omni-directional PTZ zoom lens and Day &
Night Lens, and supports optional downview lens. It can be equipped with
micro-meteorological sensors, tower tilt, conductor galloping sensor and other
online monitoring sensors to realize three-dimensional intelligent inspection
of transmission line channels and the body.
Effective demonstration:
Installation picture Channel picture
Tower Base
Pictures Night Vision
Pictures
Technical Parameters:
|
Camera |
|
|
Sensor type |
Zoom: 1/2.8-inch CMOS Day vision: 1/4-inch CMOS Night vision: 1/2 inch CMOS Down view: 1/4-inch CMOS (optional) Rear view: 1/4-inch CMOS (optional) Wide angle: 1/2.7-inch CMOS (optional) |
|
Pixels |
Zoom: 2
million Day Vision: 16 million Night
vision: 2 million Down view: 16 million (optional) Rear view:
16 million (optional) Wide
angle: 16 million (optional) |
|
Maximum
resolution |
Zoom:
1920×1080 Day vision: 4608×3456 Night
vision: 1920×1080 Down view vision: 4608×3456 (optional) Rear view:
4608×3456 (optional) Wide
angle: 1920×1280 (optional) |
|
Minimum
illumination |
Color:
0.001Lux@F1.5 Black
& White: 0.0005Lux@F1.5 0Lux (IR) |
|
Maximum
fill light distance |
100m(Infrared fill light) |
|
Type of
fill light |
Infrared
fill light |
|
Wiper
function |
Manual
wipers |
|
Camera lens |
|
|
Focal length of lens |
Zoom: 5.5-130mm 5-220mm (optional) Day vision: 3.7mm Night vision: 4.9mm Down view vision: 3.7mm (optional) Rear view: 3.7mm
(optional) |
|
Lens aperture |
Zoom: F1.5-F3.8 F2.2-F4.7 (optional) Day vision: F2.0 Night vision: F1.65 Down view vision: F2.0 (optional) Rear view: F2.0
(optional) Wide angle: F2.4
(optional) |
|
Field-of-view angle |
Zoom: 56.9-2.9
(wide-angle - telescopic) Day vision: V50.6°H64.3°D76.2° Night vision:
V46°H82°D94° Down view vision: V50.6°H64.3°D76.2°
(optional) Rear view:
V50.6°H64.3°D76.2° (optional) Wide angle:
V61°H112°D132° (optional) |
|
Optical zoom |
40X |
|
Focus mode |
Automatic/semi-automatic/manual |
|
PTZ |
|
|
Rotation range |
Horizontal: 0°~360° continuous rotation Vertical: -90°~+90° |
|
Preset point |
256 |
|
3D Positioning |
Support |
|
Keying speed |
Horizontal: 0.1°/s
to 23°/s Vertical: 0.1°/s to 23°/s |
|
Preset point speed |
Horizontal: 0.1°/s to 23°/s Vertical: 0.1°/s to 23°/s |
|
Professional Intelligence |
|
|
Intelligent
identification |
Supports automatic
identification of common hidden dangers in transmission corridors:
construction equipment (tower cranes, cranes, pump trucks, excavators,
bulldozers, shovels, rollers, forklifts, piling rigs, graders, gravers,
insulated bucket trucks, trucks), missing fixtures (insulators with blown
pieces, insulators with missing pieces, fixture pins with missing pins),
smoke from hill fires (smoke, open fires), and foreign objects in conductor
wires (foreign objects above the wires, foreign objects under the
wires-dust-proof nets, foreign objects below the wires-reflective films), and
so on. |
|
Front-end analysis |
Supports hidden danger analysis on the device
side after the device has captured the hidden danger, and transmits the
analysis results directly back to the back-end, shortening the vacuum period
of image analysis and reducing the pressure on the back-end server. |
|
Local storage back-end access |
Support equipment to locally store the video
recording video, take the cycle to cover the storage mode, support the
back-end at any time to access the equipment side of the video recording,
reduce traffic costs |
|
Video |
|
|
Video
compression standard |
H.264;H.265;MJPEG |
|
Day-to-Night
Conversion |
Time Zone
Positioning / Optical Sensing |
|
Wide dynamic (physics) |
Support |
|
Fog permeability |
Electronically transparent fog |
|
Digital zoom |
16X |
|
Signal-to-noise
ratio |
≥55dB |
|
Anti-shake
function |
Electronic stabilization |
|
Internet |
|
|
Network protocol |
HTTP;HTTPS;TCP/IP;IPv4;RTSP;UDP;SMTP;NTP;DHCP;DNS;DDNS;IPv6;802.
