> For the complete documentation index, see [llms.txt](https://sharinghub.kittenbot.hk/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://sharinghub.kittenbot.hk/kits/future_inventor/instructions/parking.md).

# 智慧停車場

模擬智能停車場，自動打開閘門讓汽車駛進或駛出，自動檢測停車場的空位數量。

![](https://kittenbothk.readthedocs.io/en/latest/_images/parking1.jpg)

### 組裝說明書

[組裝說明書下載](https://github.com/kittenbothk/kittenbothk/raw/master/Kits/future_inventor/instructions/pdf/parking.pdf)

### 參考接線

![](https://kittenbothk.readthedocs.io/en/latest/_images/parking_wire1.png)

### 參考程式

#### KittenBlock參考程式

![](https://kittenbothk.readthedocs.io/en/latest/_images/parking_code.png)

[參考程式下載](https://github.com/kittenbothk/kittenbothk/raw/master/Kits/future_inventor/instructions/sb3/parking.sb3)

#### Python參考程式

```
#/bin/python

from time import sleep
from future import *
from machine import RTC
rtc = RTC()
from sugar import *
import ntptime
import robotbit

x = 0
last_state = 0
curr_state = 0
start_time = 0
end_time = 0
time = 0



wifi.connect(str(""), "")

ntptime.settime(int(8))

start_time = (rtc.datetime()[int(6)] + (rtc.datetime()[int(5)] * 60 + rtc.datetime()[int(4)] * 3600))

last_state = Tracker("P2").value() == 1

curr_state = Tracker("P2").value() == 1

start_time = 0

end_time = 0

robot = robotbit.RobotBit()

robot.geekServo2kg(1, 180)

screen.clear()

screen.text(str("Parking Available"),5,10,1,(0, 119, 255))

LED("P0").state('OFF')

LED("P1").state('ON')

while True:
  curr_state = Tracker("P2").value() == 1
  if not last_state == curr_state:
    if curr_state == 1 and last_state == 0:
      end_time = (rtc.datetime()[int(6)] + (rtc.datetime()[int(5)] * 60 + rtc.datetime()[int(4)] * 3600))
      robot.geekServo2kg(1, 90)
      buzzer.melody(NOTICE)
      screen.clear()
      time = (end_time - start_time)
      screen.text(str(str("Time: ")+str(time)),5,10,2,(0, 119, 255))
      screen.text(str(str("Fee: ")+str(time * 10)),5,30,2,(0, 119, 255))
      screen.text(str("Thank You"),5,50,2,(0, 119, 255))
      sleep(5)
      robot.geekServo2kg(1, 180)
    if curr_state == 0 and last_state == 1:
      start_time = (rtc.datetime()[int(6)] + (rtc.datetime()[int(5)] * 60 + rtc.datetime()[int(4)] * 3600))
      buzzer.melody(POWER_UP)
    last_state = curr_state
    if curr_state == 1:
      screen.clear()
      screen.text(str("Parking Available"),5,10,1,(0, 119, 255))
      LED("P0").state('OFF')
      LED("P1").state('ON')
    else:
      screen.clear()
      screen.text(str("Not Available"),5,10,1,(0, 119, 255))
      LED("P0").state('ON')
      LED("P1").state('OFF')
  else:
    if TOFDistance().value() < 50 and curr_state == 1:
      robot.geekServo2kg(1, 90)
      buzzer.melody(BA_DING)
      sleep(5)
      robot.geekServo2kg(1, 180)
```

[參考程式下載](https://github.com/kittenbothk/kittenbothk/raw/master/Kits/future_inventor/instructions/py/parking.py)

### 模型玩法

將小車放到閘門前，閘門就會打開。將小車泊到泊車位，門口的紅色LED會亮起。

當停車位已滿，閘門就不會打開讓其他車駛入。將車子駛離泊車位，閘門就會自動打開並且計算泊車費用。


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://sharinghub.kittenbot.hk/kits/future_inventor/instructions/parking.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
