CN105654766A - Underground parking car finding system based on ZigBee fingerprint positioning technology and control method thereof - Google Patents
Underground parking car finding system based on ZigBee fingerprint positioning technology and control method thereof Download PDFInfo
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Abstract
一种基于ZigBee指纹定位技术的大型地下停车场寻车系统,帮助车主泊车离开,长时间返回停车场后,能够快速找到自己的停车位,提升停车场的使用效率,节省车主的时间与精力;?本发明能尽快帮助车主找到自己的停车位,节省了车主的时间和精力,也提高了提车场的使用效率;提高了寻车的自动化程度,自动实现在位登记(绑定)、定位和离开注销(去绑定)过程。最大程度地减少了车主寻车过程的手动操作过程;考虑了多人同时泊车和多人同时寻车时的情况,超声波测距传感器准确检测出停车位的同时,ZigBee无线网络节点定位手持停车卡,并将两者绑定,避免多人同时停车时,车位与停车卡绑定混乱。
A large-scale underground parking lot car-finding system based on ZigBee fingerprint positioning technology, which helps car owners park and leave. After returning to the parking lot for a long time, they can quickly find their own parking spaces, improve the efficiency of the parking lot, and save time and energy for car owners. ;? The present invention can help car owners find their own parking spaces as soon as possible, saves the time and energy of car owners, and improves the efficiency of the parking lot; improves the automation of car search, and automatically realizes on-site registration (binding), positioning and parking. Leave the logout (unbind) process. Minimize the manual operation process of the car owner in the process of finding the car; considering the situation of multiple people parking at the same time and multiple people looking for the car at the same time, while the ultrasonic ranging sensor accurately detects the parking space, the ZigBee wireless network node locates the handheld parking lot card, and bind the two to avoid confusion in the binding of parking spaces and parking cards when multiple people park at the same time.
Description
技术领域technical field
本发明涉及一种利用ZigBee无线传感器网络及其指纹定位系统,帮助用户在地下大型停车场泊车后,返回时准确寻车的引导系统及控制方法。The invention relates to a guidance system and a control method for using a ZigBee wireless sensor network and a fingerprint positioning system to help users accurately find a car after parking in an underground large parking lot when returning.
背景技术Background technique
近年,随着社会经济的快速发展,汽车拥有量倍增,人们在用车的过程中,不仅有行车、停车的不便,也存在寻车的困难,即在车主泊车,走出停车场,经过相当长时间后,记不清自己的车到底停在什么地方,要费时、费力地在停车场内寻找自己的车位。In recent years, with the rapid development of social economy, the number of cars has doubled. In the process of using cars, people not only have the inconvenience of driving and parking, but also have difficulties in finding cars. After a long time, I can't remember exactly where my car is parked, and it takes time and effort to find my parking space in the parking lot.
在大型地下停车场内,寻车困难尤为明显,现有的大型地下停车场面积越来越大,又由于停车场在地下,建筑结构比较相似,记忆车位的可用参考点不多,车主泊车后,到地上的商场或办公地点逗留很长时间后,根据已经忘记了自己原来的停车位在哪里。In the large underground parking lot, the difficulty of finding a car is particularly obvious. The area of the existing large underground parking lot is getting larger and larger, and because the parking lot is underground, the building structure is relatively similar, and there are not many available reference points for memory parking spaces. Finally, after staying in the shopping mall or office on the ground for a long time, you may forget where your original parking space is.
发明内容Contents of the invention
本发明所要解决的技术问题是:设计开发一种基于ZigBee指纹定位技术的大型地下停车场寻车系统,帮助车主泊车离开,长时间返回停车场后,能够快速找到自己的停车位,提升停车场的使用效率,节省车主的时间与精力。The technical problem to be solved by the present invention is to design and develop a large-scale underground parking lot car-finding system based on ZigBee fingerprint positioning technology to help car owners park and leave. After returning to the parking lot for a long time, they can quickly find their own parking spaces and improve the parking space It improves the efficiency of the field and saves the time and energy of the car owner.
