TWI832153B - Planning method of vehicle transportating for park lot and computing apparatus for parking planning - Google Patents
Planning method of vehicle transportating for park lot and computing apparatus for parking planning Download PDFInfo
- Publication number
- TWI832153B TWI832153B TW111104747A TW111104747A TWI832153B TW I832153 B TWI832153 B TW I832153B TW 111104747 A TW111104747 A TW 111104747A TW 111104747 A TW111104747 A TW 111104747A TW I832153 B TWI832153 B TW I832153B
- Authority
- TW
- Taiwan
- Prior art keywords
- parking
- vehicle
- parking space
- type
- space
- Prior art date
Links
- 238000000034 method Methods 0.000 title claims abstract description 24
- 238000007726 management method Methods 0.000 claims description 11
- 230000008859 change Effects 0.000 claims description 5
- 230000007774 longterm Effects 0.000 claims description 5
- 230000005856 abnormality Effects 0.000 claims 2
- 238000004891 communication Methods 0.000 description 17
- 230000002159 abnormal effect Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 230000007246 mechanism Effects 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 238000013528 artificial neural network Methods 0.000 description 2
- 238000003384 imaging method Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012546 transfer Methods 0.000 description 2
- 238000013527 convolutional neural network Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
Images
Landscapes
- Traffic Control Systems (AREA)
Abstract
Description
本發明是有關於一種自動化停車技術,且特別是有關於一種車輛停車搬運的規劃方法及用於停車規劃的運算裝置。 The present invention relates to an automated parking technology, and in particular, to a planning method for vehicle parking and transportation and a computing device for parking planning.
停車場的車位有限。一般停車場是以人工導引停車位置。然而,人力資源也有限,且人會有疏忽或失常情況,進而影響停車場的空間利用性及停車效率。 Parking spaces are limited. Generally, parking lots use manual guidance for parking locations. However, human resources are also limited, and people may be negligent or abnormal, which will affect the space utilization and parking efficiency of the parking lot.
有鑑於此,本發明實施例提供一種車輛停車搬運的規劃方法及用於停車規劃的運算裝置,可動態反映當前情境且自動搬運車輛至停車位。 In view of this, embodiments of the present invention provide a planning method for vehicle parking and transportation and a computing device for parking planning, which can dynamically reflect the current situation and automatically transport vehicles to parking spaces.
本發明實施例的車輛停車搬運的規劃方法適用於停車場。規劃方法包括(但不僅限於)下列步驟:辨識車輛的車輛規格。車輛 規格相關於車型或車款。判斷場域條件。場域條件包括停車場的空間。依據車輛規格及場域條件決定車輛在停車場的停車位置,並依據停車場的空間使用率決定停車位置。控制自走裝置搬運車輛至停車位置。 The planning method for vehicle parking and transportation according to the embodiment of the present invention is suitable for parking lots. Planning methods include (but are not limited to) the following steps: Identify the vehicle specifications of the vehicle. vehicle Specifications relate to the car model or model. Determine site conditions. Site conditions include space for parking. The parking location of the vehicle in the parking lot is determined based on the vehicle specifications and site conditions, and the parking location is determined based on the space usage rate of the parking lot. Control the self-propelled device to transport the vehicle to the parking position.
本發明實施例的用於停車規劃的運算裝置。運算裝置包括(但不僅限於)儲存器及處理器。儲存器用以儲存程式碼。處理器耦接儲存器。處理器經配置用以載入且執行程式碼以辨識車輛的車輛規格,判斷場域條件,依據車輛規格及場域條件決定車輛在停車場的停車位置,並控制自走裝置搬運車輛至停車位置。處理器更經配置用以依據停車場的空間利用率決定停車位置。車輛規格相關於車型或車款。場域條件包括停車場的空間。 A computing device for parking planning according to an embodiment of the present invention. Computing devices include, but are not limited to, storage and processors. Memory is used to store program code. The processor is coupled to the memory. The processor is configured to load and execute program code to identify vehicle specifications of the vehicle, determine site conditions, determine the parking position of the vehicle in the parking lot based on the vehicle specifications and site conditions, and control the self-propelled device to transport the vehicle to the parking location. The processor is further configured to determine the parking location based on space utilization in the parking lot. Vehicle specifications relate to the car model or model. Site conditions include space for parking.