1x;SSL;Qos;FTP;UPnP;ICMP;SNMP;SNMPv1/v2c/v3(MIB2);IGMP;ARP;RTCP; RTP;PPPoE;IP
Filter;RTMP;Bonjour;TCP;SMB;NFS;NA |
|
Wireless standard |
3G/4G/5G China/lndia: LTE
FDD:B1/B3/B5/B8 LTE
TDD:B34/B38/B39/B40/B41 WCDMA:B1/B8 TD-SCDMAB34/B39
EVDO/CDMA:BC0 GSM:900/1800MHZ
Europe and South America: LTE FDD: B1/B2/B3/B4/B5/B7/B8/B20/B28
LTE TDD: B38/B39/B40/B41 WCDMA: B1/B2/B4/B5/B8
GSM: 850/900/1800/1900MHz |
|
Wi-Fi |
Supported,
but recommended for testing only |
|
Functionality |
|
|
Regional Focus |
Supported |
|
OSD information overlay |
Support channel name, time, preset
point position, PTZ coordinates,
magnification, geographic location, picture |
|
Power supply |
|
|
Power supply method |
Solar panel
plus battery |
|
Power wastage |
Dormant power consumption: 0.03W (device power on
without any operation, tested after 30 minutes, only ensure MCU power supply) Stationary Power Consumption: 0.47W (the device
is turned on without any operation, tested after 30 minutes, channel camera
and zoom lens for 20 minutes, transmitting 4G data, 3 preset bits switching
in turn) Video power consumption: 2.7W (the device is
turned on the video state, turn on 4G, no fill light) Peak power consumption: 9.9W (the device is
turned on the video state, while capturing and analyzing pictures and
uploading turned on, fill light) |
|
Solar panel/battery capacity |
Standard 6.4V 37.5 AH LiFe + 12V 30W PV panel
20 days |
|
Power supply |
Lithium iron phosphate batteries or gel batteries |
|
Working environment |
|
|
Operating
temperature |
-25℃~+70℃ |
|
Operating
humidity |
≤95% |
|
Protection class |
IP67 |
|
Framework |
|
|
Shell material |
Die-cast aluminum |
|
Product Size |
277.1mm×202m×232.9mm(L×W×H) |
|
Net weight |
4.7kg |
|
Installation
method |
Wall-mounted, angle-mounted |
|
Other items |
|
|
Night vision
grade |
Starlight Rating |
|
Storage capacity |
Optional add-on
TF card 16G,
32G, 64G, 128G |
|
Antennas |
Built-in antenna |
|
Positioning function |
Support GPS |
|
MTBF |
≧30000hours |
|
Camera
mounting adjustability |
Omni-directional manual
adjustment according to transmission line direction |
|
Monitoring cycle |
Front-end analysis of the default
interval of 5 minutes a photo, timed return default 1 hour a photo, and sampling time
period can be freely set;
equipment to take pictures of the front-end analysis, identification
of hidden problems immediately return, no hidden problems return timed return |
Option table:
|
Projects |
|
Reference Configuration |
|||||||
|
Tower tilt S6310 |
|
Inclination measurement range:
biaxial -10°~+10° (optional
-30° ~+30°,
-60°~+60° or -90°~+90°); Inclination measurement
error: ≤±0.05°; Inclination measurement resolution: ±0.01° |
|||||||
|
Micro Weather module(Three combinations available)ST6140 |
|||||||||
|
|
Wind speed |
Wind
direction |
Temperature |
Humidity |
Atmospheric
pressure |
Rainfall |
|||
|
4 Elements |
√ |
√ |
√ |
√ |
|
|
|||
|
5 Elements |
√ |
√ |
√ |
√ |
√ |
|
|||
|
6 Elements |
√ |
√ |
√ |
√ |
√ |
√ |
|||
|
Technical Parameter |
|||||||||
|
Micro Weather |
Name |
Measurement Range |
Error Range |
Resolut |
|||||
|
Temperature |
-30℃~+85℃ |
±0.5℃ |
0.1℃ |
||||||
|
Humidity |
0~100% |
±4%RH |
1%RH |
||||||
|
Atmospheric
pressure |
0~100% |
±4%RH |
0.1hPa |
||||||
|
Wind speed |
0~75m/s |
±(0.3+0.03V)m/s |
0.1m/s |
||||||
|
Wind direction |
0~360° |
±3° |
0.5° |
||||||
|
Rainfall |
0~4mm/min |
±0.4mm (when
≤10mm) ±4% (when
>10mm) |
0.2mm |
||||||
|
Audible and visual alarms S6150 |
|
Meet 200 meters
away can hear the alarm
sound and can clearly
distinguish the voice content, can see the obvious light |
|||||||
|
Sub-machine |
|
Camera pixel: 8 megapixel for general light
as standard. Optional 16-megapixel general
light camera, 2-megapixel night vision camera |
|||||||
4. Project Necessity
The line channel
environment is complex and diverse, covering many transmission line application
scenarios, and its importance is beyond doubt. In order to better realize the
application of the ubiquitous power Internet of Things in the online monitoring
of power transmission and realize the intelligent management of the line,
through the installation of hidden danger monitoring and early warning devices,
an efficient and visual protection system for transmission lines will be
created to realize real-time perception of line channels.
