Enterprise Application Area D24

Building Envelope, Roofing and Energy Efficiency Diagnostic Infrared Vision Development Services

For "building envelope, roofing and energy-saving diagnosis" 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 numberD24
Demand scenario8 items
main inputLWIR L2/L4;LWIR L2/L3;LWIR L2;L3/L5
Typical routeT02、T06、T05、T04、T10、T15、T03、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

IR185

Missing exterior wall insulation and thermal bridge detection

Minimum input and technical route
LWIR L2/L4;T02+T06
target output
Thermal bridge/insulation abnormal area and facade location
Implementation
Partially reusable
critical acceptance
Indoor and outdoor temperature difference/wind/sunlight records, area IoU
IR186

Candidates for door and window airtightness and frame heat leakage

Minimum input and technical route
LWIR L2/L3;T02
target output
Border thermal anomalies and review points
Implementation
Partially reusable
critical acceptance
Blower door/smoke comparison; thermal imaging cannot alone provide air leakage volume
IR187

Candidates for roof insulation due to moisture and water accumulation

Minimum input and technical route
LWIR L2/L3;T02+T05
target output
Thermal inertia abnormal area and maintenance diagram
Implementation
Requires day/night/environment model
critical acceptance
Versus water/excavation true value, POD
IR188

Candidate paths for building water leakage and dampness

Minimum input and technical route
LWIR L2/L3;T02
target output
Cold/hot anomalies and diffusion zones
Implementation
Requires multi-phase verification
critical acceptance
Compare with the results of moisture meter/wall opening; do not write the temperature difference directly as water
IR189

Assisted locating of floor heating pipes, blockages and leaks

Minimum input and technical route
LWIR L2;T02+T04
target output
Pipeline heat traces, abnormal sections and coordinates
Implementation
Partially reusable
critical acceptance
Compare with piping diagram/pressure test, positioning error
IR190

Curtain wall hollowing and debonding active/passive thermal detection

Minimum input and technical route
L3/L5;T10
target output
Abnormal area, area and depth candidates
Implementation
Required test block/environment design
critical acceptance
Contrast with knocking/pulling/opening, POD
IR191

Drone thermal inspection and three-dimensional mapping of building facades

Minimum input and technical route
RGB-LWIR L4;T06+T15
target output
Facade thermal texture, defect location and area
Implementation
Need system integration
critical acceptance
Registration error, coverage, area error
IR192

Joint verification of building thermal imaging and energy consumption model

Minimum input and technical route
L4+building parameters;T03+T20
target output
Abnormal components and simulated calibration data
Implementation
Requires building thermal model
critical acceptance
Compare with measured energy consumption/heat transfer test; do not calculate R value from thermal image alone

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

Building Envelope, Roofing and Energy Efficiency Diagnostic Infrared Vision Development Services

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.