CN210042228U - Fire rescue system based on Zigbee technology - Google Patents
Fire rescue system based on Zigbee technology Download PDFInfo
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- CN210042228U CN210042228U CN201920577532.XU CN201920577532U CN210042228U CN 210042228 U CN210042228 U CN 210042228U CN 201920577532 U CN201920577532 U CN 201920577532U CN 210042228 U CN210042228 U CN 210042228U
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Abstract
The utility model discloses a fire rescue system based on Zigbee technology, which comprises a fire command center, a bracelet, a Zigbee wireless sensing network and a client; the fire-fighting command center is provided with an upper computer for real-time monitoring; the bracelet comprises a power module, a central processing module, a wireless communication module, a data storage module, a mobile positioning module, a geographic information system module and a display module; the Zigbee wireless sensing network comprises sensor nodes, a coordinator, task management nodes and mobile nodes, wherein the sensor nodes and the coordinator are arranged in a building, the coordinator is used for networking and collecting data, and the mobile nodes are provided with locators. The fire rescue system of the utility model can judge whether the fireman has the danger or not in real time, and can also master the real-time fire of the building with the fire, thereby preventing the fireman from entering the area with larger danger and causing danger; the firefighter can view the location of the fire source, the optimal safe electronic route, and the optimal safe electronic route for escape.
Description
Technical Field
The utility model relates to a fire rescue technical field especially relates to a fire rescue system based on Zigbee technique.
Background
With the change of urban construction, the structure of the building is in the development trend of high-rise and complex, so that the requirement on a fire fighting system in the building is higher, compared with the trend of rapid development of high-rise buildings, the fire fighting and rescue capability in China is seriously lagged, and a more effective fire rescue method is urgently needed. The fire-proof performance of buildings is questioned, the fire rescue of high-rise buildings is a worldwide problem, and people suffering from disasters escape more importantly. The traditional fire fighting equipment is low in scientific and technological content and narrow in application range, and is also a significant problem in fire rescue work.
Firefighters have been a high-risk task, and it has been counted that over 200 firefighters at first line sacrifice since 2000, the average age is under 25 years, and every live life elapses, which is a huge loss of society. Therefore, the personal safety guarantee problem after the fire fighters enter the scene arouses the attention of all parties. At present, a distress call device carried by a fire fighter needs to be manually started for alarming, a positioning function is not available after alarming, the position of the fire fighter in danger can be determined only by high-decibel alarming sound, the existing accident site environment is more complicated and changeable, if the fire fighter fails to start the alarming in time when in danger or the alarming is started, the positioning of the fire fighter in danger is difficult by the aid of the alarming sound alone, and if the fire fighter cannot be positioned in time, the life safety of the fire fighter is greatly threatened.
If the fire fighters can clearly know the specific position of the fire and the position of the fire after entering the fire building, the advancing direction of the fire fighters can be determined according to the carried rescue terminal, and the fire fighters can certainly reach the fire scene more quickly and accurately. In addition, if the firefighter can distinguish the escape route under complex conditions, the firefighter can be guided to evacuate effectively. Therefore, the search and rescue efficiency can be improved, casualties and property loss can be reduced, and the fire loss can be reduced as much as possible. Therefore, in fire fighting, a firefighter is provided with an intelligent fire positioning and search and rescue terminal which is used as the most direct guide for fire rescue work, so that the search and rescue convenience can be improved, the search and rescue blindness can be reduced, and more precious time can be won for fire search and rescue.
SUMMERY OF THE UTILITY MODEL
The to-be-solved technical problem of the utility model lies in: aiming at the technical problems in the prior art, the utility model provides a fire rescue system based on Zigbee technology, which can judge whether the fireman has dangerous situations in real time, and can also master the real-time fire situation of the building with fire in real time, thus preventing the fireman from entering the area with larger danger and causing danger; the firefighter can view the location of the fire source, the optimal safe electronic route, and the optimal safe electronic route for escape.
In order to solve the technical problem, the utility model provides a technical scheme does:
a fire rescue system based on Zigbee technology comprises a fire command center, a bracelet, a Zigbee wireless sensor network and a client; the fire-fighting command center is provided with an upper computer for real-time monitoring; the bracelet comprises a power module, a central processing module, a wireless communication module, a data storage module, a mobile positioning module, a geographic information system module and a display module, wherein the power module supplies power for the central processing module, the wireless communication module, the data storage module, the mobile positioning module, the geographic information system module and the display module; the Zigbee wireless sensing network comprises sensor nodes, a coordinator, task management nodes and a mobile node, wherein the sensor nodes and the coordinator are arranged in a building, the coordinator is used for networking and data acquisition, the mobile node is provided with a locator, and the task management nodes are arranged at a client.
