室内环境监测系统外文文献.doc

(完整word)室内环境监测系统外文文献Design and implementation of indoor environment fire alarm system based on Wireless Sensor NetworkAuthor: Xiu Wen Fu, Wenfeng Li, Lin Yang As a new network technology， wireless sensor networks (WSN） are widely used in various emergency events because of their strong local cooperative sensing and the ability to interpret data from the environment. In this paper, we propose a fire alarm system called firealarming system indoor environment （fasie), which innovatively integrates wireless fire alarm network with hand fire extinguishing rescue support system。 Unlike traditional wireless sensor networks that implement fire networks, the fasie is able to fire into fire, including fire alarms， providing full range of services, firerescuing and Firefighter positioning。 In order to explain Fahey better， we first give a general description of fasie and introduce the architecture of the system。 Then, the hardware and system performance are introduced. Key words： Wireless Sensor Networks （WSN)， indoor environment, fire alarm system, handheld fire rescue support system 1 Introduction With the new manufacturing and integration technology, reduce the cost, the size of the wireless sensor, we have witnessed another revolution, is conducive to the control and observation of our life and the physical world， as the network technology to do， micro sensors connected to each individual and organization deeply embedded into the physical environment of information exchange network we can observe with the environment and in a loyal， previously not real-time human-computer interaction. As one of the most influential aspects of fire protection applications, public safety activities have also achieved significant benefits in the emergence of wireless sensor networks and their further development in 2. In this paper， we propose a wireless fire alarm system fire alarm system for indoor environment (fasie） the main contribution is the introduction of the wireless network and handheld fire alarm fire rescue fire alarm and rescue support system to provide comprehensive technical support. The rest of this article is organized as follows. Section 51。2 describes the state-oftheart of existing fire alarm systems。 In the 51。3 section， fasie is introduced from the point of view of system composition and function。 The 51。4 section describes the fasie layered architecture. The 51.5 section introduces the key hardware of fasie. The 51.6 part analyzes the performance of fasie。 Finally， conclusions and future work are presented in sect。 51。7. 2 related work Because wireless sensor networks have great potential in the field of fire protection, many fire protection systems have been developed based on WSN。 But in most cases， the only purpose of the network is to obtain environmental data， which are collected and displayed in a base station, stored in a database, or sent to a remote location 3，4。 Here， several representative proposals differ from the traditional paradigm as follows: (1) CFFDRS 5 is a forest fire that has been extensively implemented in the United States and new zealand. The main component of the system is the fire weather index (FWD)， and this index is the key meteorological element through the fire， such as temperature， evaluation of relative humidity, wind speed and precipitation. The acquisition of CFFDRS information relies on wireless sensor nodes deployed in thousands of forested areas。 The CFFDRS monitoring network collects various information (e.g.， temperature， wind speed, and humidity). The base station of the monitoring network provides environmental information directly to the remote server.（2） scier 6 is a comprehensive system for the detection， monitoring and prediction of natural disasters. Sciers target applications are urban and rural areas. The unique component in scier is the local alarm control unit， used to control the wireless sensor network (WSN) and is responsible for the early detection, location and subsequent fire alarm function of the fire. Scier develops wireless sensor nodes in two different urban and rural areas: citizens, masters, public sensors， sensors。 The citizens of the owners， sensors, and sensors of public ownership， sensors, and installations are different, depending on their application scenarios. （3） Eidos 7 is a comprehensive system including alarm， fire alarm and rescue。 The main component of the system is a network composed of thousands of sensor nodes, deployed in the field of unmanned aerial vehicles (UAV）. Another key element of the system is the handheld device that firefighters carry。 The network is responsible for monitoring the monitoring area and sending environmental information to remote servers。 Handheld devices are integrated with lightweight browsers that have access to remote databases or data centers. In summary， although the system has experienced significant improvement compared with the traditional cases, most of them only focus on the realization of single professional fire alarm network or fire rescue support network, resulting in inability to undertake more complex tasks。 To a certain extent, they do waste a lot of resources. Therefore, the fasie aims to provide more comprehensive services for fire protection activities, including fire monitoring, fire fighting， rescue and fire personnel positioning. 3 system introduction The fasie system consists of two component application architectures: a wireless fire alarm network and a handheld fire rescue support system. Wireless fire alarm networks are deployed by hundreds of wireless sensor nodes in buildings and other application scenarios. Since wireless sensor nodes have specialized applications in fire scenarios， each node is encapsulated in fire protection package。 With WSN forest monitoring， the main applications of fasie are mainly focused on indoor environmental monitoring. Therefore, the node is equipped with two power modules （battery module and fixed power module)。 When the fire happens， the wireless fire alarm network can detect the fire at once and send out alarm information to the base station. In fasie， the base station is a small high-performance embedded system with two communication interfaces （such as WiFi and 3G), which can be deployed easily。 When the base station receives the alarm information， the alarm information is forwarded to the monitoring platform through the WiFi, and corresponding evacuation and call service decisions are made according to the received information。 A key element of the handheld fire rescue support system in FASIE is unique features that can distinguish this system from other existing support systems for fire protection. A handheld fire rescue system consists of two devices: a fire PDA and a wireless sensor node with a Bluetooth interface. Portable wireless sensor nodes can share information with PDA via Bluetooth interface. Information （such as RSSI and LQI） is dynamically self organized. Through the indoor environment location algorithm, PDA can access the accurate location of fire fighters and notify the supervision platform through the 3G network。 In addition to indoor location services， the handheld fire rescue system also includes outdoor location services and health status monitoring. With the support of the GPS chip within the PDA, the PDA is able to access the exact location and can provide great help to fire equipment and crew scheduling。 