CN110582066B - Urban strong convection weather prevention system - Google Patents
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- CN110582066B CN110582066B CN201910308757.XA CN201910308757A CN110582066B CN 110582066 B CN110582066 B CN 110582066B CN 201910308757 A CN201910308757 A CN 201910308757A CN 110582066 B CN110582066 B CN 110582066B
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- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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- H—ELECTRICITY
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- H04W—WIRELESS COMMUNICATION NETWORKS
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- H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
Abstract
The invention provides a city strong convection weather prevention system which is characterized by comprising a physical layer, a client application layer and a cloud application layer, wherein: a distributed wireless sensor network is arranged in the physical layer; the client application layer comprises a common user App and an administrator App which run on the intelligent mobile terminal. After the invention is adopted, the user directly uses the mobile equipment to obtain the network monitoring data information from the node, and the support module and the application layer program in the network monitoring data information provide corresponding services. And due to the addition of the cloud server, an administrator can access the cloud at any position to observe data in a monitoring area.
Description
Technical Field
The invention relates to a system for preventing urban strong convection weather.
Background
With the continuous development of cities in China, city life becomes increasingly complex, the accident prevention and control situation is not optimistic, and the types of city disasters are gradually increased, wherein the city disasters and the strong convection weather disasters are the majority.
Urban fire is a key object for urban disaster prevention and control. Due to the characteristics of fast spreading trend, wide crisis range and the like of urban fire, relatively more researches are carried out on the aspects of urban fire prevention and danger avoidance.
On the contrary, in the field of urban strong convection weather prevention, a stable, efficient and practical system is provided. The strong convection weather in urban disasters generally belongs to the phenomenon of meteorological occurrence in a small space, and the work of forecasting and early warning has certain difficulty because the strong convection weather is high in generating speed and small in space. However, the frequency of accidents in urban strong convection weather worldwide is higher and higher, and the degree of harm is only increased and not reduced. Urban meteorological disasters are increasingly showing high destructiveness, high frequency, low stability and determining factor diversity. Compared with other urban disasters, the strong convection weather disaster has larger destructiveness, wider influence range and more difficult prevention work. If the strong convection weather disasters such as thunderstorms, short-time strong rainfall, snowstorms, strong winds and the like cannot be properly controlled, economic losses and casualties caused by the strong convection weather disasters are hard to imagine, and even chain reaction can occur to cause another series of urban disasters.
The mobile intelligent device developed vigorously in recent years not only has strong communication capability, man-machine interaction capability and network function, but also has various positioning, time service and various sensors which are beneficial to providing various functions for users. Common applications of the mobile intelligent device in the field of safety guarantee include functions of replacing an upper computer, image information acquisition, field data processing, emergency network support, data acquisition by using a sensor in the mobile intelligent device and the like in a traditional monitoring management system. In the above usage, the mobile intelligent device is generally used as a terminal information collection device, a network communication device or an upper computer. The using mode can give full play to the advantages of the mobile intelligent device in distributed processing and distributed service and the highly integrated sensor data acquisition and interaction capability. In addition, in a common security supervision internet of things system based on the mobile intelligent device, a specially developed App is usually used for realizing a corresponding function, and various supports are provided for the whole system.
The wireless sensor network technology becomes a core supporting technology in the field of urban safety guarantee due to the advantages of reliable performance, low cost, simple and convenient networking, strong structural flexibility, suitability for outdoor work and the like. The low power consumption wide area network (LPWAN) is a revolutionary sign of the Internet of things by virtue of low cost, low power consumption, high efficiency and wide coverage, and provides a foundation for building an outdoor Internet of things.
Disclosure of Invention
The purpose of the invention is: the mobile intelligent equipment is combined with the wireless sensor network, the distributed acquisition of the safety supervision data of the urban strong convection weather under the conventional and emergency conditions is realized, and the distributed processing and service facing to different urban safety guarantee situations is realized.
