Sensor nodes can continuously perform data acquisition, event detection, event identification, position monitoring and node control. These characteristics and wireless connection methods of sensor nodes make wireless sensor networks have broad application prospects and can be widely used in environmental monitoring and forecasting. Health care, smart home, building condition monitoring, complex mechanical monitoring, urban transportation, space exploration, large workshop and warehouse management, and security monitoring of airports and large industrial parks. With the deep research and wide application of wireless sensor networks, wireless sensor networks have gradually penetrated into various fields of human life and have received the attention of the industry. Application in ecological environment monitoring and forecasting In environmental monitoring and forecasting, wireless sensor networks can be used to monitor crop irrigation, soil air conditions, livestock and poultry environment and migration, wireless soil ecology, large-scale surface monitoring, etc., for planetary exploration, meteorology and geography. Research, flood monitoring, etc. Based on the wireless sensor network, rainfall, river water level and soil moisture can be monitored by several sensors, and the ecological diversity of the mountain floods is predicted to predict the ecological monitoring of animal habitats. It is also possible to conduct research on population complexity by tracking birds, small animals and insects. As people pay more and more attention to the environment, the scope of environmental science is becoming more and more extensive. Collecting raw data in the traditional way is a difficult task. Wireless sensor networks provide convenience for field randomized research data acquisition, especially in the following areas: spreading millions of sensors in forests, providing the fastest information for the determination of forest fire locations; sensor networks can provide suffering The location of chemical pollution and the determination of chemical pollution sources do not require artificial risk to enter the contaminated area; determine rainfall conditions, provide accurate information for flood control and drought resistance; monitor air pollution, water pollution and soil pollution in real time; monitor marine, atmospheric and soil components. Crossbow's MEP series is one of them. This is a small end-user network that is primarily used to detect environmental parameters. The system includes two MEP410 environmental sensor nodes and four MEP510 humidity/temperature sensors. The temperature and pressure sensor is composed of temperature sensitive components and detection lines. The temperature sensor can be roughly divided into two types: contact type and non-contact type. The former is to make the temperature sensor directly contact with the object to be measured to sensitively change the temperature of the measured object, and the latter is to make the temperature sensor and the test object to be tested. The object leaves a certain distance and detects the infrared rays emitted from the object to be tested, thereby achieving the purpose of temperature measurement. Conventional thermocouples, RTDs, thermistors, and semiconductor temperature sensors convert the temperature value through a certain interface circuit to output an analog voltage or current signal. These voltage or current signals can be used for measurement control. Integrating the analog temperature sensor with the digital conversion interface circuit becomes a digital temperature sensor with digital output capability. With the rapid development of semiconductor technology, semiconductor temperature sensors are gradually integrated with corresponding conversion circuits, interface circuits and various other functional circuits to form a powerful, accurate and inexpensive digital temperature sensor. Application in traffic management In the traffic management, the wireless sensor network system installed on both sides of the road can monitor the road surface condition, water accumulation status and road noise, dust, gas and other parameters in real time to achieve road protection, environmental protection and pedestrian health protection. In 1995, the US Department of Transportation proposed the “National Intelligent Transportation System Project Planningâ€, which is expected to be fully operational by 2025. This new system will effectively use the sensor network for traffic management, not only to drive the car at a certain speed, automatically maintain a certain distance between the front and rear distance, but also to provide the latest news about road congestion, recommend the best driving route And remind drivers to avoid traffic accidents. Since the system uses a large number of sensors to keep in touch with various vehicles, people can use a computer to monitor the health of each car, such as brake quality, engine speed, and so on. Depending on the situation, the computer can automatically adjust to keep the vehicle in optimal operation at high efficiency and low cost, issue warnings about potential failures, or contact the accident rescue center directly. Such a traffic information system has been built in Pittsburgh, Pa., in the United States, and has generated commercial value through media such as radio. Sensor nodes on both sides of the road can monitor road damage and road inequality in real time. In the rainstorm, the road area water condition can be monitored, and the data can be sent to relevant departments in real time through the wireless sensor network, so that relevant departments can conduct roads. Overhaul or issue road water warnings and troubleshooting. Sensor nodes on both sides of the road can also monitor the environmental conditions in the vicinity of the road, such as noise, dust and toxic gas concentration, and send the data in real time through the wireless sensor network system, so that the relevant departments can monitor the road conditions. . Senera's system can be used to monitor road environments such as bridges, viaducts, and highways. For many old bridges, the pier is washed by the water for a long time. The sensor can be placed at the bottom of the pier to sense the structure of the pier. It can also be placed on both sides or the bottom of the bridge to collect the temperature, humidity, vibration amplitude and erosion of the bridge. The degree, etc., can reduce the loss of life and property caused by broken bridges. In San Francisco, 200 networked dust particles have been deployed at the Golden Gate Bridge, which is used to determine the swing distance of the bridge from side to side - accurate to a few feet in strong winds. When the dust detects the moving distance, it will pass the information through the microcomputer network. The information finally arrives at a more powerful computer for data analysis. Any abnormal readings that do not match the current weather conditions may indicate the existence of the bridge. Based on this information, the system will notify the engineer to repair it to ensure that the bridge remains intact in the event of an earthquake or other natural disaster. The Intelligent Transportation System (ITS) is a new type of transportation system developed on the basis of the traditional transportation system. It integrates information, communication, control and computer technology and other modern communication technologies into the transportation field, and will "man-car- Road-environment is organically combined. Adding a wireless sensor network technology to the existing transportation facilities will fundamentally alleviate the problems of safety, fluency, energy saving and environmental protection that plague modern transportation, and at the same time improve traffic efficiency. Therefore, the application of wireless sensor network technology to intelligent transportation systems has become a research hotspot in recent years. The intelligent transportation system mainly includes the collection of traffic information, the transmission of traffic information, traffic control and induction. Wireless sensor networks can provide an effective means for information collection and transmission of intelligent transportation systems to monitor traffic flow and vehicle speed in all directions of roads and intersections. It is mainly composed of subsystems such as information acquisition input, policy control, output execution, data transmission and communication between subsystems. The information acquisition subsystem mainly collects vehicle and road information through sensors, and then the strategy control subsystem calculates the best solution according to the set target and uses the calculation method, and outputs control signals to the execution subsystem to guide and control the vehicle. Pass through to achieve the preset goal. Wireless sensor networks can also be used in intelligent transportation for technical applications such as traffic information release, electronic toll collection, vehicle speed measurement, parking management, integrated information service platform, intelligent public transportation and rail transit, traffic guidance systems and integrated information platforms. Suturing Instrument Blister Tray
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