基於上述,依據本發明實施例的車輛停車搬運的規劃方法及用於停車規劃的運算裝置,判斷車輛規格及場域條件(例如,停車場的空間使用率),並據以提供合適的停車位置。接著,透過自走裝置直接搬運車輛到這停車位置。藉此,可提升停車效率,並有效利用停車空間。 Based on the above, according to the vehicle parking and transportation planning method and the computing device for parking planning according to the embodiment of the present invention, the vehicle specifications and site conditions (for example, the space utilization rate of the parking lot) are determined, and a suitable parking location is provided accordingly. Then, the vehicle is directly transported to the parking position through the self-propelled device. This can improve parking efficiency and effectively utilize parking space.
為讓本發明的上述特徵和優點能更明顯易懂,下文特舉實施例,並配合所附圖式作詳細說明如下。 In order to make the above-mentioned features and advantages of the present invention more obvious and easy to understand, embodiments are given below and described in detail with reference to the accompanying drawings.
1:停車場系統 1: Parking lot system
50:影像擷取裝置 50:Image capture device
70:自走裝置 70:Self-propelled device
100:運算裝置 100:Computing device
110:通訊模組 110: Communication module
130:儲存器 130:Storage
150:處理器 150:processor
S210~S240:步驟 S210~S240: steps
A1:第一型停車位
A1:
A2:第二型停車位
A2:
A3:第三型停車位 A3: Type 3 parking space
A4:電動車位 A4: Electric parking space
A5:緩衝交換車位 A5: Buffer exchange parking space
E1、E2:出入口 E1, E2: entrance and exit
PW:運行車道 PW: running lane
RS1、RS2:迴旋空間 RS1, RS2: Wiggle room
AGV-1、AGV-2:自走裝置 AGV-1, AGV-2: self-propelled device
圖1是依據本發明一實施例的停車場系統的元件方塊圖。 FIG. 1 is a component block diagram of a parking lot system according to an embodiment of the present invention.
圖2是依據本發明一實施例的車輛停車搬運的規劃方法的流程圖。 Figure 2 is a flow chart of a planning method for vehicle parking and transportation according to an embodiment of the present invention.
圖3是依據本發明一實施例說明停車場空間的示意圖。 Figure 3 is a schematic diagram illustrating a parking space according to an embodiment of the present invention.
圖1是依據本發明一實施例的停車場系統1的元件方塊圖。請參照圖1,停車場系統1包括(但不僅限於)一台或更多台影像擷取裝置50、一台或更多台自走裝置70及運算裝置100。
FIG. 1 is a component block diagram of a
影像擷取裝置50可以是相機、攝影機、雷射掃描器或監視器,並用以指定區域拍攝,從而擷取影像。在一實施例中,影像擷取裝置50包括影像感測器、影像處理器及鏡頭,且其規格(例如,取像光圈、倍率、焦距、取像可視角度、影像感測器大小等)及組態可依據實際需求而自行變更。在一實施例中,影像擷取裝置50用以拍攝停車場中的特定空間(例如,出入口、運行車道或停車位)。
The
自走裝置70例如是自主移動機器人(Autonomous Mobile Robot,AMR)、自動導引車(Automated Guided Vehicle,AGV)、或其他程式化的移動機器人/車。例如,自主移動機器人是結合定位及自動導航的無軌道無人搬運車,並可使熄火的車輛具備自主移動能力。而自動導引車可藉由電線、磁條、色帶等軌道辨識路線。
The self-
在一實施例中,自走裝置70用以搬運車輛。自走裝置70可透過內部或外部機構連接車輛或將車輛置於其承載平台,使車
輛可隨自走裝置70移動。
In one embodiment, the self-propelled
運算裝置100耦接影像擷取裝置50。運算裝置100可以是桌上型電腦、筆記型電腦、AIO電腦、智慧型手機、平板電腦、或伺服器等裝置。運算裝置100可包括(但不僅限於)通訊模組110、儲存器130及處理器150。