In order to achieve the above object, the technical solution of the present invention is to provide a city strong convection weather prevention system, which is characterized by comprising a physical layer, a client application layer and a cloud application layer, wherein:
a distributed wireless sensor network is arranged in the physical layer and is formed by networking a multi-service fixed node and a multi-service mobile node; each multi-service fixed node is used for acquiring lightning data, atmospheric pressure data, combustible gas concentration data and positioning data, after the multi-service fixed nodes are deployed to a monitoring area, the absolute positions of the multi-service fixed nodes are fixed and unchanged, signals sent by all the multi-service fixed nodes completely cover the monitoring area, and all the multi-service fixed nodes form a complete and effective wireless sensor network; the multi-service mobile node is carried on an unmanned aerial vehicle, an unmanned vehicle or an unmanned ship and carries out data communication with the unmanned aerial vehicle, the unmanned vehicle or the unmanned ship, the multi-service mobile node obtains physical position information of a rescue target from a client application layer, then sends the physical position information to the unmanned aerial vehicle, the unmanned vehicle or the unmanned ship, the multi-service mobile node carried by the unmanned aerial vehicle, the unmanned vehicle or the unmanned ship moves to the position of the rescue target, the rescue target establishes data communication with the multi-service mobile node by using the client application layer, meanwhile, the multi-service mobile node serves as a convergent node of the wireless sensor network to receive data of all multi-service fixed nodes in the wireless sensor network through LoRa transparent broadcasting, the multi-service mobile node dynamically collects information of the multi-service fixed nodes living in the wireless sensor network, and the stored information of the global survival multi-service fixed node is used for exchanging an optimal escape route recommended by an electronic map, guiding a rescue target to avoid danger by an unmanned aerial vehicle, an unmanned vehicle or an unmanned ship according to the optimal escape route;
the method comprises the steps that a client application layer comprises a common user App and an administrator App which operate on an intelligent mobile terminal, after the intelligent mobile terminal with the common user App enters a monitoring area, the common user App and a multi-service fixed node carry out full duplex communication to obtain lightning data, atmospheric pressure data, combustible gas concentration data and positioning data of the multi-service fixed node, the lightning data, the atmospheric pressure data, the combustible gas concentration data and the positioning data are displayed on the common user App on one hand, and on the other hand, the common user App serves as a data relay to upload the lightning data, the atmospheric pressure data, the combustible gas concentration data and the positioning data to a cloud application layer; when a user is in danger, the user sends out distress information through a common user App, the common user App acquires current position information of the user through a positioning module embedded in an intelligent mobile terminal, if the acquisition fails, the common user App is connected with a nearest multi-service fixed node, the positioning information of the multi-service fixed node is used as the current position information of the user, and the common user App sends the current position information of the user and the user information to a cloud application layer; the user can manage the equipment in the physical layer only through the administrator App;
when a common user App reads multi-service fixed node data, the data are transmitted to a cloud application layer in a background uplink mode and stored in a database of the cloud application layer; when no ordinary user App is accessed, each multi-service fixed node in the wireless sensor network transmits data to a multi-service mobile node, the multi-service mobile node temporarily stores the data in hardware, and after an administrator App accesses the multi-service fixed node, the data temporarily stored by the multi-service fixed node is uploaded to a database of a cloud application layer through the administrator App; if the cloud application layer does not receive information of a certain multi-service fixed node for a long time, the multi-service fixed node is defaulted to be dead, the cloud application layer deletes the position information of the multi-service fixed node, and physical layer data of the multi-service fixed node is reserved for later data mining.
Preferably, the multi-service fixed node contains a lightning sensor, an atmospheric pressure sensor and a combustible gas concentration sensor.
Preferably, the cloud application layer is built in a cloud server, and the cloud server adopts a distributed structure and a high availability strategy to provide multi-service services externally in a server cluster form.
Preferably, after receiving the current position information and the user information of the user sent by the common user App, the cloud application layer selects N administrators closer to the help seeker according to the current position information, and only sends the rescue information to the N administrators and the rescue team.