为了解决上述技术问题,本发明采用以下方案:In order to solve the problems of the technologies described above, the present invention adopts the following solutions:
一种基于ZigBee指纹定位技术的大型地下停车场寻车系统,其特征在于它包括一个无线传感器网络平台、手持停车卡、液晶显示屏、后台服务中心;A large-scale underground parking lot car-finding system based on ZigBee fingerprint positioning technology, characterized in that it includes a wireless sensor network platform, a hand-held parking card, a liquid crystal display, and a background service center;
1)无线传感器网络平台由布置在停车场顶上或层间的ZigBee传感器节点和安装在每个车位上的超声波测距节点组成,节点之间通过网络协议和通信协议构建无线传感网络平台,无线传感网络将手持停车卡上的无线信号强度指示信号RSSI传回后台服务中心,由后台服务中心计算车主及手持停车卡的实际位置;1) The wireless sensor network platform is composed of ZigBee sensor nodes arranged on the top of the parking lot or between floors and ultrasonic ranging nodes installed on each parking space. The wireless sensor network platform is constructed between the nodes through network protocols and communication protocols. The wireless sensor network transmits the wireless signal strength indication signal RSSI on the hand-held parking card to the background service center, and the background service center calculates the actual position of the owner and the hand-held parking card;
2)手持停车卡:手持停车卡实际上也是个ZigBee传感器节点,当用户在某一位置时,停车卡测量停车场上方布置的ZigBee传感器节点的无线信号强度RSSI值,并且将这些RSSI值经过停车场上方的ZigBee传感器节点传回后台服务中心,再由后台服务中心按照指纹定位算法得到停车卡和车主自身所在的位置;2) Hand-held parking card: The hand-held parking card is actually a ZigBee sensor node. When the user is at a certain location, the parking card measures the wireless signal strength RSSI value of the ZigBee sensor node arranged above the parking lot, and passes these RSSI values through the parking lot. The ZigBee sensor node above the field sends back to the background service center, and then the background service center obtains the location of the parking card and the owner itself according to the fingerprint positioning algorithm;
3)后台服务中心由计算机、编程板与ZigBee传感器网络根节点集成,通过CTP协议接收其他节点检测的车位信息,再通过串口发送给计算机,形成停车场的整体车位信息图,ZigBee传感器网络根节点通过编程板与计算机相连,后台服务中心负责实时收集停车场的车位情况,并且显示在液晶显示屏幕上,后台服务中心还根据车主当前的位置,选择路径引导车主到自己车位。3) The background service center is integrated with the computer, programming board and the root node of the ZigBee sensor network, and receives the parking space information detected by other nodes through the CTP protocol, and then sends it to the computer through the serial port to form the overall parking space information map of the parking lot. The root node of the ZigBee sensor network Connected to the computer through the programming board, the backstage service center is responsible for collecting the parking lot situation in real time and displaying it on the LCD screen. The backstage service center also chooses a path to guide the car owner to his own parking space according to the current location of the car owner.
4)液晶显示屏:安装在停车场的关键交叉口处,通过有线方式与后台服务器进行数据交互,接收后台服务中心的方向引导数据,指示车主到停车位。4) Liquid crystal display screen: installed at the key intersection of the parking lot, it communicates data with the background server through a wired method, receives the direction guidance data from the background service center, and instructs the car owner to the parking space.
进一步地,每个车位上方布置一个ZigBee传感器节点和超声波测距传感器,并且将ZigBee传感器节点通过接口与超声波测距传感器进行集成,超声波传感器信号通过ZigBee无线网络传回到后台服务中心。Further, a ZigBee sensor node and an ultrasonic ranging sensor are arranged above each parking space, and the ZigBee sensor node is integrated with the ultrasonic ranging sensor through an interface, and the ultrasonic sensor signal is transmitted back to the background service center through the ZigBee wireless network.
一种基于ZigBee指纹定位技术的大型地下停车场寻车系统控制方法,其特征在于利用ZigBee指纹算法进行定位,停车场上方的大量的ZigBee传感器节点构成锚节点,车主手中的停车卡是待定位节点,根据指纹定位算法得到停车卡及车主所在的位置。A control method for a car-finding system in a large underground parking lot based on ZigBee fingerprint positioning technology, which is characterized in that the ZigBee fingerprint algorithm is used for positioning, a large number of ZigBee sensor nodes above the parking lot form anchor nodes, and the parking card in the owner's hand is a node to be positioned According to the fingerprint positioning algorithm, the location of the parking card and the owner is obtained.
进一步地,车主在泊车时,自动登记车位,手持停车卡与车位绑定,车主离开车位时,系统自动注销用户,手持停车卡与车位的解除绑定。Furthermore, when the car owner is parking, the parking space is automatically registered, and the hand-held parking card is bound to the parking space. When the car owner leaves the parking space, the system automatically cancels the user, and the hand-held parking card is unbound from the parking space.