The further improvement of the technical scheme is as follows:
the sensor node comprises a temperature sensor, a smoke sensor, a flame sensor and a human body infrared sensor.
The client is a PC terminal or a handheld terminal.
The movable node is detachably arranged on a fireman or an escaped person.
The mobile node is detachably connected with the bracelet.
The mobile positioning module is arranged on the mobile node.
Compared with the prior art, the utility model has the advantages of:
the utility model discloses a fire rescue system based on Zigbee technique has designed a wearable bracelet, through the message channel who establishes timely Zigbee communication, the on-the-spot temperature of conflagration, smog, flame, information such as life can be gathered to the sensor node, and can in time send PC terminal and bracelet terminal to, the on-the-spot condition of conflagration can long-rangely be observed to fire control command center, and can know each fire fighter's concrete positional information who gets into the fire disaster district, and can judge whether safe fire fighter, provide a guarantee for fire fighter's safety. The fire fighter also can know the concrete position information of oneself through the bracelet to can look over the best safe rescue route that the bracelet provided and rush to the scene of fire rescue, when fleing, the bracelet also can provide the route of fleing of best safety for the fire fighter, has not only shortened the time that the rescue was fleed, also reduces loss and injury simultaneously.
Drawings
Fig. 1 is a schematic view of the structural principle of the present invention.
Fig. 2 is a schematic structural diagram of the bracelet of the present invention.
Fig. 3 is a flow chart of the routing of the a-algorithm used in the embodiment of the present invention.
The reference numbers in the figures illustrate:
100. a fire command center; 101. an upper computer; 200. a sensor node; 201. a temperature sensor; 202. a smoke sensor; 203. a flame sensor; 204. a human body infrared sensor; 300. a bracelet; 301. a power supply module; 302. a geographic information system module; 303. a data storage module; 304. a display module; 305. a mobile positioning module; 306. a task management node; 400. a coordinator.
Detailed Description
The following detailed description of the embodiments of the present invention will be made with reference to the accompanying drawings. It is to be understood that the description of the embodiments herein is for purposes of illustration and explanation only and is not intended to limit the invention.
Fig. 1 to 3 illustrate an embodiment of a fire rescue system based on Zigbee technology. The utility model discloses a fire rescue system includes fire control command center 100, bracelet 300, Zigbee wireless sensor network and customer end. The fire control command center 100 is provided with an upper computer 101 for real-time monitoring; the upper computer 101 can monitor firefighters in real time, the fire command center 100 can monitor the firefighters outside the field in real time, the positions where the firefighters run can be mastered at any time, the temperature of the surrounding environment and the like can be known according to node information on the firefighters, and if an accident happens, the firefighters in a fire scene can be alarmed in real time according to actual conditions; therefore, the upper computer 101 plays a role in preventing a crisis in a fire scene.
In this embodiment, the bracelet 300 is a hand-held intelligent terminal suitable for digital acquisition, communication, storage and management of fire scene rescue, has a self-organizing network function, and can complete collection, storage, query, analysis and display of fire scene data. The bracelet is a wearable smart machine. The bracelet 300 includes a power module 301, a central processing module, a wireless communication module, a data storage module 303, a mobile positioning module 305, a geographic information system module 302 and a display module 304, wherein the power module 301 includes a data bus and a battery for supplying power to the central processing module, the wireless communication module, the data storage module, the mobile positioning module, the geographic information system module and the display module.
In this embodiment, the central processing module is an embedded processor, and the embedded processor is a key part of the embedded system, plays a vital role in the whole system, and is mainly responsible for managing system resources in the embedded system and performing tasks such as effective allocation, task scheduling of application programs, management of file systems, and providing interfaces for hardware access. The embedded operating system not only inherits the basic characteristics of a common operating system; moreover, the hardware equipment can be virtualized, and specific functions can be realized in a mode of a cutting module.
In this embodiment, the geographic information system module 302 is software composed of functional modules for storing, displaying, and analyzing data. The geospatial data acquisition and analysis system mainly comprises data input and editing, data management, data operation, data display and output and the like, and is used as an important tool for acquiring, processing, managing and analyzing geospatial data. In the embodiment, the module provides the fire fighter with the own geographical position and the optimal safe route for fire rescue at the time of fire emergency, and after the safe rescue or when the fire fighter needs to escape, the module can provide the optimal safe escape route for the fire fighter.
In this embodiment, the display module 304 is a liquid crystal display with a touch panel and supports a thin film liquid crystal display.
In this embodiment, the Zigbee wireless sensor network includes a sensor node 200, a coordinator 400, a task management node 306, and a mobile node, and the four of them form a sensor network with a wireless positioning function.
The sensor nodes 200 and the coordinator 400 are arranged in a building, the coordinator 400 is used for networking and collecting data, the mobile node is provided with a locator, and the task management node 306 is arranged at a client.
