Oil and gas industry

In order to cope with the situation where it is difficult to complete standardized and normalized inspections of long-distance oil pipelines and the trouble that it often takes a long period of time from problem discovery, evidence collection to final settlement, I-KINGTEC is making efforts to realize the digital construction of long-distance oil pipelines and shift inspections from “post-processing” to “pre-warning” through using the technologies such as the deep learning and semantic segmentation.

  • Fully autonomous inspection, intelligent identification

  • Post-incident processing shifts to pre-warning

  • Closed system for the whole process of inspection

  • Standardization, high frequency, normalization, 24-hour in working

01 Assign inspection tasks

Staffs working with pipeline network can remotely start the “Orcas” inhabited in “Tiger dens” to autonomously perform the inspection tasks through the “Tiger vision” four-dimensional holographic control system.

02Replace batteries and pods automatically

“Tiger dens” can automatically replace the batteries and sensor pods for the “Orcas”, then the “Orcas” can take off again to perform their missions just in 3 minutes.

04Cloud intelligent computing

The “Orcas” return the power inspection defect data to the “Tiger vision” four-dimensional holographic control platform in real time. Based on the artificial intelligence algorithms, power inspection reports will be created immediately.

03“Orcas” take-off automatically

Use 30× optical zoom pods and infrared thermal imaging pods to collect data

work process

work process

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01 Assign inspection tasks

Staffs working with pipeline network can remotely start the “Orcas” inhabited in “Tiger dens” to autonomously perform the inspection tasks through the “Tiger vision” four-dimensional holographic control system.

02Replace batteries and pods automatically

“Tiger dens” can automatically replace the batteries and sensor pods for the “Orcas”, then the “Orcas” can take off again to perform their missions just in 3 minutes.

03“Orcas” take-off automatically

Use 30× optical zoom pods and infrared thermal imaging pods to collect data

04Cloud intelligent computing

The “Orcas” return the power inspection defect data to the “Tiger vision” four-dimensional holographic control platform in real time. Based on the artificial intelligence algorithms, power inspection reports will be created immediately.

Oil and gas pipeline network application

The digital and intelligent transformation and upgrading of the traditional energy industry has become the focus and direction of enterprise development. The operation and maintenance of long-distance oil pipelines and oil and gas fields has gradually developed from a traditional management model to an "unmanned" operation and maintenance model. I-KINGTEC builds a system plan for a three-dimensional holographic IoT network for long-distance oil pipelines and oil and gas field scenarios. The running of long-distance oil pipelines and oil and gas fields has gradually developed from a traditional management model to an "unmanned" operation and maintenance model. Through using the “industrial drones + fully automated airports” as data collection carrier and integrating advanced technologies such as digital twins, AI and the IoT, I-KINGTEC is building a three-dimensional holographic IoT network for long-distance oil pipelines and oil and gas fields, committing to complete the construction of unattended inspection work mode in the oil and gas pipeline network, so that the staff can control the overall situation indoors.

  • Fully autonomous inspection, intelligent identification
  • Closed system for the whole process of inspection
  • Post-incident processing shifts to pre-warning
  • Standardization, high frequency, normalization, all-day

The product system can be deployed in the factory

To cope with long oil pipelines, multiple systems can complete leapfrog continuous inspections

Autonomous recognition of people and cars based on semantic segmentation

Front-end identification and evidence collection for abnormal phenomena

Data collected by drones can be remotely transmitted back to the platform in real time

Comprehensive management and control platform completes big data analysis