进一步地,车主泊车时,超声波测距传感器检测到车位停车信号,通过无线传感网络传回后台,得到车位号;并且ZigBee节点利用指纹定位法在后台计算手持卡位置;在后台将车位号与手持停车卡编号绑定。Further, when the car owner parks, the ultrasonic ranging sensor detects the parking signal of the parking space, and sends it back to the background through the wireless sensor network to obtain the parking space number; and the ZigBee node uses the fingerprint positioning method to calculate the position of the hand-held card in the background; Bind with the hand-held parking card number.
进一步地,车主寻车时,无线网络检测到有新的停车卡出现在停车场入口,开始定位该停车卡,并且在后台,根据停车卡现在位置、停车位,计算引导路径,显示在停车场关键路口的显示屏上。Furthermore, when the car owner is looking for a car, the wireless network detects that a new parking card appears at the entrance of the parking lot, and starts to locate the parking card, and in the background, according to the current location of the parking card and the parking space, calculate the guiding path and display it in the parking lot on the display screen at key junctions.
本发明具有的优点和效果在于:1)本发明能尽快帮助车主找到自己的停车位,节省了车主的时间和精力,也提高了提车场的使用效率;2)本发明提高了寻车的自动化程度,自动实现在位登记(绑定)、定位和离开注销(去绑定)过程。最大程度地减少了车主寻车过程的手动操作过程;3)本发明考虑了多人同时泊车和多人同时寻车时的情况,超声波测距传感器准确检测出停车位的同时,ZigBee无线网络节点定位手持停车卡,并将两者绑定,避免多人同时停车时,车位与停车卡绑定混乱。The advantages and effects of the present invention are: 1) the present invention can help car owners find their own parking spaces as soon as possible, save the time and energy of car owners, and also improve the use efficiency of the parking lot; 2) the present invention improves the efficiency of finding cars The degree of automation, automatically realize the process of registration (binding), positioning and leaving logout (unbinding). The manual operation process of the car owner's car search process is reduced to the greatest extent; 3) The present invention considers the situation when many people park at the same time and many people search for cars at the same time. While the ultrasonic ranging sensor accurately detects the parking space, the ZigBee wireless network The node locates the hand-held parking card and binds the two to avoid the confusion of the binding between the parking space and the parking card when multiple people park at the same time.
附图说明Description of drawings
图1是本发明寻车系统总体结构;Fig. 1 is the overall structure of the car-finding system of the present invention;
图2是停车场寻车系统网络结构;Fig. 2 is the network structure of the car-finding system in the parking lot;
图3是指纹定位的两个阶段示意图;Fig. 3 is a schematic diagram of two stages of fingerprint positioning;
图4是手持停车卡与车位的绑定过程;Fig. 4 is the binding process of the hand-held parking card and the parking space;
图5是手持停车卡于车位的解除绑定过程。Figure 5 is the unbinding process of holding the parking card in the parking space.
具体实施方式detailed description
图1是停车场寻车系统总体结构图。主要包括无线传感器网络平台、手持停车卡、液晶显示屏、后台服务中心四个部分。Figure 1 is the overall structure diagram of the car-finding system in the parking lot. It mainly includes four parts: wireless sensor network platform, hand-held parking card, LCD display, and background service center.
无线传感器网络平台由布置在停车场顶上或层间的ZigBee传感器节点和安装在每个车位上的超声波测距节点组成,ZigBee传感器节点内部运行TinyOS操作系统,节点之间通过网络协议和通信协议构建无线传感网络平台,无线传感网络将手持停车卡上的无线信号强度指示信号RSSI传回后台服务中心,由后台服务中心计算车主及手持停车卡的实际位置。The wireless sensor network platform is composed of ZigBee sensor nodes arranged on the top of the parking lot or between floors and ultrasonic ranging nodes installed on each parking space. The ZigBee sensor nodes run the TinyOS operating system inside, and the nodes communicate with each other through network protocols and communication protocols. Build a wireless sensor network platform. The wireless sensor network will transmit the wireless signal strength indicator signal RSSI on the hand-held parking card to the background service center, and the background service center will calculate the actual location of the owner and the hand-held parking card.