After the invention is adopted, the user directly uses the mobile equipment to obtain the network monitoring data information from the node, and the support module and the application layer program in the network monitoring data information provide corresponding services. And due to the addition of the cloud server, an administrator can access the cloud at any position to observe data in a monitoring area. On the premise that the mobile intelligent equipment is widely used nowadays, the daily safety monitoring process is greatly optimized, and especially in an emergency, a user can immediately know the surrounding situation without the support of external equipment such as the internet or a mobile base station and the like, and obtain disaster relief and danger avoidance guidance. If the system is applied to the environment of urban strong convection weather prevention, managers or people around an accident can know safety hazards from data obtained by the multi-service wireless sensor network nodes and corresponding analysis decision results through the mobile intelligent equipment in daily life, and management intervention with certain authority is carried out. After an accident occurs, even if peripheral communication facilities are damaged, disaster relief personnel can directly acquire monitoring data in the coverage area of the multi-service wireless sensor network through the mobile intelligent equipment by the multi-service wireless sensor network node and obtain disaster relief auxiliary information. People around the accident can also know the accident disaster condition through the mobile intelligent device and evacuate according to the danger avoiding guidance provided by the mobile device. Through the research on the system, a new support technology is hopeful to be provided for urban safety guarantee, the effect of daily safety monitoring is further enhanced, and the life and property loss of people is saved when dangerous accidents happen.
Drawings
FIG. 1 is a functional diagram of a multi-service fixed node;
FIG. 2 is a functional diagram of a multi-service mobile node;
FIG. 3 is a diagram of cloud server application functionality;
fig. 4 is a flowchart of a relay function of a rescue signal of the cloud server;
fig. 5 is a functional diagram of a general user App;
FIG. 6 is a flow chart of a user Android App help-seeking function;
fig. 7 is a functional diagram of the administrator Android App.
Detailed Description
The invention will be further illustrated with reference to the following specific examples. It should be understood that these examples are for illustrative purposes only and are not intended to limit the scope of the present invention. Further, it should be understood that various changes or modifications of the present invention may be made by those skilled in the art after reading the teaching of the present invention, and such equivalents may fall within the scope of the present invention as defined in the appended claims.
The urban strong convection weather prevention system provided by the invention can be roughly divided into a physical layer, a client application layer and a cloud application layer. The physical layer is integrated on the nodes, the client application layer is integrated in the mobile intelligent device, the cloud application is deployed on the cloud server, the three layers are mutually isolated, and data interaction is carried out through a specific protocol.
In a system physical layer, a wireless sensor network multi-service node provides physical data support and node position information for the whole system through an intelligent sensor, the wireless sensor network multi-service node is divided into two types according to the fact that the wireless sensor network multi-service node can move or not, one type is a multi-service fixed node with a fixed position, after the node is deployed to a monitoring area, the node does not move on an absolute physical position, and the system can continuously supplement new nodes along with the death of the node so as to ensure the activity and the effectiveness of the whole system. The other type of the mobile nodes is a multi-service mobile node carried on equipment such as an unmanned aerial vehicle, an unmanned ship and an unmanned vehicle, the nodes are carried on the mobile equipment such as the unmanned aerial vehicle or the unmanned vehicle and are communicated with the unmanned aerial vehicle through an onWire data interface, the mobile nodes enter a monitoring area in real time after receiving rescue signals to find the physical position of a rescue signal source, danger avoidance guidance is carried out after people in danger are docked, and the mobile nodes can automatically return to a designated position to wait for receiving a next rescue instruction after a guidance task is completed.
The client application layer has two types of specific implementation, namely, an App in common user mobile intelligent equipment with general authority is held, the App is opened to all users, a holder has service functions of data monitoring, risk avoiding and escaping, rescue request and the like, and the users can download or delete the application at will; the other type is an administrator mobile intelligent device App, the App only allows an administrator to use, externally shields a downloading source, prohibits an ordinary user from downloading and using, requires the administrator to register identity in a server end in a real name mode, and has all rights after authentication is successful, wherein the rights include unmanned aerial vehicle management, peripheral devices switching on and off and the like.
The independent cloud server node mainly comprises a server database, a Tomcat server application framework, a cloud application program and the like. On the premise that the cloud application and the client application can be interacted, various back-end technologies are integrated, all service functions of the system are perfected and optimized, the efficient and real-time risk avoidance guiding function of the system is achieved, the network safety of the whole system is strengthened, and core functions of distributed storage, distributed calculation, rescue task planning and the like are achieved in the whole system.