The
通訊模組110可以是支援Wi-Fi、行動網路、藍芽、乙太網路、光纖網路或其他類型通訊協定的收發器。在一實施例中,通訊模組110用以將訊息傳送至外部裝置(例如,影像擷取裝置50、自走裝置70、電腦、伺服器、或手機)。在一些實施例中,訊息可以是簡訊、網路封包、通話或其他形式。在一實施例中,通訊模組110用以傳送指令給影像擷取裝置50或自走裝置70,並使影像擷取裝置50或自走裝置70可依據指令而執行對應功能。在另一實施例中,通訊模組110用以接收來自影像擷取裝置50及自走裝置70的回報訊息(例如,狀態、通知或警報)。
The
儲存器130可以是任何型態的固定或可移動隨機存取記憶體(Radom Access Memory,RAM)、唯讀記憶體(Read Only Memory,ROM)、快閃記憶體(flash memory)、傳統硬碟(Hard Disk Drive,HDD)、固態硬碟(Solid-State Drive,SSD)、非揮發性(nonvolatile)記憶體或類似元件。在一實施例中,儲存器130用以儲存程式碼、軟體模組、組態配置、資料(例如,影像、車輛規格、場域條件、導航路線等)或檔案。
The
處理器150耦接通訊模組110及儲存器130,處理器150
並可以是中央處理單元(Central Processing Unit,CPU)、圖形處理單元(Graphic Processing unit,GPU),或是其他可程式化之一般用途或特殊用途的微處理器(Microprocessor)、數位信號處理器(Digital Signal Processor,DSP)、可程式化控制器、現場可程式化邏輯閘陣列(Field Programmable Gate Array,FPGA)、特殊應用積體電路(Application-Specific Integrated Circuit,ASIC)、神經網路加速器或其他類似元件或上述元件的組合。在一實施例中,處理器150用以執行運算裝置100的所有或部份作業,且可載入並執行儲存器130所記錄的各程式碼、軟體模組、檔案及資料。
The
下文中,將搭配停車場系統1中的各項元件、模組及裝置說明本發明實施例所述之方法。本方法的各個流程可依照實施情形而隨之調整,且並不僅限於此。
In the following, the method described in the embodiment of the present invention will be described with reference to various components, modules and devices in the
圖2是依據本發明一實施例的車輛停車搬運的規劃方法的流程圖。請參照圖2,處理器150辨識車輛的車輛規格(步驟S210)。具體而言,車輛規格相關於車型或車款。例如,一般轎式車輛、豪華轎車、休旅車、或電動車。又例如,車輛重量、車輛寬度、高度、及底盤高度。
Figure 2 is a flow chart of a planning method for vehicle parking and transportation according to an embodiment of the present invention. Referring to FIG. 2 , the
在一實施例中,處理器150可取得影像擷取裝置50拍攝車輛所得的影像。處理器150可透過影像特徵比對(例如,方向梯度直方圖(Histogram of Oriented Gradient,HOG)、Harr、或加速穩健特徵(Speeded Up Robust Features,SURF)等的特徵比對)或基於神經網路演算法(例如,YOLO(You only look once)、基於區域的卷
積神經網路(Region Based Convolutional Neural Networks,R-CNN)、或快速R-CNN(Fast R-CNN)等)的分類器辨識車輛的車款或車型。在一些實施例中,儲存器130或外部資料庫記錄車款及/或車型資料,以供處理器150辨識車輛。
In one embodiment, the
須說明的是,本發明實施例不加以限制車輛辨識所用的演算法。在一實施例中,前述車輛辨識也可能是由外部裝置執行並提供辨識結果給運算裝置100。
It should be noted that the embodiment of the present invention does not limit the algorithm used for vehicle identification. In one embodiment, the aforementioned vehicle recognition may also be performed by an external device and the recognition result is provided to the
處理器150判斷場域條件(步驟S220)。在一實施例中,場域條件包括停車場的空間。空間例如是相關於全部或特定類型停車位的數量、停車位的可容納空間、運行車道的位置及路線、迴旋轉向位置、緩衝交換區域、及/或出入口位置。
The
例如,停車位的可容納空間限制車體寬度、車身長度及/或車身高度(還可能進一步限制承載重量)。若當前車輛的車型超過可容納空間限制,則處理器150可透過通訊模組110即時通知車主關於無法入場的訊息,以避免這車輛入場後讓場域設施或車輛受損。
For example, the accommodating space of the parking space limits the vehicle body width, vehicle length and/or vehicle height (which may further limit the load capacity). If the model of the current vehicle exceeds the space limit, the