4.1 Security Analysis
In recent years, with the rapid development of social economy, various
industries have put forward higher requirements for the quality of power supply
of power companies. Matching, external force damage to transmission lines
occurs frequently, which seriously threatens the safe and stable operation of
transmission lines.
4.1.1 The speed of power grid construction does not
match the growth rate of operation and maintenance personnel
With the construction of the power grid and the commissioning of new lines,
the number of transmission lines has increased year by year, but there is a
serious shortage of lean operation and maintenance of line channels and
staffing.
4.1.2 There are many types of hidden dangers in
transmission channels, which are difficult to manage and control
The transmission line channel stretches for dozens of kilometers, each line
has nearly a hundred towers, and the external operation and maintenance
environment is complex. Incidents such as construction collisions, foreign
objects short-circuiting, soil excavation and piles; tree-line contradictions
in sparsely populated areas, mountain fires in passages, and equipment theft
also emerged one after another. While the daily inspection tasks are completed,
it is impossible for inspection personnel to know the situation of each base
tower, and there are inevitable blind spots in management.
4.2 Performance and Cost Analysis
4.2.1
Economic Benefit Analysis
4.2.1.1 Extend the manual inspection cycle and save
operation and maintenance costs
At present, the traditional line
operation and maintenance mode is mainly based on regular inspections and
special inspections. The installation of hidden danger monitoring and early
warning devices can gradually replace on-site inspections by means of remote
inspections, reducing the outage rate and personnel's off-duty time, saving
maintenance costs, and facilitating The limited operation and maintenance force
is devoted to more important work.
4.2.1.2 Timely discover and stop hidden dangers of external damage, reduce
line failures and economic losses
The environment of the line channel is intricate, and
there are different hidden dangers of external damage at every moment. In the
high-incidence area of external force damage, the frequency of image
acquisition can be increased through terminal application settings, and the
abnormal situation in the monitoring area can be determined in the shortest
time. , and actively push the pictures of hidden dangers to the main management
personnel and technical personnel in time, so as to gain more processing time for
the staff and avoid accidents such as tripping.
4.2.2 Social benefit analysis
If the external force
damage of the transmission line is not detected and dealt with in time, it will
easily evolve into a serious accident such as a power outage, or even a tower
collapse, causing serious social adverse effects such as a large-scale power
outage.
Traditional inspections require high-density
inspectors to inspect key areas to avoid hidden dangers of external damage.
Even so, there is still the possibility of external sabotage within the time
when the inspectors rush to the scene, and the purpose of real-time monitoring
cannot be achieved. By installing the hidden danger monitoring and early
warning device, hidden dangers can be found at the first time, and then the
closed-loop treatment of hidden dangers can be completed in the shortest time
through online shouting, dispatching personnel to eliminate defects, etc.,
effectively reducing or eliminating accidents caused by hidden dangers. .
After adopting the new visual operation and maintenance management mode of transmission lines, the background can set the on-site image acquisition frequency to a minimum of once per minute.
Categories
- Analytics Platforms & Visualization
- Artificial Intelligence
- Asset Management
- Big Data Analytics
- Energy Services and Energy Management
- IT Integrators
- Maintenance
- Measurement, Controls & Tracking Systems Back-up
- Internet of Things (IoT)
- Automation Technologies

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