In addition to the above three modules, in order to give the nodes the special functions of being movable, some special nodes are loaded on movable equipment, such as unmanned planes or unmanned vehicles. In consideration of the gradual maturity of unmanned aerial vehicles in the fields of image acquisition, information acquisition, traffic control, city monitoring and the like in recent years, the unmanned aerial vehicle suite can be completely put into use, and the unmanned aerial vehicle suite is not developed for the unmanned aerial vehicle any longer in the system, but the unmanned aerial vehicle suite of the north navigation is directly adopted to load special nodes. The composition diagram of the whole system is as follows:
the overall functionality of the system provided by the present invention is as follows:
firstly, a common user downloads an App loaded with common authority and logs in or registers the App through a wireless network, in the process, the App submits user information such as an account, a password, a mobile phone number and the like to a cloud server background, and the registered user can directly log in. And downloading the App loaded with the administrator authority by the administrator, and acquiring the control right of the App through real-name authentication.
Before the execution of daily monitoring service or danger avoiding service, the target monitoring area completes the first deployment of fixed nodes, the whole monitoring area is covered by the nodes by default, networking is realized among the nodes, and a complete and effective wireless sensor network is formed.
When the daily monitoring service is operated, a common user or an administrator can hold the mobile intelligent device downloaded with the App to enter a monitoring area, Bluetooth operation can be carried out in the mobile intelligent device App, namely Bluetooth is turned on, turned off, searched or disconnected, the mobile device and the nodes are connected after the Bluetooth connected to the multi-service nodes is finished, and a full duplex communication channel is opened. The user can operate the App to read data such as sensor data, node information and node physical position information of the node, wherein the sensor data can be dynamically displayed in a UI (user interface) form in a line graph form. When the mobile intelligent device and the node perform data interaction, the data can be transmitted to the cloud server in a data flow mode in the background in an uplink mode until the mobile device is disconnected from the node. The mobile intelligent device plays a role of data relay, and the data on the physical layer flow to the cloud server after being filtered by the mobile terminal App.
When the danger avoiding rescue service is operated, a user clicks a 'rescue request' button in an App (application) of the mobile intelligent device, the App can acquire the position information of a person seeking help through GPS (global positioning system) positioning embedded in the mobile intelligent device at the background, if the acquisition fails, the user can be informed of connecting nodes nearby, the GPS position information of the nodes is acquired from the nodes, and the physical position information and the user information are packaged and sent to a cloud server. After the rescue information is uploaded successfully, the cloud server distributes the rescue information to nearby managers, and the unmanned aerial vehicle is dispatched or a rescue team is informed to rescue according to the selection of the managers. The unmanned aerial vehicle is provided with special nodes, the load nodes of the unmanned aerial vehicle acquire physical position information of a rescue target through an administrator App and transmit the physical position information to the unmanned aerial vehicle flight control system through an oneWire data interface, the unmanned aerial vehicle carries the load nodes to fly to the rescue target position, a guide user is connected through Bluetooth, and finally an unmanned aerial vehicle finishes a risk avoiding rescue task. The unmanned aerial vehicle load node is a wireless sensor network sink node, and all fixed nodes in the wireless sensor network transmit data to the unmanned aerial vehicle load node through LoRa transparent broadcast. The load node and the mobile intelligent device of the person in danger carry out data interaction through Bluetooth, an App-bonded Baidu map SDK recommends an optimal route, and the unmanned aerial vehicle flight control system dynamically acquires the optimal route and then flies at a low speed according to the route in an air-floating mode to guide the person in danger to avoid danger. After the people in danger successfully escape through the optimal escape route, the unmanned aerial vehicle navigates back for next dispatching of the administrator.
In order to make the data of the wireless sensor network meet the real-time performance, the coverage performance and the accuracy, the multi-service mobile node and the multi-service fixed node are required to integrate the function of monitoring the physical environment data. The deployment environment of the system determines the type of the monitored target data, so that the specific sensor is selected. In the system, four physical environment data, namely an atmospheric pressure value, a lightning distance, a lightning number at the front edge of a storm and a combustible gas concentration, are selected as characteristic physical parameters according to environmental parameters of strong convection weather. Comprehensively considering the type of target physical environment data, the cost of nodes and the accuracy of monitoring data, MPL3115 is selected to monitor the atmospheric pressure value, AS3935 is used to monitor the lightning distance and the number of lightning at the front edge of a storm, and TGS813 is used to monitor the concentration of combustible gas.