在一實施例中,場域條件包括供自走裝置70行走的一條或更多條運行車道。例如,運行車道的長度、寬度、及/或彎道處。又例如,運行車道與停車位及/或出入口的位置關係。
In one embodiment, the field conditions include one or more operating lanes for the self-propelled
在一實施例中,場域條件包括停車場的設置性質。例如,停車場設於住宅區、辦公區、商業區或機場周邊。不同設置性質的停車場可能有不同需求的車主。例如,住宅區的停車場通常在上下 班時段有大量車流。又例如,機場周邊的車輛有長時間停車的需求。 In one embodiment, the site conditions include the nature of the parking lot setting. For example, parking lots are located in residential areas, office areas, commercial areas or around airports. Parking lots with different settings may have car owners with different needs. For example, parking lots in residential areas are usually located above and below There is a lot of traffic during shift hours. For another example, vehicles around the airport need to park for a long time.
在一實施例中,場域條件包括多個充電車位及一個或更多一般車位。充電車位是指這車位設有充電樁、充電設備或電源接頭。而一般車位是指這車位未設有充電樁、充電設備或電源接頭。 In one embodiment, the site conditions include multiple charging parking spaces and one or more general parking spaces. A charging parking space refers to a parking space equipped with charging piles, charging equipment or power connectors. A general parking space means that the parking space is not equipped with charging piles, charging equipment or power connectors.
在一實施例中,場域條件包括多個出入口。例如,出入口在停車場的位置、出入口與聯外道路的位置關係或出入口的數量。 In one embodiment, the field conditions include multiple entrances and exits. For example, the location of the entrance and exit in the parking lot, the relationship between the entrance and exit and the external road, or the number of entrances and exits.
舉例而言,圖3是依據本發明一實施例說明停車場空間的示意圖。請參照圖3,這停車場包括第一型停車位A1、第二型停車位A2及第三型停車位A3。第一型停車位A1所適用的車型不同於第二停車位A2。例如,第一型停車位A1適用於中小型轎車,而第二型停車位A2適用於休旅車或中大型轎車。而第三型停車位A3所適用於車型包括第一型停車位A1及第二型停車位A2所適用的車型。例如,第三型停車位A3的車位大致相同於第二型停車位A2的車位。
For example, FIG. 3 is a schematic diagram illustrating a parking space according to an embodiment of the present invention. Please refer to Figure 3. This parking lot includes
停車場包括電動車位A4,以供電動車停放。此外,停車場更包括緩衝交換車位A5,以供充電完成或其他電源狀態的電動車停放。 The parking lot includes electric parking spaces A4 for parking electric vehicles. In addition, the parking lot also includes a buffer exchange parking space A5 for parking electric vehicles that have been charged or in other power states.
停車場設有兩個出入口E1及E2、一條運行車道PW及兩個迴旋空間RS1及RS2。自走裝置AGV-1及AGV-2可在運行車道PW移動,並在迴旋空間RS1及RS2轉向。 The parking lot has two entrances and exits E1 and E2, a running lane PW and two swing spaces RS1 and RS2. The self-propelled devices AGV-1 and AGV-2 can move in the running lane PW and turn in the swing space RS1 and RS2.
