SENTER AI-Powered Visual Inspection Solution for Transmission Lines
Indonesia’s long‑span overhead transmission lines run through remote area. Harsh weather demands high waterproof, anti‑lightning and long‑battery performance for field devices. External threats including construction‑caused wire damage and kites wildfire raise fault risks. Fault recovery is slow and leads to economic loss. Following the “safety first, prevention first” principle, enhanced inspections are required to detect and resolve defects and hazards, with proper safety measures put in place.
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
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:
Effective demonstration:
Installation picture Channel picture
Tower Base Pictures Night Vision Pictures
Technical Parameters:
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Camera |
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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) |
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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) |
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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) |
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Minimum illumination |
Color: 0.001Lux@F1.5 Black & White: 0.0005Lux@F1.5 0Lux (IR) |
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Maximum fill light distance |
100m(Infrared fill light) |
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Type of fill light |
Infrared fill light |
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Wiper function |
Manual wipers |
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Camera lens |
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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) |
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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) |
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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) |
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Optical zoom |
40X |
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Focus mode |
Automatic/semi-automatic/manual |
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PTZ |
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Rotation range |
Horizontal: 0°~360° continuous rotation Vertical: -90°~+90° |
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Preset point |
256 |
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3D Positioning |
Support |
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Keying speed |
Horizontal: 0.1°/s to 23°/s Vertical: 0.1°/s to 23°/s |
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Preset point speed |
Horizontal: 0.1°/s to 23°/s Vertical: 0.1°/s to 23°/s |
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Professional Intelligence |
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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. |
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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. |
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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 |
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Video |
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Video compression standard |
H.264;H.265;MJPEG |
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Day-to-Night Conversion |
Time Zone Positioning / Optical Sensing |
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Wide dynamic (physics) |
Support |
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Fog permeability |
Electronically transparent fog |
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Digital zoom |
16X |
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Signal-to-noise ratio |
≥55dB |
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Anti-shake function |
Electronic stabilization |
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Internet |
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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 |
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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 |
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Wi-Fi |
Supported, but recommended for testing only |
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Functionality |
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Regional Focus |
Supported |
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OSD information overlay |
Support channel name, time, preset point position, PTZ coordinates, magnification, geographic location, picture |
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Power supply |
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Power supply method |
Solar panel plus battery |
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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) |
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Solar panel/battery capacity |
Standard 6.4V 37.5 AH LiFe + 12V 30W PV panel 20 days |
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Power supply |
Lithium iron phosphate batteries or gel batteries |
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Working environment |
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Operating temperature |
-25℃~+70℃ |
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Operating humidity |
≤95% |
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Protection class |
IP67 |
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Framework |
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Shell material |
Die-cast aluminum |
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Product Size |
277.1mm×202m×232.9mm(L×W×H) |
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Net weight |
4.7kg |
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Installation method |
Wall-mounted, angle-mounted |
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Other items |
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Night vision grade |
Starlight Rating |
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Storage capacity |
Optional add-on TF card 16G, 32G, 64G, 128G |
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Antennas |
Built-in antenna |
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Positioning function |
Support GPS |
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MTBF |
≧30000hours |
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Camera mounting adjustability |
Omni-directional manual adjustment according to transmission line direction |
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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:
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Projects |
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Reference Configuration |
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Tower tilt S6310 |
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Inclination measurement range: biaxial -10°~+10° (optional -30° ~+30°, -60°~+60° or -90°~+90°); Inclination measurement error: ≤±0.05°; Inclination measurement resolution: ±0.01° |
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Micro Weather module(Three combinations available)ST6140 |
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Wind speed |
Wind direction |
Temperature |
Humidity |
Atmospheric pressure |
Rainfall |
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4 Elements |
√ |
√ |
√ |
√ |
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5 Elements |
√ |
√ |
√ |
√ |
√ |
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6 Elements |
√ |
√ |
√ |
√ |
√ |
√ |
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Technical Parameter |
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Micro Weather |
Name |
Measurement Range |
Error Range |
Resolut |
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Temperature |
-30℃~+85℃ |
±0.5℃ |
0.1℃ |
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Humidity |
0~100% |
±4%RH |
1%RH |
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Atmospheric pressure |
0~100% |
±4%RH |
0.1hPa |
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Wind speed |
0~75m/s |
±(0.3+0.03V)m/s |
0.1m/s |
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Wind direction |
0~360° |
±3° |
0.5° |
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Rainfall |
0~4mm/min |
±0.4mm (when ≤10mm) ±4% (when >10mm) |
0.2mm |
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Audible and visual alarms S6150 |
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Meet 200 meters away can hear the alarm sound and can clearly distinguish the voice content, can see the obvious light |
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Sub-machine |
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Camera pixel: 8 megapixel for general light as standard. Optional 16-megapixel general light camera, 2-megapixel night vision camera |
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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
- Automation Technologies
- Big Data Analytics
- Energy Services and Energy Management
- Internet of Things (IoT)
- IT Integrators
- Maintenance
- Measurement, Controls & Tracking Systems Back-up

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