In order that the mobile intelligent device can directly access the system to perform daily monitoring or emergency risk avoidance operation, the two types of nodes need to perform full-duplex communication with the mobile intelligent device. Because the system is a distributed wireless sensor system in the urban environment, the system cannot continuously supply power to the nodes like the traditional indoor centralized Internet of things system, the survival time of the nodes is directly influenced by the electric quantity of the nodes, and under the condition that the power type of the nodes is not considered, the lower the power consumption of the nodes is, the longer the survival time of the nodes is, the longer the service life of the nodes in the same generation is, and the better the fault tolerance performance of the wireless sensor network is. However, because the ratio of the power consumption of the node due to the communication to the total power consumption of the node is high, the communication power consumption of the node is reduced, and the requirement of low power consumption of the node can be effectively met, so that the communication function of the node is supported by selecting the low power consumption bluetooth and the LoRa low power consumption wide area network technology in the system.
In the system emergency hedge service, rescue emergency personnel enter a node laying area, some peripheral devices such as a water pump, a fan and the like exist in the area, the rescue emergency personnel can directly connect the nodes with the peripheral devices, and the devices are controlled by accessing the nodes through mobile intelligent equipment. It should be noted that, considering the low power consumption requirement of the node and the objective requirements of node cost, node volume, etc., the node only provides an interface to the outside and does not integrate peripheral devices.
In order to realize the system guiding risk avoidance function, the node needs to acquire position information. Although the node can request the location information through the access of the mobile intelligent device, in order to prevent the nodes with hidden or remote deployment locations from having no access of the mobile intelligent device, the hardware node needs to acquire the location information independently of the mobile intelligent device. The GPS module just provides physical position information for the hardware node and returns the longitude and latitude of the point where the node is located so as to realize the guiding risk avoiding function of the system.
In this embodiment, a functional diagram of a multi-service fixed node is shown in fig. 1.
For the multi-service mobile node loaded by the unmanned aerial vehicle, although the unmanned aerial vehicle suite has a positioning function, the multi-service mobile node can acquire longitude and latitude information from the unmanned aerial vehicle flight control position, the high-precision requirement of the position information during the risk avoiding task is considered, and in order to avoid the condition that the unmanned aerial vehicle GPS module cannot quickly return GPS data when the unmanned aerial vehicle GPS module is busy, the unmanned aerial vehicle overall system uses double GPS modules, namely the unmanned aerial vehicle suite and the multi-service mobile node are integrated with the GPS module.
The multi-service mobile node has the functions of a multi-service fixed node, and also needs to perform data interaction with the unmanned aerial vehicle, and when a rescue task is performed, rescue target position information needs to be uploaded to the unmanned aerial vehicle through an oneWire data interface; when people in distress are guided to escape, the mobile intelligent equipment is accessed, the global survival node information stored by the multi-service mobile node is used for exchanging the optimal escape route recommended by the Baidu map SDK, and the unmanned aerial vehicle flies in a suspended mode according to the route. When guiding to avoid risks, the environment is complex and changeable, nodes die at any time, escape routes are changed accordingly, multi-service mobile nodes need to dynamically collect information of nodes living in the whole wireless sensor network, and the multi-service mobile nodes are needed to serve as sink nodes to dynamically capture the information of the nodes living in the whole network. In this embodiment, a functional diagram of a multi-service mobile node is shown in fig. 2.
In order to enrich the data monitoring mode of the system and the data storage form of the hardware node and improve the emergency risk avoiding efficiency, system application software needs to provide rich, efficient and safe services for the outside. The system application software is divided into cloud server application and mobile intelligent device Android App. In order to meet the requirement of persistent storage of a large amount of data of the system, better provide rescue services for users and enhance the stability and safety of the system, the cloud server provides a plurality of user services, data services and rescue relay services outwards. The Android App of the mobile intelligent device visualizes the sensing data of the hardware to the user, starts a data relay function for the physical layer and the cloud server, provides quick, accurate and effective rescue service for the user, and facilitates the operation of the unmanned aerial vehicle by an administrator.
