Enterprise Application Area D10

Infrared vision development services for boilers, furnaces, heat exchangers and refractory layers

For "boilers, furnaces, heat exchangers and refractory layers" related equipment manufacturers, system integrators and enterprise R&D, 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 numberD10
Demand scenario8 items
main inputMWIR/LWIR L2/L3;LWIR/MWIR L2;LWIR L2/L3;MWIR L1/L3
Typical routeT17、T03、T05、T04、T08、T02、T15

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

IR073

Hot spots and coking candidates on the outer surface of boiler water wall

Minimum input and technical route
MWIR/LWIR L2/L3;T17
target output
Hot zones, temperature trends and locations
Implementation
High temperature radiation model required
critical acceptance
Compare with maintenance/process records, hot spot Recall
IR074

Furnace lining and refractory layer thinning and shedding thermal anomalies

Minimum input and technical route
LWIR/MWIR L2;T03+T17
target output
Exterior wall hot spots, areas and risk zones
Implementation
Structural thermal model required
critical acceptance
Compared with furnace shutdown internal inspection/thickness inspection, POD
IR075

Rotary kiln cylinder temperature scanning and brick lining anomalies

Minimum input and technical route
LWIR L2/L3;T03+T05
target output
Circumferential/axial temperature map, hot spot trajectory
Implementation
Requires rotation synchronization
critical acceptance
Angle positioning error, temperature error, missed detection
IR076

Heat exchanger tube bundle blockage and uneven heat transfer

Minimum input and technical route
LWIR L2/L3;T03+T04
target output
Pipe zone temperature differences, blockage candidates and trends
Implementation
Demand condition model
critical acceptance
Compare with flow/cleaning results, area Recall
IR077

Boiler combustion flame shape and deflection analysis

Minimum input and technical route
MWIR L1/L3;T08+T17
target output
Flame profile, center, swing and stability
Implementation
Requires dedicated filtering and dynamic range
critical acceptance
Contour repeatability compared to process parameters
IR078

Furnace doors, inspection holes and sealed heat leaks

Minimum input and technical route
LWIR L2;T02+T03
target output
Heat leakage area, area and temperature difference
Implementation
Partially reusable
critical acceptance
Environmental stability conditions, area IoU, repeatability
IR079

Heat treatment furnace charging uniformity and workpiece surface temperature

Minimum input and technical route
MWIR/LWIR L2/L3;T03+T17
target output
Workpiece temperature, uniformity and process curves
Implementation
Requires emissivity and occlusion models
critical acceptance
Comparison with thermocouple/furnace temperature uniformity test
IR080

Heat losses from flues, chimneys and waste heat recovery surfaces

Minimum input and technical route
LWIR L2/L4;T03+T15
target output
Heat loss candidate areas and repair sequencing
Implementation
Thermal model required
critical acceptance
Wind/environmental recording, area error; energy consumption must be calculated independently

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 boilers, furnaces, heat exchangers and refractory layers

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

Phone: 13910119357
xuzhiyang0928@gmail.com

The information filled in will only be used for evaluation and contact for this project. Please do not submit unauthorized personal information or sensitive data.