Service scope and implementation plan
direction numberD14
Demand scenario8 items
main inputMWIR high speed L2/L3;
Typical routeT17、T05、T04、T03、T19、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
IR105Tool-workpiece heat distribution in cutting zone
- Minimum input and technical route
- MWIR high speed L2/L3;T17
- target output
- Cutting zone temperature, peak value and trajectory
- Implementation
- Requires high-speed and high-temperature calibration
- critical acceptance
- Compared with embedded/dual-band temperature measurement, time error
IR106Tool Wear Thermal Characteristics and Life Trends
- Minimum input and technical route
- LWIR/MWIR L2/L3；T05
- target output
- Temperature rise characteristics, wear regression and tool replacement candidates
- Implementation
- Need tool true value
- critical acceptance
- Compared with the wear amount measurement, RMSE, advance amount
IR107Candidates for grinding burn and thermal damage to workpiece surfaces
- Minimum input and technical route
- MWIR L2/L3；T05+T17
- target output
- Heat peak, duration and burn risk
- Implementation
- Metallographic/surface truth required
- critical acceptance
- Defects Recall, False Positives, Velocity Stratification
IR108Stamping die friction and uneven lubrication
- Minimum input and technical route
- LWIR L2/L3；T04+T05
- target output
- Mold hot zones, cycle trends and lubrication anomalies
- Implementation
- Need process sample
- critical acceptance
- Compare with wear/lubrication records, area Recall
IR109Injection mold temperature uniformity and cooling circuit abnormalities
- Minimum input and technical route
- LWIR L2/L3；T03+T05
- target output
- Cavity surface temperature, cooling time and uneven area
- Implementation
- Requires simultaneous mold opening and collection
- critical acceptance
- Compared with mold temperature/finished product defects, curve error
IR110Thermoforming blank temperature and transfer time monitoring
- Minimum input and technical route
- MWIR L2/L3；T03+T19
- target output
- Stock temperature, area uniformity and timeout
- Implementation
- Partially reusable
- critical acceptance
- Compared with temperature measurement equipment, event accuracy rate
IR111Die Casting Mold Thermal Cycle and Hot Cracking Risk Characteristics
- Minimum input and technical route
- MWIR/LWIR L2/L3；T05
- target output
- Periodic temperature, gradient and accumulation characteristics
- Implementation
- Need life data
- critical acceptance
- Repeatability, crack/life correlation
IR112Modeling thermal drift of CNC spindles, lead screws and guides
- Minimum input and technical route
- LWIR L2/L3+displacement;T05+T20
- target output
- Thermal state, displacement compensation model and uncertainty
- Implementation
- Requires multi-sensor calibration
- critical acceptance
- Compare with laser interferometer/gage block to compensate for residual errors
Implementation and delivery methods
- Project input confirmationCheck camera, spectral band, bit depth, SDK, environmental conditions, sample and acceptance true value.
- Sample verificationVerify key processing links, applicable conditions and abnormal working conditions, and determine the development scope and acceptance methods.
- Algorithm development and integrationImplement data parsing, algorithms, quality gating, interfaces and target platform deployment.
- 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.