Compared with the traditional Internet of things, the distributed monitoring-risk avoiding system provided by the invention has a wireless sensor network with a wider coverage range, which means that the number of nodes distributed in the network is larger, and the data volume acquired by the network is increased, so that the data generated by the system during monitoring has more accurate real-time performance, higher mass, polymorphism and heterogeneity. In the past, a processing mode of storing data into node hardware equipment or a disaster area upper computer no longer meets a distributed wireless sensor network system. In recent years, the cloud technology is rapidly developed by the characteristics of high operation speed, high reliability, strong compatibility, high expansibility and the like, so that the system can possibly store mass data.
In the system designed by the invention, the cloud server is used as a top application layer, the Aliskiu lightweight server is used as the cloud server, and three servers are rented and built into a server cluster in order to enable the system to be highly available at the cloud end. The cloud server is a core part of remote data transmission and data storage. It is downward compatible with the client application layer data interface.
The cloud integrates a common user login and registration function, an administrator identity verification and authority distribution function, a function of storing information of common users and administrators, a function of storing physical environment data of each node, a function of storing position information of each global survival node, and a function of receiving rescue requests of people in distress and informing the administrators of rescue tasks. The cloud server application function is shown in fig. 3.
When a common user logs in or registers at the mobile intelligent device App, the common user can access an interface of the cloud server and access a database of the cloud, and the login function is completed by inquiring user information in the database or the registration function is completed by adding the user information in the database. Each cloud server can maintain its own database and use a high availability strategy, so that the information of each database is consistent, once one server cannot provide service due to some irresistible reasons, the other two servers still provide service to the outside.
The administrator needs to verify in the server before exercising the management authority, and the administrator submits personal information to the server through the administrator App during verification. And at the moment, the cloud server maintains an encrypted administrator form, completes administrator verification after comparing verification information with administrator form information, and gives authority to an administrator. It should be noted that the encryption of the administrator form is dynamic, the worker can change the encryption mode at the cloud console, and meanwhile, the administrator information can be added, deleted or modified, and the authority of the deleted administrator is invalidated in the next verification, and the verification fails. Since the user's personal information is private to the administrator information, the server will prohibit access from outside the system, allowing only the staff to view it at the server console. Once malicious access to the user data is found, the system will block all requests to access the source and blacklist its IP address.
The cloud server also provides a data storage function to the outside. When a common user reads data on a physical layer by using a mobile intelligent device App, the data are transmitted to a cloud server in a background uplink mode and are stored in a database; when no ordinary user accesses, each node in the wireless sensor network transmits data to a sink node, namely an unmanned aerial vehicle load node, the load node can temporarily store the data in hardware, and after a manager accesses the unmanned aerial vehicle, the data can be uploaded to a cloud server through an administrator App and stored to a database.
Data transmitted by the two modes are also mixed with position information of the nodes, the server can analyze the position information of the surviving nodes, if the server does not receive the information of a certain node for a long time, the node can be defaulted to be dead, the position information of the node is not important any more at the moment, the server can delete the position information of the node, and the physical layer data of the node can be reserved for later-stage data mining.
The cloud server provides a rescue signal relay function to the outside. After the victim presses the rescue key in the Android App of the mobile device, the rescue signal is not directly transmitted to the administrator but transmitted to the cloud server, the cloud server obtains user information and position information of the victim, three administrators which are close to the victim are selected according to the position information of the user information and the position information, and the rescue information is only transmitted to the three administrators and rescue teams. The flow chart of the rescue signal relay function is shown in fig. 4.
The ordinary user App has user login and registration functions, Bluetooth opening, closing, searching and connecting operation functions, physical layer data visualization functions, danger avoidance decision visualization functions, peripheral device control functions, physical layer data transmission to the cloud side function in the background and one-key help seeking functions. The functional diagram of the ordinary user App is shown in fig. 5.
Because an authority verification mechanism is embedded in the Android system, a common user Android App needs to open a plurality of authorities such as Bluetooth use authority, network use authority and the like before use, otherwise, part of application functions cannot be realized. Firstly, a common user can register or log in through an App under the condition of a network, and personal information is uploaded to a cloud end and stored during registration.
