Enterprise Application Area D04

Photovoltaic modules and photovoltaic power station infrared vision development services

For "photovoltaic modules and photovoltaic power plants" 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 numberD04
Demand scenario8 items
main inputLWIR L2/L4;RGB-LWIR L4;LWIR L2;NIR/SWIR L1/L5
Typical routeT03、T04、T05、T06、T14、T02、T18、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

IR025

Photovoltaic module hot spot and hot spot detection

Minimum input and technical route
LWIR L2/L4;T03+T04
target output
Module/cell hot spots, ΔT and coordinates
Implementation
Partially reusable
critical acceptance
Record irradiance, wind and viewing angle as per IEC TS 62446-3 conditions; hot spots Recall
IR026

Bypass diode, sub-string and string anomaly classification

Minimum input and technical route
LWIR L2/L4;T04+T05
target output
Component mode, substring/string fault candidates
Implementation
Need product true value
critical acceptance
Comparison with IV Curve/Electrical Test, Classification Macro-F1
IR027

Automatic splicing and component positioning of drone photovoltaic arrays

Minimum input and technical route
RGB-LWIR L4;T06+T14
target output
Array ortho, component ID, and thermal anomaly layers
Implementation
Need system integration
critical acceptance
Registration P95, component positioning rate, duplicate/missing components
IR028

Inspection of inverters, combiner boxes and joint hot spots

Minimum input and technical route
LWIR L2/L4;T03+T04
target output
Device temperature, component hotspots and alarms
Implementation
Partially reusable
critical acceptance
Versus load/contact temperature, component level Recall
IR029

Component occlusion, pollution and hotspot correlation analysis

Minimum input and technical route
RGB-LWIR L4;T06+T04
target output
Contaminated/occluded areas, thermal response and correlation
Implementation
Dual optical data required
critical acceptance
Area IoU, correlation accuracy, different irradiation stratification
IR030

Component thermal gradient and package anomaly screening

Minimum input and technical route
LWIR L2;T03+T02
target output
Edge/local temperature differences and abnormal patterns
Implementation
Required reference components
critical acceptance
Versus EL/Lab Inspection, Defect Recall
IR031

Photovoltaic cell EL crack and failure area identification

Minimum input and technical route
NIR/SWIR L1/L5;T18
target output
Dark areas, cracks, breaks and areas
Implementation
Need special implementation
critical acceptance
Reference standard sample, smallest crack, pixel level IoU
IR032

Joint diagnosis of IR, EL, IV and O&M records

Minimum input and technical route
Multi-source L4/L5;T18+T20
target output
Fault candidates, evidence chain and repair sequencing
Implementation
Multimodal model required
critical acceptance
Independent electrical truth value, calibration confidence, repair hit rate

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

Photovoltaic modules and photovoltaic power station 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

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