請參照圖2,處理器150依據車輛規格及場域條件決定車
輛在停車場的停車位置(步驟S230)。在一實施例中,處理器150可依據停車場的空間使用率決定停車位置。例如,處理器150可依據面積最佳使用效率,規劃運行車道、迴旋轉向位置、緩衝交換區域、規劃適合於不同款式車輛數量置放區域、及長時間停放或短暫停放車輛流動效率。處理器150可基於有效空間最大化或是容納車款數量最佳化的需求決定空間使用率。例如,單位時間內最多占有空間、特定時段的特定車款數量、相鄰車位的占有機率、及/或車位的停放時間。
Referring to Figure 2, the
以圖3為例,處理器150可判斷第一型停車位A1及/或第二型停車位A2是否擁塞。例如,剩餘未占用車位的數量是否大於擁塞數量。又例如,是否尚有未占用車位。
Taking FIG. 3 as an example, the
若車輛適用於第一型停車位A1但第一型停車位A1擁塞,則處理器150將停車位置設於第三型停車位A3。或者,若車輛適用於第二型停車位A2但第二型停車位A2擁塞,則處理器150將停車位置設於第三型停車位A3。
If the vehicle is suitable for the first type of parking space A1 but the first type of parking space A1 is congested, the
另一方面,若車輛適用於第一型停車位A1且第一型停車位A1未擁塞,則處理器150將停車位置設於第一型停車位A1。或者,若車輛適用於第二型停車位A2且第二型停車位A2未擁塞,則處理器150將停車位置設於第二型停車位A2。
On the other hand, if the vehicle is suitable for the first type of parking space A1 and the first type of parking space A1 is not congested, the
也就是說,第三型停車位A3是混合交疊(Overlapping)區域,並可適用於多種車款。當第一型停車位A1或第二型停車位A2已經被占滿,處理器150開始安排混合交疊區域供後續入場的車
輛停放,直到混合交疊區域被占滿為止。藉此,當適用於特定車款的車位擁塞時,車輛停放規劃可更加彈性,進而增進空間使用效益。
In other words, the third type of parking space A3 is a mixed overlapping area and can be applied to a variety of car models. When the first type of parking space A1 or the second type of parking space A2 has been occupied, the
在一實施例中,處理器150可出入口E1及E2或是升降車梯設計數量,提供適當數量的緩衝交換車位A5,以作為車輛進出調整移位的交換空間。例如,當停放於較深處的車輛欲離開時,自走裝置70可將停放於較近處的車輛暫放於緩衝交換車位A5並待後續歸位或易位。
In one embodiment, the
在一實施例中,處理器150可依據車輛的車款、使用者進入停車出入口位置、停車位使用狀況及/或臨時或是長時間停車需求,決定設定停車位置,並安排自走裝置70的移動路徑。
In one embodiment, the
在一實施例中,處理器150可得在運行車道上移動至多個候選位置的多個路徑。這些候選位置是當前可供車輛停放的停車位置。處理器150可決定由出入口移動至這些候選位置的最短路徑、最快路徑、避開特定位置的路徑或符合其他需求的路徑,或綜合考量移載其他車輛的路徑。
In one embodiment, the
處理器150可依據車輛的停車需求自那些路徑中挑選其中一者。在一實施例中,處理器150可判斷停車時間或位置異動。例如,若有移出停放於內層車輛的需求,則外層車輛需先移載至交換緩衝車位。因此,處理器150可依據移載路徑與交換緩衝車位的需求預先規劃,並據以調整車輛停放位置對照表(記錄車輛與停車位置的對應關係)。又例如,處理器150可依據使用者預約取用
車輛時間及/或停車場設定性質的平均停車時間,事先編列或調整車輛的停車位置或移動路徑,以縮短車輛移載所需等候時間,進而提高停車場的運轉效率。值得注意的是,停車時間或位置異動將影響路徑的選擇,且所挑選的路徑相關於決定的停車位置。例如,先決定停車位置,再挑選最短移動路徑。又例如,先決定最快移動路徑,再確定停車位置。
The
在一實施例中,停車位置的決定相關於停車場的設置性質對應的管理規則。若停車場設於住宅區,則處理器150可設定管理規則為上班或下班時段為尖峰時間。若停車場設於辦公區,則處理器150可設定管理規則為上班或下班時段作為尖峰時間、以及高流動性訪客。若停車場設於商業區,則處理器150可設定管理規則為高流動性客戶。若停車場設於機場周邊,則處理器150可設定管理規則為分短時接送旅客車輛與長時間停車的旅客。
