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← Industrial computing and control

TASK · FULL COSTS · COOLING

Industrial computing and control: heat and cooling.

DEFINED TASK / COMPLETE MODEL

D015 · BLDC commutation controller

Both designs return the same required output fields, encoded response bytes and final state within this defined model. Each job contains 4 useful frames and repeats every 0.25 ms.

Input energy per job6,701.969371 → 6,701.731863 µJ
Total modeled energy saving0.003544%
Heat saving at the modeled job rate0.950028 mW

Input power: 26.807877482 → 26.806927454 W at 4,000 jobs/s. ΔQ̇ = (Eordinary − Eselected) / job period, for equal energy leaving in forms other than heat and equal stored-energy change. The input-power model includes the unchanged reference load and shared costs.

Ordinary → selected completion: 86.28 → 118.52 µs; required deadline 200 µs.

The changes included in this design.

The model compares the selected design with the best eligible conventional design in the study. Both include compatible improvements. The energy calculation counts logic, memory, clocks, connections, setup, idle time, resets and recovery once.

Compared designs and full energy breakdown

Selected: G7_LUT_SERIAL::W_SCHEMA_DMA_8B_CG::BODY_POLICY

Strongest ordinary: O_BALANCED::W_SCHEMA_DMA_8B_CG::BODY_POLICY

Prior R6 selected policy: G7_LUT_SERIAL::W_SCHEMA_DMA_8B_CG::BODY_POLICY. Extra saving against that policy: 0 µJ/job.

Input-referred termStrong ordinary (µJ)Selected (µJ)
common common host control W5.5555565.555556
common common memory W1.3888891.388889
common common clock sensor W2.7777782.777778
common plant or external load W6,666.6666676,666.666667
installed FPGA shell22.22222222.222222
generic accelerator clock distribution2.2222222.222222
arithmetic resource leak0.2867860.026877
cache leak00
allocated program data memory leak0.0058710.005871
additional array port capacity tariff0.0058710
occupied CPU units00
DSP products0.0007110
adder bits0.0001940.00033
nonadder LUT bits0.000030.000219
divider sequence00
register accesses0.0021310.002131
accelerator control0.0001770.000177
internal data instruction cache traffic0.0740620.074062
cache valid initialization00
conditional original B core dynamic00
conditional original B clock standby00
external canonical wrapper CPU0.0106670.010667
external request commit readback0.4646670.464667
cold host preparation00
cold logic program cache preparation00
R6 wrapper logic0.1359820.135982
R6 wrapper internal fixed transfers0.0228890.022889
R6 wrapper resource leak0.0445160.044516
R6 wrapper memory leak0.0031790.003179
R6 wrapper extra port leak00
R6 wrapper clock0.0783040.106962
Total6,701.9693716,701.731863

Exact totals: 603177243347/90000000000000 J versus 201051955903/30000000000000 J. Source models use declared physical coefficients.

Operating conditions, uncertainty and fitting the design into a product

One reference controller/processor, shared memory, sensor/clock rails and the stated unchanged external load; compute-specific increments and added resources are priced by the R5 common cost-law artifact.

Supply efficiency in the model: 90%. Shared loads and loads that stay unchanged: common host control W 0.02 W; common memory W 0.005 W; common clock sensor W 0.01 W; plant or external load W 24 W.

  • Application-specific force/flow/torque/trajectory plant and accepted settling/stability constraints
  • R(T), inductance/coenergy or relevant pump/motor/piezo constitutive maps
  • Driver switching, mechanical work and all retained loss maps at equal service
  • Controller state/history, safe fault behavior and recovery sequence

The portfolio has 13 savings at the main modeled point, 100 ties using the conventional fallback, and 7 unmatched comparisons across 120 references. Positive advantages passing both the strict and combined tighter uncertainty tests: 0.

APPLICATION COVERAGE

The comparison tasks.

Comparison jobInput energy saved per jobJob rateHeat reduction under the stated conditionsOutcome at the main modeled point
D015 · BLDC commutation controller0.237507 µJ4,000/s0.950028 mWSelected changes costed together
D019 · Magnetic-bearing controller model0.232354 µJ4,000/s0.929414 mWSelected changes costed together
D061 · Centrifugal-pump efficiency controller0 µJ100/s0 mWConventional fallback: same energy
D062 · Industrial blower control0 µJ100/s0 mWConventional fallback: same energy
D063 · Process-chiller supervisory scheduling0 µJ10/s0 mWConventional fallback: same energy
D064 · Industrial robot joint electronics0 µJ1,000/s0 mWConventional fallback: same energy
D065 · Machine-vision inspection pipeline0 µJ100/s0 mWConventional fallback: same energy

These are computational models of defined tasks relevant to this application. Each selected design includes the compatible changes listed in its comparison.

YOUR PRODUCT’S THERMAL INPUTS

Calculate the cooling mass.

Use the heat carried by this cooling path and the weight of its installed parts, including added hardware. The comparison task’s average power change contributes to that total device calculation.

Chosen model: effective area follows Q = hAΔT; the fixed mass stays, the area-scaled mass changes, and added parts are charged.

Enter the product’s heat-path and part-weight values to calculate the cooling change.

Explore the calculation.

Heat energy = input energy − energy leaving in forms other than heat − change in stored energy.

All 120 reference rows, exact values, complete ledgers and source pins →All product thermal budgets and FI tools →