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機器人還是人工?

Security patrol

Security guard on patrol vs Autonomous patrol robot (MaaS)

Whirrwork 模型估算,並非事實。 方法說明 · 預測紀錄

人工 · 每年US$228,704Guard on site
機器人 · 每年US$151,754Patrol robot as a service
回收期0 個月
成本交叉年份已經Base-case year (earliest to latest across scenarios)

On these numbers the robot option is clearly cheaper.

美國 · USD · BLS OEWS May 2025 national medians by SOC occupation

用你自己的數字計算

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工作量
假設

Patrol hours needed per day (24 = round the clock).

假設

Operating hours per day.

假設

Days per month (every day).

假設

Active months per year.

人員

BLS OEWS May 2025 national median hourly wage, SOC 33-9032.

Wages and salaries were 70.0% of total employer compensation cost for private industry workers in June 2026 (ECEC), so total cost = wage / 0.70.

Nominal 4.4% a year, 2015-2025 (ILOSTAT hourly earnings).

假設

One guard-hour covers one patrol-hour.

機器人
假設

One robot-hour covers one patrol-hour of a defined route (outdoor lots, perimeters).

Midpoint of Knightscope's marketed $6-$12 per robot-hour on an annual 24/7 contract.

假設

Site survey, connectivity and alarm-centre integration.

假設

Contract length in years.

假設

Share of hours the robot patrols (charging is scheduled).

假設

Hours lost to faults, covered by a guard.

假設

Share of guard hours spent on things a patrol robot cannot do: responding, access control, talking to people. A person stays on call for these.

假設

Remote-monitoring minutes per robot-hour (watching alerts, often shared across sites).

假設

Included in the contract.

假設

Electricity price per kWh (USD). Check your bill; energy is rarely a big line.

資金
假設

Annual financing / discount rate. Nobody publishes yours; 8% is a round mid-2026 commercial borrowing guess.

假設

Years in the NPV comparison.

假設

Share of a human service price that is labour (rises with wages). Used to escalate and to adjust US service prices to other countries.

假設

Share of a robot service price that is labour (pilot, technician). The rest is equipment, which learning curves make cheaper.

假設

Share of a lease or RaaS fee that pays for hardware (learns down). The rest is service and support (moves with wages).

Download these results (CSV)

結果

方案每月每年Per unit (patrol hour)前期投入回收期Break-even utilisation5-year NPV vs baseline
人工 Guard on site 比較基準 US$19,059US$228,704US$26.12— — — —
機器人 Patrol robot as a service US$12,646US$151,754US$17.33US$3,000 0.5 個月 1%
Utilisation 72%
US$362,527

What moves the answer most

Each bar shows the 5-year NPV of the best robot option when one input moves to the low or high end of its range, with the rest held at your values.

5-year NPV vs baseline: Patrol robot as a service5-year NPV vs baseline: Patrol robot as a serviceWork that stays humanlow value: 0.15 → US$474,997high value: 0.6 → US$221,940Workloadlow value: 8 → US$118,842high value: 24 → US$362,527Hourly wagelow value: 14.624000000000002 → US$247,322high value: 21.936 → US$477,732Supervisionlow value: 2 → US$406,667high value: 20 → US$208,037Subscription per robot-hourlow value: 6 → US$432,694high value: 12 → US$292,361Employer on-cost multiplierlow value: 1.2790000000000001 → US$302,063high value: 1.579 → US$422,992Work lost to failureslow value: 0 → US$382,390high value: 0.1 → US$316,180Financing and discount ratelow value: 0.05 → US$391,318high value: 0.12 → US$328,427Wage growth per yearlow value: 0.0236 → US$341,663high value: 0.0636 → US$384,192US$362,527low valuehigh valueSource: Whirrwork Robot-or-Human model v1.0.0 (whirrwork.com/tools/robot-vs-human/security-patrol/). Modelled estimate, not a fact.

Cost per unit to 2035

Real terms (today's money). Robot hardware follows Wright's law; wages follow each country's history. Shaded band: robots-slow to robots-fast scenarios. Whirrwork 模型估算,並非事實。

Chart單位人工成本 (基準), 單位機器人成本 (基準), 單位機器人成本 (機器人進步快), 單位機器人成本 (機器人進步慢). Source: Whirrwork Robot-or-Human model v1.0.0 (whirrwork.com/tools/robot-vs-human/security-patrol/). Modelled estimate, not a fact.US$0.00US$10.00US$20.00US$30.002026202720282029203020312032203320342035USD / patrol hourscenario range單位人工成本 (基準)單位機器人成本 (基準)單位機器人成本 (機器人進步快)單位機器人成本 (機器人進步慢)Source: Whirrwork Robot-or-Human model v1.0.0 (whirrwork.com/tools/robot-vs-human/security-patrol/). Modelled estimate,…

成本交叉年份: 已經

What the spreadsheet misses

安全
A robot cannot intervene, give first aid or de-escalate. It detects and reports; someone still responds.
品質
Robots never skip a round and record everything; guards notice context.
彈性
Guards do access control, deliveries, lost children. Robots patrol.
Edge cases
Stairs, rain, crowds and vandalism are known problems. One famously drove into a fountain.
Customer experience
Visible deterrence cuts both ways: some visitors like it, some find it creepy.
Jobs and redeployment
In practice robots replace overnight rounds on big lots; people move to response and monitoring.
法規
Licensing applies to guards, not robots; recording and privacy law applies to robot cameras (GDPR in the EU/UK).

相關內容

本頁來源

說明和來源為英文;以英文版為準。

  1. Knightscope robots: effective $6-$12 per hour on an annual 24/7 Machine-as-a-Service contract Knightscope, 2026-10 · vendor
  2. Occupational Employment and Wage Statistics, May 2025 (median hourly wage by occupation) U.S. Bureau of Labor Statistics, 2025-05
  3. Employer Costs for Employee Compensation, June 2026: wages and salaries 70.0% of private-industry compensation (series CMU2020000000000P) U.S. Bureau of Labor Statistics, 2026-06
  4. Mean nominal hourly earnings of employees by sex and occupation (ISCO-08), DF_EAR_EHRA_SEX_OCU_CUR_NB ILOSTAT (International Labour Organization), from national labour force and earnings surveys, 2025
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  10. Euro foreign exchange reference rates (cross rates to USD), via Frankfurter European Central Bank, 2026-10-23
  11. Wright, T. P. (1936). Factors affecting the cost of airplanes. Journal of the Aeronautical Sciences, 3(4), 122-128 Journal of the Aeronautical Sciences, 1936
  12. Nagy, B., Farmer, J. D., Bui, Q. M., & Trancik, J. E. (2013). Statistical basis for predicting technological progress. PLoS ONE, 8(2), e52669 (62 technologies; Wright's law among the best hindcasters; errors grow with horizon) PLoS ONE, 2013