In one embodiment, the parking location is determined based on management rules corresponding to the setting properties of the parking lot. If the parking lot is located in a residential area, the
處理器150可依據管理規則決定停車位置。例如,短時間停車或高動性需求的車輛置於外層的停車位,且長時間停車需求的車輛置於內層的停車位。又例如,在尖峰時間到達前,先將位於內層的車輛移載至緩衝或混和車位,以利於車輛在尖峰時間到達時快速移出。
The
在一實施例中,針對車款為電動車的車輛,可依據額定容許可充電最大容量作為限制充電車輛數量的前提條件。例如,當最大容許電量達到一定百分比(例如,90、80或95%)或是可調度容量小於通用充電功率值(例如,7.5、7.2或8千瓦(KW)),運算裝
置100可透過通訊模組110通知管理員,並控制顯示螢幕顯示關於「充電車位已滿並需車主等候」的訊息給後續進場的電動車車主。
In one embodiment, for vehicles that are electric vehicles, the rated maximum charging capacity can be used as a prerequisite to limit the number of charging vehicles. For example, when the maximum allowable power reaches a certain percentage (for example, 90, 80 or 95%) or the dispatchable capacity is less than the universal charging power value (for example, 7.5, 7.2 or 8 kilowatts (KW)), the
而針對已充飽電池的車輛,處理器150可依據充電機制通訊協定或是充電機充電電流變化測知電量,依據車輛充電所使用之瓦時能量計算收費金額,並透過通訊模組110發出訊息,以通知車主關於電池已充飽、使用電力度數等資訊。此外,處理器150更可關閉這車位的電力開關,並將車輛脫離供電機構。
For a vehicle with a fully charged battery, the
若有電動車在等候排序充電,則處理器150可進行充電調度。在一實施例中,若有電動車移入充電車位,則處理器150可開啟這充電車位的供電設備的電力,以開始對電動車進行充電。在一實施例中,若充電車位擁塞,則處理器150可決定車輛規格為電動車的車輛的該停車位置位於一般車位(例如,圖3的緩衝交換車位A5或第一型停車位A1)。擁塞情況的決定可能是比較門檻值或剩餘車位。而若那些充電車位由擁塞轉變為未擁塞,則處理器150可決定一般車位至那些充電車位中的一者的移動路徑。即,處理器150判斷如何將等待充電的電動車移載至充電車位。此外,處理器150可透過通訊模組110通知車主關於開始充電的訊息。
If there are electric vehicles waiting to be charged in sequence, the
請參照圖2,處理器150控制自走裝置70搬運車輛至停車位置(步驟S240)。具體而言,處理器150可依據停車位置與出入口的位置關係、運行車道與停車位置的位置關係、軌道路線、迴旋空間的位置等場域空間關係決定自走裝置70的移動路線。處理
器150可透過通訊模組110發送關於移動路線的指令,使自走裝置70可依據移動路線搬運車輛至指定的停車位置。
Referring to FIG. 2 , the
在一實施例中,處理器150可透過通訊模組110接收多個出入口中的第一出入口的選擇。例如,應用程式接收使用者對於指定的出入口的選擇操作,並經由網路將選擇操作對應的通知訊息給運算裝置100。處理器150可控制自走裝置70搬運車輛至第一出入口,並透過通訊模組110通知第一出入口有這車輛。例如,自走裝置70將車輛移載至指定出入口之乘場處,且運算裝置100通知使用者取車時一併告知取車時間與乘車位置(即,第一出入口)。
In one embodiment, the
在一實施例中,自走裝置70使用電池供電。當電池的容量低於一定百分比(例如,15、20或30%)時,則自走裝置70可進入預設的充電位置進行充電,並在電力充飽後進入待命位置。
In one embodiment, the self-propelled