In order to meet the requirement that a user or an administrator carries out daily monitoring operation on the system, the mobile intelligent device is rapidly connected into the node, the App provides a Bluetooth operation function, after the user installs the App on the mobile intelligent device with Bluetooth, the user does not need to enter the setting of the mobile intelligent device with Bluetooth to carry out Bluetooth operation, and only the operation is carried out on an App Bluetooth interface. The user searches for the Bluetooth under the condition of being close to the node, is connected with the node, can acquire the physical layer sensing data of the node and the position information of the node, and can also acquire the authority for controlling the peripheral devices if the node is connected with the peripheral devices. The acquired data is dynamically displayed in a chart form, and a user can select the type of the data to be monitored, namely the atmospheric pressure value, the lightning distance, the lightning number at the storm front edge and the concentration of combustible gas. When data are monitored, all data of the physical layer of the node are uploaded to the cloud server in the background, if the network environment is poor, the data cannot be uploaded, the App cannot be blocked, and other functions can be normally operated.
Considering that when the emergency danger avoiding service of the system is activated, the physical environment is relatively severe, people in danger are difficult to cool and quiet and can not avoid danger quickly, the ordinary user App integrates a one-key help seeking function, and after the user clicks a help seeking key, the App can acquire position information and sends a help seeking signal containing the position information to the cloud server. It should be noted that, if the mobile smart device of the user does not have a positioning function or does not have positioning permission to be turned on, the App may prompt the user to find the nearest available node and connect the node to obtain the location information of the node, as shown in fig. 6.
In order to meet the high efficiency of the system risk avoiding business, the App integrates a Baidu map, and a user can use the Baidu map without jumping to the App. After clicking the rescue key, the user can request the position information of the global survival node of the cloud server at the background, the App recommends the optimal escape route according to the API of the Baidu map SDK, and the Baidu map interface draws the optimal escape route. In order to ensure the escape safety, the App recommends that the user escape after waiting for the unmanned aerial vehicle load node to arrive in the original place.
The administrator Android App has all functions of a common user App, which can be used without authentication. For stopping the situations of maliciously controlling the unmanned aerial vehicle, maliciously receiving distress signals and the like, the administrator App supports the identity verification function, the identity verification function is different from the login function of an ordinary user App, and the identity verification function needs to provide information such as employee number, name, login password and employee mobile phone number. Before verification succeeds, the App locks the administrator authority, does not lock the non-administrator authority, and can issue the authority after verification succeeds by the cloud server, so that the administrator can log in the App and has all the authorities. The App system permission table is shown as the following table:
the administrator user can receive distress signals from victims and processed by the cloud server after verification succeeds, the positions of the victims can be displayed on a map, and the administrator is connected with the unmanned aerial vehicle load nodes to control the unmanned aerial vehicle to complete danger-avoiding guiding services.
In order to facilitate the administrator to schedule the unmanned aerial vehicle and make rescue decisions in time, the administrator App can display the node coverage condition on the map. Because when a disaster happens, the wireless sensor network is unstable, a large number of nodes are eliminated, and new nodes are scattered to a disaster area, so that the node distribution map of the administrator App can be continuously refreshed to display the latest node distribution condition, and the administrator can also analyze that the unmanned aerial vehicle is started to carry out rescue or call a rescue team to carry out rescue through the node distribution condition. The function diagram of the administrator Android App is shown in fig. 7.
The invention mainly analyzes the overall function of the system from the multi-service node hardware function and the application layer software function. The multi-service node hardware is bonded with functions of sensing data acquisition, position information acquisition, external peripheral device control interface supply, mobile intelligent device Bluetooth access support, data interaction with system nodes and the like. The application layer software is divided into a mobile terminal App and a cloud server, the ordinary user App is bonded with a login registration function, functions such as Bluetooth connection, data reading and peripheral device control are carried out on nodes, functions such as cloud data uploading and one-key help seeking are carried out, and functions such as unmanned aerial vehicle control, help seeking signal receiving and global node coverage condition checking are added to the administrator App on the basis of the ordinary user App. The cloud service provides services for login and registration of a common user and identity authentication of an administrator, and has the functions of rescuing relays, storing user information, node data and the like.
