Enterprise Application Area D11

Metallurgy, Casting, Forging and Rolling Infrared Vision Development Services

For "metallurgy, casting, forging and rolling" 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 numberD11
Demand scenario8 items
main inputMWIR/SWIR L2/L3;MWIR L2/L3;LWIR/MWIR L2/L3;MWIR/LWIR L2/L3
Typical routeT17、T05、T03、T19、T02

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

IR081

Surface temperature uniformity of billets, ingots and slabs

Minimum input and technical route
MWIR/SWIR L2/L3;T17
target output
Surface temperature, longitudinal and transverse uniformity and cold spots
Implementation
High temperature calibration required
critical acceptance
Compared with the standard temperature measurement/process point, the temperature is P95
IR082

Uneven heating mode of continuous casting billet solidification and secondary cooling

Minimum input and technical route
MWIR L2/L3;T05+T17
target output
Temperature field, secondary cooling anomalies and trends
Implementation
Need process model
critical acceptance
Compare with water volume/pulling speed/defect records
IR083

Refractory lining hot spots for ladles, ladles and tundishes

Minimum input and technical route
LWIR/MWIR L2/L3;T03+T17
target output
Exterior hotspots, growth rates and risk zones
Implementation
True value of life required
critical acceptance
Comparing with the shutdown internal inspection/lining thickness, it is found that the advance amount
IR084

Lateral temperature distribution of rolls, strips and plates

Minimum input and technical route
MWIR/SWIR L2/L3;T17
target output
Temperature contours, edge differences and process states
Implementation
Requires high-speed synchronization
critical acceptance
Line speed/emissivity stratification, contour error
IR085

Temperature window for forgings coming out of furnace, transfer and final forging

Minimum input and technical route
MWIR L2/L3;T03+T19
target output
Workpiece temperature, window status and timeout events
Implementation
Requires object tracking
critical acceptance
Compared with contact/optical temperature measurement, event accuracy rate
IR086

Observation of casting mold filling and solidification thermal processes

Minimum input and technical route
MWIR/LWIR L2/L3;T05+T17
target output
Thermal fronts, cooling curves and uneven areas
Implementation
Need to test tooling
critical acceptance
Time synchronization, curve repeatability, defect correlation
IR087

Thermal mode of interface between aluminum liquid, copper liquid and slag layer

Minimum input and technical route
MWIR/SWIR L2/L3;T17
target output
Liquid level, slag zone and temperature agents
Implementation
Spectral band/emissivity verification required
critical acceptance
Compare to sampling/operational records; reflections and smoke stratification
IR088

Metallurgical equipment water cooling leaks and abnormal cold spots

Minimum input and technical route
LWIR/MWIR L2/L3;T02+T19
target output
Cold Spots, Diffusion Zones and Events
Implementation
Partially reusable
critical acceptance
Compare with flow/maintenance records, false alarm/shift

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

Metallurgy, Casting, Forging and Rolling 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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