在一實施例中,處理器150可判斷判斷自走裝置70的運作時段。運作時段包括高頻率運作時段及低頻率運作時段。自走裝置70在高頻率運作時段的運作頻率高於在低頻率運作時段的運作頻率。運作頻率例如是單位時間內搬運車輛的次數或時間。若運作時段為該高頻率運作時段,則處理器150可偵測自走裝置70是否待命,並控制待命的自走裝置70充電。也就是說,只要偵測到自走裝置70處於待命狀態,運算裝置100即呼叫自走裝置70進入充電位置並進行充電,讓自走裝置70盡可能維持在高電量狀態,進而讓搬運作業順暢。
In one embodiment, the
在一實施例中,處理器150可依據運作時段決定自走裝
置70的充電模式。充電模式包括快速充電模式、平均充電模式及低速充電模式。快速充電模式例如是以3C/20分鐘快速充電,其中C為充放電率並用於表示電池充放電時電流大小的比率。快速充電模式可用於高頻率運作時段。平均充電模式用於維持電池電量在特定量。例如,以平均服務間隔時間足以補充一次運作的電能消耗的充電速度來進行充電。而低速充電模式可用於夜間供電。例如,以0.2C/5小時低速充電。
In one embodiment, the
例如,處理器150可依據場域運作高度情境(例如,對應於高頻率運作時段)或低度繁忙情境(例如,對應於低頻率運作時段),設定自走裝置70在待命狀態下使用充電模式平均充電模式,或是設定自走裝置70在低電量時進行快速充電模式,或於夜間或是低度繁忙時進行低速充電。藉此,可延長自走裝置70的電池服務時效與使用壽命。此外,運算裝置100可隨時監控自走裝置70的電池電量狀態,調整自走裝置70的充電模式,以確保場域服務的妥善性。
For example, the
在一實施例中,運算裝置100可偵測自走裝置70的異常情況。例如,運算裝置100基於自走裝置70回報的訊息或影像擷取裝置50所拍攝到包括自走裝置70的影像判斷異常情況。例如,特定警示訊息、或錯誤路線。處理器150可透過通訊模組110通知異常情況。藉此,可調度備用的自走裝置70或是進行場域內自走裝置70調度,以確保設施正常運作。此外,業者可盡早安排自走裝置70進行保養或維修。
In one embodiment, the
綜上所述,在本發明實施例的車輛停車搬運的規劃方法及用於停車規劃的運算裝置中,利用自走裝置(例如,引導式的AGV或非引導式AMR)進行車輛停車搬運程序,無須其他機械結構體。本發明實施例可依據場域條件及車輛規格決定停車位置,以有效利用停車場空間。此外,本發明實施例可彈性容納不同車款車輛,進而提高使用效益。 To sum up, in the vehicle parking and transportation planning method and the computing device for parking planning according to the embodiment of the present invention, a self-propelled device (such as a guided AGV or an unguided AMR) is used to perform the vehicle parking and transportation procedure. No other mechanical structure is required. Embodiments of the present invention can determine parking locations based on site conditions and vehicle specifications to effectively utilize parking space. In addition, the embodiment of the present invention can flexibly accommodate vehicles of different models, thereby improving usage efficiency.
雖然本發明已以實施例揭露如上,然其並非用以限定本發明,任何所屬技術領域中具有通常知識者,在不脫離本發明的精神和範圍內,當可作些許的更動與潤飾,故本發明的保護範圍當視後附的申請專利範圍所界定者為準。 Although the present invention has been disclosed above through embodiments, they are not intended to limit the present invention. Anyone with ordinary knowledge in the technical field may make some modifications and modifications without departing from the spirit and scope of the present invention. Therefore, The protection scope of the present invention shall be determined by the appended patent application scope.
