Enterprise Application Area D20

Infrared vision development services for oil and gas upstream, well sites and long-distance pipelines

Targeting equipment manufacturers, system integrators and enterprise R&D related to "upstream oil and gas, well sites and long-distance pipelines", it provides infrared data evaluation, algorithm development, equipment/platform integration and test acceptance, covering 8 types of enterprise application scenarios.

Service scope and implementation plan

direction numberD20
Demand scenario8 items
main inputLWIR L2/L3;
Typical routeT03、T04、T17、T02、T19、T14、T08、T06、T05、T20

The project scope is determined based on samples, equipment, working conditions and written indicators; general modules, special models and multi-sensor integration are configured according to the evaluation results.

Application scenarios and development content

IR153

Thermal anomalies in wellhead, Christmas tree valves and flanges

Minimum input and technical route
LWIR L2/L3;T03+T04
target output
Component temperature, abnormality and inspection records
Implementation
Partially reusable
critical acceptance
Comparison with process parameters/contact temperature
IR154

Heating furnace tubes and refractory hot spots

Minimum input and technical route
MWIR/LWIR L2/L3;T17
target output
Furnace tube/wall temperatures, hot spots and trends
Implementation
High temperature model required
critical acceptance
Compare with temperature measurement/furnace shutdown inspection
IR155

Crude oil/natural gas pipeline insulation damage and leakage heat traces

Minimum input and technical route
LWIR L2/L3;T02+T19
target output
Anomalous areas, spreads and events
Implementation
On-site data required
critical acceptance
Minimum visible anomaly, false alarm/km
IR156

Underground pipeline paths and leaky surface thermal anomaly candidates

Minimum input and technical route
UAV/Ground LWIR L2/L4;T14
target output
Thermal anomaly layer and review coordinates
Implementation
Required environment model
critical acceptance
Compare with excavation/pressure true value, positioning error
IR157

Tank level, sedimentation and insulation abnormal thermal boundaries

Minimum input and technical route
LWIR L2;T02+T04
target output
Level/Deposition Candidates and Shell Hot Zones
Implementation
Requires working condition verification
critical acceptance
Compare with level gauge/tank clearing record
IR158

Correlation between wellsite torch flame existence, stability and black smoke emission

Minimum input and technical route
MWIR/RGB L3/L4;T08+T06
target output
Flame states, swings and events
Implementation
Dual optical data required
critical acceptance
Compare to process/emission records, event F1
IR159

UAV dual-light inspection of oil and gas facilities

Minimum input and technical route
RGB-LWIR/MWIR L4;T06+T14
target output
Assets, Thermal Anomalies, Visible Defects and GIS
Implementation
Need system integration
critical acceptance
Asset correlation rate, coverage rate, positioning error
IR160

Thermal status baseline of similar equipment in pipeline stations

Minimum input and technical route
LWIR L2/L3;T05+T20
target output
Device fleet baselines, outliers, and review checklists
Implementation
Partially reusable
critical acceptance
Working condition normalization and sorting stability

Information required before project evaluation

  • Target equipment/object, site conditions, business processes and follow-up actions to be taken
  • Infrared camera, lens, spectral band, installation distance, field of view, resolution and data interface
  • Original samples and collection parameters under normal, abnormal, boundary and interference conditions
  • Reference truth values and annotation specifications for temperatures, parts, states, or events
  • Target platform, network, interface, storage, latency and operating resource constraints
  • False positives, missed negatives, manual review, linkage, failure handling and acceptance thresholds

Implementation and delivery methods

  1. Project input confirmationCheck camera, spectral band, bit depth, SDK, environmental conditions, sample and acceptance true value.
  2. Sample verificationVerify key processing links, applicable conditions and abnormal working conditions, and determine the development scope and acceptance methods.
  3. Algorithm development and integrationImplement data parsing, algorithms, quality gating, interfaces and target platform deployment.
  4. Test acceptance and handoverRetest according to the agreed test set and target platform, and hand over the deliverables, test results and applicable conditions.
  • Requirements and technical solutions, input and output and interface field definitions
  • Algorithm library, model or SDK/API; delivery form is confirmed in the project plan
  • Sample program, parameter configuration, error status and calling instructions
  • Test set version, indicator definition, stratification results and failed sample records
  • Target platform adaptation, resource usage and running delay records
  • Version, dependencies, license, reproduction steps and applicable conditions description

Acceptance design

Each scenario establishes independent test cases according to "key acceptance". When sharing models across scenarios, results are reported separately for each scenario, distance, load, environment, and target size, supplemented by overall statistics.

When high-risk alarms or controls are involved, the algorithm output is used for review or linkage judgment; safety functions, regulatory responsibilities, and automatic disposal require separate design and acceptance.

Frequently Asked Questions for Enterprise Customers

Can I purchase directly based on one of the scenes?

Can be evaluated first as a separate work package. The formal scope should describe the device, data, target objects, environment, interfaces, delivery form, and acceptance thresholds.

Can it be started when there are no abnormal samples?

The data interface, normal baseline, acquisition plan and simulation/controlled test design can be completed first; the abnormal detection rate and fault classification effect can be evaluated after obtaining sufficient abnormal true values.

Can the algorithm directly trigger alarms or equipment actions?

Duration, deduplication, quality gating, manual review, communication failure and safety interlocking need to be designed based on business risks. High-risk actions should be activated after completion of independent safety mechanisms and on-site acceptance.

Project consultation

Define the Development Scope with Samples and Device Requirements

Infrared vision development services for oil and gas upstream, well sites and long-distance pipelines

Please describe the task object, original picture or video, target indicators, device platform, interface and sample situation.

Phone: 13910119357
xuzhiyang0928@gmail.com

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