Patented Cables

Neural Network Cables

Eastful has developed an innovative solution based on traditional cables, known as Neural Network Cables, which integrate five advanced sensing capabilities: "temperature sensing," "fault detection," "breakage detection," "partial discharge monitoring," and "current sensing." This breakthrough solution is complemented by GIS (Geographic Information System) technology, enabling precise localization of abnormal cable positions on satellite maps. It represents a convergence of sensor technology, computer technology, Internet of Things (IoT) technology, and polymer material technology, creating a new generation of cable products.

Application

Infrastructure Monitoring: Real-time monitoring and precise localization of cable abnormalities on satellite maps using GIS technology.

Safety and Security: Enhancing safety and security by detecting potential cable hazards, such as overheating or damage, in critical infrastructure like power grids, transportation networks, and telecommunications systems.

Industrial Automation: Integration into industrial automation systems for real-time monitoring of cable conditions in manufacturing plants, oil refineries, and other industrial facilities.

Smart Cities: Deployment in smart city initiatives for monitoring underground cable networks, enabling efficient maintenance and reducing service disruptions.

Environmental Monitoring: Monitoring cable conditions in environmentally sensitive areas, such as underwater cables in marine ecosystems or cables in extreme weather conditions, to prevent environmental damage.

Emergency Response: Providing vital information during emergency situations, such as natural disasters or accidents, by quickly identifying cable faults and facilitating rapid response and recovery efforts.

Remote Monitoring: Enabling remote monitoring of cable infrastructure in remote or inaccessible locations, improving operational efficiency and reducing the need for onsite inspections.

Function

Temperature Sensing:

1.Real-time monitoring and visualization of cable temperature.

2.Early warning of temperature abnormalities and potential overload.

3.Providing insights for power dispatching and extends cable service life.

Fault Detection:

1.Real-time monitoring and location identification of cable faults.

2.Minimizing downtime and repair costs caused by cable explosions or sabotage.

Breakage Detection:

1.Real-time monitoring of the cable vibration to prevent damage from rough construction or theft.

2.Integrated with security systems for enhanced protection.

Partial Discharge Monitoring:

1.Real-time detection by utilizing high-frequency current.

2.Preventing insulation breakdown by accurately monitoring partial discharge phenomena.

Current Sensing:

1.Real-time monitoring of the cable current for power measurement and energy metering.

2.Programmable with high accuracy, suitable for various automation applications.

Performance

1.Rated voltage: 0.6/1kv, 8.7/10(15)KV, 26/35KV

2.Maximum working temperature: 90℃

3.Maximum conductor temperature at short circuit (max. duration 5s): 250℃

Construction

1.Conductor: Single copper wire stranded

2.Insulation: Extruded XLPE

***This is customized product and can be designed according to customers’ request.

Low Voltage Neural Network Cables

Nominal Cross-Sectional Area of Conductor Nominal Thickness of Insulation Nominal Cross-Sectional Area of Conductor Nominal Thickness of Insulation

mm2 mm mm2 mm

16
0.7 150
1.4

25、35 0.9 185 1.6

50 1 240
1.7

70、95 1.1 300 1.8

120 1.2 400
2

Medium Voltage Neural Network Cables

Nominal Cross-Sectional Area of Conductor
Nominal Thickness of Insulation at Rated voltage U0/U--8.7/10(15)KV

Nominal Thickness of Insulation at Rated voltage U0/U--26/35KV

mm2 mm mm

25、35 4.5 —

50~400 4.5 10.5

More Products