每个车位上方布置一个ZigBee传感器节点和超声波测距传感器,并且将ZigBee传感器节点通过51针接口与超声波测距模块进行集成,超声波传感器信号通过ZigBee无线网络传回到后台服务中心。A ZigBee sensor node and an ultrasonic ranging sensor are arranged above each parking space, and the ZigBee sensor node is integrated with the ultrasonic ranging module through a 51-pin interface, and the ultrasonic sensor signal is transmitted back to the background service center through the ZigBee wireless network.
车主泊车时,超声波传感器检测到车位停车信号,通过无线传感网络传回后台,得到车位号;并且ZigBee传感器节点利用指纹定位法在后台计算手持卡位置;在后台将车位号与手持停车卡编号绑定。When the owner parks, the ultrasonic sensor detects the parking signal of the parking space, and sends it back to the background through the wireless sensor network to obtain the parking space number; and the ZigBee sensor node uses the fingerprint positioning method to calculate the position of the hand-held card in the background; ID binding.
车主寻车时,无线网络检测到有新的停车卡出现在停车场入口,开始定位该停车卡,并且在后台,根据停车卡现在位置、停车位,计算引导路径,显示在停车场关键路口的显示屏上。When the car owner is looking for a car, the wireless network detects that a new parking card appears at the entrance of the parking lot, and starts to locate the parking card, and in the background, according to the current location of the parking card and the parking space, calculate the guiding path and display it at the key intersection of the parking lot on the display.
停车场服务系统在用户取车时为用户提供导航服务,导航服务主要由停车场内的重要交叉口处的电子显示屏组成。The parking lot service system provides users with navigation services when they pick up their cars. The navigation services are mainly composed of electronic display screens at important intersections in the parking lot.
无线传感器网络平台利用传感器(这里采用超声波测距传感器)感受车位是否已被占用还是空置,集成超声波测距模块与无线传感器节点,部署在车位顶端,通过测距判断车位的空置状态。并利用无线传感器网络平台将位置占用情况送到后台服务器中的车位分布系统。无线传感器网络平台还与手持停车卡相互作用,利用RSSI指纹定位技术确定用户在停车场的位置,并引导用户正确地走到自己的车位。The wireless sensor network platform uses sensors (ultrasonic ranging sensors are used here) to sense whether the parking space is occupied or vacant, integrates ultrasonic ranging modules and wireless sensor nodes, and deploys them at the top of the parking space to judge the vacancy status of the parking space through distance measurement. And use the wireless sensor network platform to send the location occupancy situation to the parking space distribution system in the background server. The wireless sensor network platform also interacts with the hand-held parking card, uses RSSI fingerprint positioning technology to determine the user's location in the parking lot, and guides the user to walk to their parking space correctly.
手持停车卡:手持停车卡实际上也是个ZigBee网络节点,当用户在某一位置时,手持停车卡测量停车场上方布置的ZigBee传感器节点的无线信号强度RSSI值,并且将这些RSSI值经过停车场上方的ZigBee传感器节点传回后台服务中心,再由后台服务中心按照指纹定位算法得到停车卡和车主自身所在的位置。Hand-held parking card: The hand-held parking card is actually a ZigBee network node. When the user is at a certain location, the hand-held parking card measures the wireless signal strength RSSI value of the ZigBee sensor node arranged above the parking lot, and passes these RSSI values through the parking lot. The ZigBee sensor node above sends back to the background service center, and then the background service center obtains the location of the parking card and the owner itself according to the fingerprint positioning algorithm.
手持停车卡在汽车进入停车场时,用户在入口处领取随身携带,用户返回取车时,与周围的无线传感器节点进行信息交互,利用指纹定位算法对手持停车卡进行定位。When the hand-held parking card enters the parking lot, the user takes it at the entrance and carries it with him. When the user returns to pick up the car, he interacts with the surrounding wireless sensor nodes and uses the fingerprint positioning algorithm to locate the hand-held parking card.