Claims (4)
1. The utility model provides a strong convection weather prevention system in city which includes physical layer, customer end application layer and high in the clouds application layer, wherein:
a distributed wireless sensor network is arranged in the physical layer and is formed by networking a multi-service fixed node and a multi-service mobile node; each multi-service fixed node is used for acquiring lightning data, atmospheric pressure data, combustible gas concentration data and positioning data, after the multi-service fixed nodes are deployed to a monitoring area, the absolute positions of the multi-service fixed nodes are fixed and unchanged, signals sent by all the multi-service fixed nodes completely cover the monitoring area, and all the multi-service fixed nodes form a complete and effective wireless sensor network; the multi-service mobile node is carried on an unmanned aerial vehicle, an unmanned vehicle or an unmanned ship and carries out data communication with the unmanned aerial vehicle, the unmanned vehicle or the unmanned ship, the multi-service mobile node obtains physical position information of a rescue target from a client application layer, then sends the physical position information to the unmanned aerial vehicle, the unmanned vehicle or the unmanned ship, the multi-service mobile node carried by the unmanned aerial vehicle, the unmanned vehicle or the unmanned ship moves to the position of the rescue target, the rescue target establishes data communication with the multi-service mobile node by using the client application layer, meanwhile, the multi-service mobile node serves as a convergent node of the wireless sensor network to receive data of all multi-service fixed nodes in the wireless sensor network through LoRa transparent broadcasting, the multi-service mobile node dynamically collects information of the multi-service fixed nodes living in the wireless sensor network, and the stored information of the global survival multi-service fixed node is used for exchanging an optimal escape route recommended by an electronic map, guiding a rescue target to avoid danger by an unmanned aerial vehicle, an unmanned vehicle or an unmanned ship according to the optimal escape route;
the method comprises the steps that a client application layer comprises a common user App and an administrator App which operate on an intelligent mobile terminal, after the intelligent mobile terminal with the common user App enters a monitoring area, the common user App and a multi-service fixed node carry out full duplex communication to obtain lightning data, atmospheric pressure data, combustible gas concentration data and positioning data of the multi-service fixed node, the lightning data, the atmospheric pressure data, the combustible gas concentration data and the positioning data are displayed on the common user App on one hand, and on the other hand, the common user App serves as a data relay to upload the lightning data, the atmospheric pressure data, the combustible gas concentration data and the positioning data to a cloud application layer; when a user is in danger, the user sends out distress information through a common user App, the common user App acquires current position information of the user through a positioning module embedded in an intelligent mobile terminal, if the acquisition fails, the common user App is connected with a nearest multi-service fixed node, the positioning information of the multi-service fixed node is used as the current position information of the user, and the common user App sends the current position information of the user and the user information to a cloud application layer; the user can manage the equipment in the physical layer only through the administrator App;
when a common user App reads multi-service fixed node data, the data are transmitted to a cloud application layer in a background uplink mode and stored in a database of the cloud application layer; when no ordinary user App is accessed, each multi-service fixed node in the wireless sensor network transmits data to a multi-service mobile node, the multi-service mobile node temporarily stores the data in hardware, and after an administrator App accesses the multi-service fixed node, the data temporarily stored by the multi-service fixed node is uploaded to a database of a cloud application layer through the administrator App; if the cloud application layer does not receive information of a certain multi-service fixed node for a long time, the multi-service fixed node is defaulted to be dead, the cloud application layer deletes the position information of the multi-service fixed node, and physical layer data of the multi-service fixed node is reserved for later data mining.
2. The urban strong convection weather prevention system of claim 1, wherein the multi-service fixed node contains a lightning sensor, an atmospheric pressure sensor and a combustible gas concentration sensor.
3. The system of claim 1, wherein the cloud application layer is built in a cloud server, and the cloud server adopts a distributed structure and a high availability strategy to provide multi-service services to the outside in a server cluster form.
4. The system of claim 1, wherein the cloud application layer receives current location information and user information of a user sent by a common user App, selects N administrators closer to a person seeking help according to the current location information, and sends rescue information to the N administrators and a rescue team.
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| CN111770133B (en) * | 2020-05-20 | 2021-07-20 | 同济大学 | Multi-body intelligent-connection cloud control platform |
| CN111970647B (en) * | 2020-08-18 | 2021-11-26 | 深圳风角智能科技有限公司 | Emergency broadcast synchronous playing system and working method |
| CN113507496B (en) * | 2021-05-27 | 2023-03-24 | 湖南省气象服务中心 | Deployment method of emergency early warning information release system |
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