S210~S240:步驟 S210~S240: steps
Claims (8)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
TW111104747A TWI832153B (en) | 2022-02-09 | 2022-02-09 | Planning method of vehicle transportating for park lot and computing apparatus for parking planning |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
TW111104747A TWI832153B (en) | 2022-02-09 | 2022-02-09 | Planning method of vehicle transportating for park lot and computing apparatus for parking planning |
Publications (2)
Publication Number | Publication Date |
---|---|
TW202333118A TW202333118A (en) | 2023-08-16 |
TWI832153B true TWI832153B (en) | 2024-02-11 |
Family
ID=88559123
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
TW111104747A TWI832153B (en) | 2022-02-09 | 2022-02-09 | Planning method of vehicle transportating for park lot and computing apparatus for parking planning |
Country Status (1)
Country | Link |
---|---|
TW (1) | TWI832153B (en) |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2012021758A1 (en) * | 2010-08-12 | 2012-02-16 | Benedict Charles E | Automated automotive vehicle parking/storage system |
US20150167339A1 (en) * | 2013-12-10 | 2015-06-18 | Park Plus, Inc. | Vehicle parking with automated guided vehicles and vehicle lifts |
CN110471418A (en) * | 2019-08-22 | 2019-11-19 | 北京交通大学 | AGV dispatching method in intelligent parking lot |
CN112681845A (en) * | 2020-11-30 | 2021-04-20 | 深圳怡丰自动化科技有限公司 | Three-dimensional parking garage and parking method |
CN113012462A (en) * | 2019-12-19 | 2021-06-22 | 杭州海康机器人技术有限公司 | Dynamic parking space planning and vehicle parking method and device and automatic parking system |
CN113706926A (en) * | 2021-09-07 | 2021-11-26 | 上海艾吉微电子科技有限公司 | Intelligent parking management implementation system and method |
-
2022
- 2022-02-09 TW TW111104747A patent/TWI832153B/en active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2012021758A1 (en) * | 2010-08-12 | 2012-02-16 | Benedict Charles E | Automated automotive vehicle parking/storage system |
US20150167339A1 (en) * | 2013-12-10 | 2015-06-18 | Park Plus, Inc. | Vehicle parking with automated guided vehicles and vehicle lifts |
CN110471418A (en) * | 2019-08-22 | 2019-11-19 | 北京交通大学 | AGV dispatching method in intelligent parking lot |
CN113012462A (en) * | 2019-12-19 | 2021-06-22 | 杭州海康机器人技术有限公司 | Dynamic parking space planning and vehicle parking method and device and automatic parking system |
CN112681845A (en) * | 2020-11-30 | 2021-04-20 | 深圳怡丰自动化科技有限公司 | Three-dimensional parking garage and parking method |
CN113706926A (en) * | 2021-09-07 | 2021-11-26 | 上海艾吉微电子科技有限公司 | Intelligent parking management implementation system and method |
Also Published As
Publication number | Publication date |
---|---|
TW202333118A (en) | 2023-08-16 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
JP7168041B2 (en) | Management device | |
JP6132069B2 (en) | Shared vehicle management device and program | |
US11001158B2 (en) | Automated vehicle parking and wireless power transfer (WPT) charging | |
WO2018168412A1 (en) | Vehicle operation management system and vehicle operation management method | |
FR3029153B1 (en) | DEVICE AND METHOD FOR MANAGING A PARKING PARK | |
JP7118493B2 (en) | Vehicle control method, device and storage medium | |
JP6656787B2 (en) | Managing interchangeable EV rechargeable parking spaces | |
CN103358924B (en) | For the method and apparatus managing electric vehicle charging station | |
US20200326701A1 (en) | Autonomous driving assistance system, vehicle connection server, control server, autonomous driving assistance method, and server control method | |
JP7087926B2 (en) | Parking support device | |
US20210370794A1 (en) | Enqueuing electric vehicles for improved fleet availability | |
US20190236519A1 (en) | Collection and delivery system and information processing apparatus | |
JP6348395B2 (en) | Parking lot management device, parking lot management system, parking lot management method, parking lot management program | |
CN110969892A (en) | Parking lot management method and system | |
CN110033647A (en) | A kind of intelligent three-dimensional garage parking lot and its access process suitable for pilotless automobile | |
CN102691433B (en) | Method and system for parking and picking up car in vertical circulating stereoscopic garage based on card scanning | |
CN110171317B (en) | Automatic charging method and automatic charging system for vehicle | |
US20170025004A1 (en) | Method and device for determining a pickup position from multiple pickup positions for a vehicle incorporated by a parking facility | |
JP2022122909A (en) | Management device | |
TWI832153B (en) | Planning method of vehicle transportating for park lot and computing apparatus for parking planning | |
CN107665604A (en) | Berth task auto-allocation method, system, computer installation and computer-readable recording medium | |
US20230406130A1 (en) | Automated charging process for a motor vehicle | |
CN114834277A (en) | Automatic charging system for vehicle, charging method, device and storage medium | |
WO2021117262A1 (en) | Security system and monitoring method | |
KR20230064028A (en) | Hybrid Electric Vehicle Sequential Charging Parking Tower Charging Method |