后台服务中心,实时接收传感器节点发送的车位占用信息,对数据解析之后,存储在数据库中并实时更新;后台服务中心还在智能导引阶段,计算用户到自己的轿车的最佳路径,并引导用户找到自己的车位。后台服务中心由计算机、编程板与ZigBee传感器节点集成,ZigBee传感器节点作为无线传感器网络根节点,通过CTP协议接收其他节点检测的车位信息,再通过串口发送给计算机,形成停车场的整体车位信息图。ZigBee传感器节点通过编程板与计算机相连。后台服务中心负责实时收集停车场的车位情况,并且显示在液晶显示屏幕上,后台服务中心还根据车主当前的位置,选择路径引导车主到自己车位。The background service center receives the parking space occupancy information sent by the sensor nodes in real time, stores the data in the database and updates it in real time after analyzing the data; The user finds his own parking space. The background service center is integrated with the computer, programming board and ZigBee sensor node. As the root node of the wireless sensor network, the ZigBee sensor node receives the parking space information detected by other nodes through the CTP protocol, and then sends it to the computer through the serial port to form the overall parking space information map of the parking lot. . The ZigBee sensor node is connected with the computer through the programming board. The background service center is responsible for collecting the parking spaces in the parking lot in real time and displaying them on the LCD screen. The background service center also selects a path to guide the car owner to his own parking space according to the current location of the car owner.
液晶显示屏:安装在停车场的关键交叉口处,通过有线方式与后台服务中心进行数据交互,接收后台服务中心的方向引导数据,指示车主到停车位。LCD screen: Installed at the key intersection of the parking lot, it communicates data with the background service center through wired methods, receives the direction guidance data from the background service center, and instructs the car owner to the parking space.
图2为本发明中寻车系统采用的网络结构,主要分为三个部分:无线传感器网络平台采用开源的TinyOS操作系统,在无线传感节点间采用数据汇聚协议CTP(CollectionTreeProtocol)进行路由转发;CTP协议是一种基于TinyOS的应用于无线传感器网络的数据汇聚协议。寻车系统与手持停车卡进行点对点通信;停车场服务系统电子显示屏与后台之间采用有线连接。Fig. 2 is the network structure adopted by the car-finding system in the present invention, which is mainly divided into three parts: the wireless sensor network platform adopts an open-source TinyOS operating system, and adopts a data aggregation protocol CTP (CollectionTreeProtocol) between wireless sensor nodes to carry out routing and forwarding; The CTP protocol is a TinyOS-based data aggregation protocol applied to wireless sensor networks. The car-finding system communicates point-to-point with the hand-held parking card; the electronic display screen of the parking service system and the background are connected by wires.
图3为本发明中的ZigBee指纹定位技术的流程图,一般可以分为两个阶段:第一阶段为离线训练阶段。首先,需要在目标定位区域均匀选取参考点,并采集参考点位置的来自各个接入点的无线信号强度RSSI样本向量。每个参考点的位置坐标与对应的无线信号强度RSSI样本向量集合构成一个位置指纹。然后,将所有指纹信息存储在数据库中,即构成RadioMap。第二阶段为在线定位阶段。首先,通过用户终端实时测量无线信号强度RSSI向量样本。然后,将实时RSSI向量样本与RadioMap中的位置指纹进行匹配,或者直接输入已构建好的定位函数,得出定位结果。利用ZigBee指纹算法进行定位,停车场上方的大量的ZigBee传感器节点构成锚节点,车主手中的停车卡是待定位节点,根据指纹定位算法得到停车卡及车主所在的位置。Fig. 3 is a flow chart of the ZigBee fingerprint positioning technology in the present invention, which can generally be divided into two stages: the first stage is the off-line training stage. First, it is necessary to uniformly select a reference point in the target positioning area, and collect the wireless signal strength RSSI sample vectors from each access point at the reference point position. The location coordinates of each reference point and the corresponding set of wireless signal strength RSSI sample vectors constitute a location fingerprint. Then, store all the fingerprint information in the database, which constitutes RadioMap. The second stage is the online positioning stage. First, measure the wireless signal strength RSSI vector samples in real time through the user terminal. Then, match the real-time RSSI vector sample with the location fingerprint in RadioMap, or directly input the constructed positioning function to obtain the positioning result. ZigBee fingerprint algorithm is used for positioning. A large number of ZigBee sensor nodes above the parking lot constitute the anchor node. The parking card in the owner's hand is the node to be located. According to the fingerprint positioning algorithm, the location of the parking card and the owner is obtained.
