Enterprise application field D03

Infrared vision development services for power plants, steam systems and thermal equipment

For "power plants, steam systems and thermal equipment" 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 numberD03
Demand scenario8 items
main inputLWIR L2/L3;LWIR L2/L4;LWIR L2
Typical routeT03、T05、T04、T15、T02、T08

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

IR017

Turbine casing and shaft seal temperature field monitoring

Minimum input and technical route
LWIR L2/L3;T03+T05
target output
Temperature fields, axial gradients and trends
Implementation
Partially reusable
critical acceptance
Comparison with temperature measurement points, load stratification, trend advance amount
IR018

Abnormalities in generator stator housing and cooling path

Minimum input and technical route
LWIR L2/L3;T04+T05
target output
Uneven cooling, local temperature rise and trends
Implementation
Partially reusable
critical acceptance
Contrast with current/cooling status, area Recall
IR019

Steam pipe insulation damage and heat loss candidates

Minimum input and technical route
LWIR L2/L4;T03+T15
target output
Abnormal surface, area and heat loss estimation
Implementation
Thermal model required
critical acceptance
Environmental/wind speed records, area errors; heat loss must be compared with thermal calculations
IR020

Thermal pattern recognition of steam trap working status

Minimum input and technical route
LWIR L2/L3;T04+T05
target output
Patency, blockage, leak candidates and cycles
Implementation
Need product true value
critical acceptance
Compare with ultrasonic/process records, status F1
IR021

Candidates for valve internal leakage and bypass thermal anomalies

Minimum input and technical route
LWIR L2/L3;T02+T05
target output
Temperature distribution before and after the valve and leakage candidates
Implementation
Demand condition model
critical acceptance
Pressure difference/medium/insulation layering, false alarm rate
IR022

Uneven heat transfer on condenser and heat exchanger surfaces

Minimum input and technical route
LWIR L2;T03+T04
target output
Tube bundle/plate temperature difference and clogging candidates
Implementation
Required object model
critical acceptance
Comparison with flow/cleaning before and after, area IoU
IR023

Self-heating monitoring for coal and biomass stockpiles

Minimum input and technical route
LWIR L2/L3;T03+T05+T08
target output
Hot zones, warming rates and risk stratification
Implementation
Partially reusable
critical acceptance
Deep temperature cannot be directly replaced by the surface; verify the discovery advance amount
IR024

Thermal mode of clogging of slag discharge, ash hopper and ash conveying system

Minimum input and technical route
LWIR L2/L3;T04+T05
target output
Flow/blockage status, location and events
Implementation
Process data required
critical acceptance
Compare with material level/maintenance record, status F1, delay

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 power plants, steam systems and thermal equipment

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.