Because of the integration of multiple sensors for portable wireless sensor nodes, wireless sensor nodes are able to sense the ambient environment and monitor the physical parameters of the firefighters。 Through the 3G network, the monitoring center can monitor the firefighters health and surrounding conditions. When the fire fighters are in danger， supervise the platform and organize rescue immediately。 In addition， since the handheld firealarming system is a lightweight browser integration, firefighters can access remote databases through Web services.4 Tier Architecture In order to improve the versatility, flexibility and scalability of the system， the fasie design adopts a hierarchical architecture, followed by the open system interconnection reference model (OSI), and the 8 is divided into six layers. From top to bottom, they are application layer, forwarding layer， assembly layer， link management layer， equipment layer and sensing layer. 1。as the lowest level of the system， the perception layer is responsible for the environment awareness and information collection。 In general， the sensing layer collects environmental information and information passed to the device layer via data interfaces (such as SPI and PC)。 Depending on the device, the data relayed from the sensor layer is also different. For wireless sensor nodes, sensing layer mainly fuses smoke and temperature information。 For handheld devices, the sensor layer also includes physical parameters such as ECG and blood pressure, in addition to the environmental parameters mentioned above。 The selection of sensor and data interface and the configuration of sampling rate are the key technologies of sensor layer. 2。 the device layer is the basis of the system, and all client oriented functions must be implemented through this layer. The responsibility for the device layer is to provide hardware support for wireless communications between devices (such as Wi-Fi， ZigBee， and Bluetooth）。 In general， the device layer mainly includes gateway devices， and its core technology is to realize the sharing of information。 There are many kinds of devices between different types and different data interfaces. 3. link management layer plays an important role in network self organization, and is considered as the main technical bottleneck that hinders the progress of WSN research。 The responsibilities of managing link layer include neighbor discovery， authentication and link estimation and self-organization。 In fasie， when a new device， such as a wireless fire alarm node， is added to the network, the link management detects the device and submits the relevant information to the forwarding layer。 It is worth noting that when handheld fire fighters enter the detection area, link management should also be able to capture the trajectory of fire fighters。 4。the forwarding layer is responsible for data transmission and dependence layer. More specifically， if the link management layer is used to build the channel, the forwarding layer is designed to solve such problems as selecting which channel and which path the data should follow。 As for fasie, the role of the broadcast layer in the forwarding system is to determine that the lower hoop should establish a message queue to the target node to achieve effective cache management. 5、 the assembly layer can be considered as a link between highlevel applications that connect network applications， and its functions usually include encryption， protocol conversion， and name service。 Due to the high sensitivity of WSN energy consumption, the data provided from one device to another need to be re coded to shorten the length of messages， thus ensuring the safety and energy saving of information. When the encoded message arrives at the device， the assembly layer also requires decoding the information to ensure the integrity of the information. Fasie involves several network media. Different network media require different network protocols. Therefore， the assembly layer requires protocol transformations to maintain the information flow across different types of networks。 6. Application layer as the highest level of the system, responsible for providing services to customers。 Application layer performance pays close attention to the user experience, thus affecting the future application market。 Extensible and flexible API is an important part of the application layer， which can help customers to diversify their functions according to their own requirements. One 5 device design 5.1 wireless sensor nodes Wireless sensor node fasie, we chose the ATMEL microcontroller ATmega128 8 bit processor as a controller, Chipcon as the RF chip CC2530. To ensure the accuracy of the test results, two types of sensors (such as smoke sensors and thermometers) are used to detect fire. We choose MQ2 resistance sensor， smoke sensor， select temperature acquisition, DS18B20 digital temperature sensor CC2530 is a real system on chip （SOC） IEEE 802.15。4 ZigBee RF4CE application solution。 It enables powerful network nodes with very low total material cost bills. CC2530 combines the leading RF transceiver with the industry standard for its excellent performance of the enhanced 8051 microcontroller, the system programmable flash memory, the 8KB RAM， and many other powerful features。 CC2530 has different operating modes, making it ideal for systems requiring ultralow power consumption。 The short transition time between the operating modes ensures further low energy consumption by 91。 MQ2 smoke sensors, resistive sensors are used to measure flammable gases in the air. The voltage required for normal operation is 5 V and the supply voltage is MQ-2. The sensing node is supplied by the ATmega128 microcontroller board 6 V。 DS18B20：DS18B20 is a high precision thermometer in air sensing temperature。 Its operating temperature range is between 55 and 125 OC and the exact range of + 0.5 oc 10 OC to 85 oc. Power supply range 3。05.5 v。 wireless sensor node for fasie, power supply depends on the ATmega128 microcontroller board and the power supply voltage is 5 V。5.2 embedded gateway Embedded gateway is based on the x20ii board as the core controller of S5PV210 samsung. The embedded gateway is equipped with a wireless ieee801。ll B / g interface and a fast Ethernet interface that enables customers to select different network interfaces relative to the actual network environment. In addition， the embedded gateway also provides 2 RS232 serial ports and 4 USB ports (Figure 51.4)。 5.3 hand fire fighting rescue support system As shown in Figure 51.5, hand held fire extinguishing systems consist of two parts: high performance PDA and portable fire sensor nodes。 The function of PDA is to receive， display and relay data from the portable fire sensor node， and the main function of the portable sensor node centralized network receiving position data in the collection of environmental information from the scene of the fire and the deployment of wireless fire alarm。 Here, we chose the fasie U880 ZTE PDA hardware platform。 Since U880 is a powerful mobile communication device that supports Bluetooth and GPS positioning, it is fully qualified in the FASIE