图4为车主在泊车时手持停车卡与车位的绑定过程(自动登记车位),具体的匹配绑定步骤如下:Figure 4 shows the binding process between the parking card and the parking space held by the owner when parking (automatically registering the parking space). The specific matching and binding steps are as follows:
a)当车主在泊车时,位于停车位上方的超声波测距传感器节点探测发现有车辆停入,向周围的手持停车卡(在停车场同时停车的车辆)发送定位请求消息;同时,停车位上方超声波测距传感器节点向后台服务中心发送停车位状态变更信息。a) When the car owner is parking, the ultrasonic ranging sensor node located above the parking space detects that there is a vehicle parked, and sends a positioning request message to the surrounding handheld parking cards (vehicles parked at the same time in the parking lot); at the same time, the parking space The upper ultrasonic ranging sensor node sends the status change information of the parking space to the background service center.
b)手持停车卡接收到定位请求消息后,记录被触发的锚节点ID。并向周围的锚节点发送定位请求消息。b) After the handheld parking card receives the positioning request message, record the triggered anchor node ID. And send a positioning request message to the surrounding anchor nodes.
c)周围锚节点接收到停车卡的定位请求消息后,计算停车卡的信号接收强度RSSI,然后将<锚节点ID,RSSI>发送给该停车卡。c) After receiving the positioning request message of the parking card, the surrounding anchor nodes calculate the signal reception strength RSSI of the parking card, and then send <anchor node ID, RSSI> to the parking card.
d)手持停车卡接收锚节点发回的RSSI信息后,利用接收到的组值信息形成指纹信息,并按照降序排列,设置阀值d或者时间超过t,将大于d的RSSI保留作为指纹,停车卡将各锚点的指纹信息依次发给相应的锚节点。d) After receiving the RSSI information sent back by the anchor node with the hand-held parking card, use the received group value information to form fingerprint information, and arrange it in descending order, set the threshold d or the time exceeds t, and keep the RSSI greater than d as fingerprints, park The card sends the fingerprint information of each anchor point to the corresponding anchor node in turn.
e)锚节点接收到手持停车卡的指纹信息,发回后台,在后台进行模型匹配,计算得到与编码号为ID锚节点的距离r,即<锚节点ID,r>。根据得到的<锚节点ID,r>,通过质心法或者k-近邻法等方法进行停车卡定位计算。e) The anchor node receives the fingerprint information of the hand-held parking card, sends it back to the background, performs model matching in the background, and calculates the distance r from the anchor node whose code number is ID, that is, <anchor node ID, r>. According to the obtained <anchor node ID, r>, the parking card location calculation is performed by the centroid method or the k-nearest neighbor method.
f)找到离定位结果最近的车位,该车位是触发上述绑定流程若干车位中的一个,将该车位号与停车卡编号进行绑定。f) Find the parking space closest to the positioning result, which is one of the parking spaces that trigger the above binding process, and bind the parking space number with the parking card number.
g)后台发送绑定消息给距离最近的停车卡,最后停车卡记录绑定车位的ID,并置绑定标志位为1。g) The background sends a binding message to the nearest parking card, and finally the parking card records the ID of the bound parking space, and sets the binding flag to 1.
图5为车主在取车后驶离车位时手持停车卡与车位的解除绑定过程(自动注销用户),具体的匹配绑定步骤如下:Figure 5 shows the process of unbinding the parking card with the parking space (automatically canceling the user) when the owner leaves the parking space after picking up the car. The specific matching and binding steps are as follows:
a)车辆离开停车位后,触发位于停车位上方的超声波传感器节点状态,它向周围的手持停车卡发送解除绑定请求消息。同时,超声波传感器节点向后台服务中心发送停车位状态变更信息;删除后台服务中心中对应的导航信息。a) After the vehicle leaves the parking space, it triggers the state of the ultrasonic sensor node above the parking space, and it sends an unbinding request message to the surrounding hand-held parking cards. At the same time, the ultrasonic sensor node sends the status change information of the parking space to the background service center; deletes the corresponding navigation information in the background service center.
b)手持停车卡接收到消息后,绑定标志位为1的手持停车卡解析该消息类型,并判断消息中被触发的锚节点ID是否为绑定的车位ID,若是则置绑定标志位为0,发送绑定解除确定;如锚节点ID与车位ID不符合,丢弃收到的消息即可。如绑定标记位已经为0,也丢弃该消息。b) After the hand-held parking card receives the message, the hand-held parking card whose binding flag is 1 parses the message type, and judges whether the anchor node ID triggered in the message is the bound parking space ID, and if so, sets the binding flag If it is 0, the sending binding is unaffected; if the anchor node ID does not match the parking space ID, just discard the received message. If the binding flag bit is already 0, the message is also discarded.
c)超声波传感器节点收到确定信息,完成解除绑定过程。否则,超时重发。c) The ultrasonic sensor node receives the confirmation information and completes the unbinding process. Otherwise, timeout and resend.
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