The sensor nodes 200 and the coordinator 400 are generally arranged in advance in high-rise and complex buildings and are fixed in position, and the nodes are embedded with the temperature sensors 201, the smoke sensors 202, the flame sensors 203 and the human body infrared sensors 204. Temperature sensor 201 can monitor indoor temperature at all times, and whether smoke transducer 202 can monitor smog constantly, and flame sensor 203 can detect at all times that there is the fire light to send in the building, and human infrared sensor 204 can survey because the fire syncope stranded people or the fire fighter, and human infrared sensor 204 is the sensor that is used for monitoring the human body specially and sends the infrared wave, can judge whether there is living existence. The sensor node 200 is a stationary fixed node with known location information, and its main task is to send a data packet containing relevant information such as positioning information to the mobile node for auxiliary positioning.
The coordinator 400 has the main tasks of networking and data collection, firstly responds to commands sent by the upper computer 101 or the bracelet 300, starts a network, waits for other types of nodes to enter the network, secondly receives data uploaded by other types of nodes, and sends the data to the upper computer 101 and the bracelet 300, so that fire commanders and firefighters can find the condition of a fire scene. Finally, the coordinator 400 may also act as a sensor node since its location is known and stationary.
The mobile node 305 is a node to be positioned, and can move freely in the area covered by the sensor node 200, and the positioning purpose is to know the position information of such node, and can send the position coordinates of itself and the signals collected by the sensor to the coordinator 400. The mobile node module can be freely detached and installed with the bracelet 300 into a whole, and can also be carried independently, so that the mobile node can be carried by not only firefighters, but also people who escape.
It should be noted that the embodiment implements two algorithms studied in the principle of the fire rescue system: a path-finding algorithm based on A-x algorithm and a positioning algorithm based on RSSI ranging.
The path-finding flow chart based on the a-algorithm is shown in fig. 3, where g (n) represents the path cost from the starting point to any node n, and h (n) represents the estimated value (heuristic value) of the path cost from the node n to the target node. "open" refers to an open list, which is a list of nodes waiting to be checked; "close" refers to a close list used to store nodes that do not need to be checked again.
The ZigBee-based wireless indoor positioning system adopts a combination mode of a plurality of reference nodes with known coordinates and a node to be positioned with unknown coordinates, wherein one reference node is served by a coordinator 400 and plays a role in maintaining the operation of the ZigBee wireless sensor network, and the rest nodes are terminal equipment. The system is premised on a Received Signal Strength (RSSI) ranging technique, and a theoretical value of the Received Signal Strength (RSSI) can be expressed by the formula RSSI- (10n · lg (d) + a), where: n represents a signal propagation constant, also called propagation index; d represents the distance from the emitter; a represents the received signal strength at a distance of 1 m. Attenuation of the signal is related to the distance logarithmic attenuation. The system is based on an ideal radio wave propagation model, and adopts a method of combining RSSI-distance and a curve fitting method: an analytic function (monotonicity is monotonicity reduction) is fitted according to the relationship of RSSI-distance obtained by calibration, and the measured RSSI value is used for solving the distance in a reverse mode, so that the condition that a plurality of distance values correspond to one RSSI value is avoided. Dividing the reference nodes into a plurality of groups, calculating the centroid coordinate of each group according to a centroid algorithm through the distance from the node to be positioned to the reference node with known coordinates, and calculating the average value to be the coordinate of the node to be positioned.
The utility model discloses a feasibility of this scheme has been verified in a large amount of experiments, and the product in this scheme experimental stage has can reach the in-service use requirement simultaneously, is the example of a fire rescue system.
The foregoing is illustrative of the preferred embodiment of the present invention and is not to be construed as limiting the invention in any way. Although the present invention has been described with reference to the preferred embodiments, it is not intended to limit the present invention. Therefore, any simple modification, equivalent change and modification made to the above embodiments by the technical entity of the present invention should fall within the protection scope of the technical solution of the present invention.
Claims (6)
1. A fire rescue system based on Zigbee technology is characterized by comprising a fire command center, a bracelet, a Zigbee wireless sensor network and a client; the fire-fighting command center is provided with an upper computer for real-time monitoring; the bracelet comprises a power module, a central processing module, a wireless communication module, a data storage module, a mobile positioning module, a geographic information system module and a display module, wherein the power module supplies power for the central processing module, the wireless communication module, the data storage module, the mobile positioning module, the geographic information system module and the display module; zigbee wireless sensor network includes sensor node, coordinator, task management node and mobile node, sensor node and coordinator are laid in the building, the coordinator is used for the network deployment and gathers data, mobile node is equipped with the locator, and the customer end is located to task management node, and host computer and bracelet pass through wireless network module with the coordinator and are connected, and sensor node is static known self position information's fixed node.
2. A fire rescue system based on Zigbee technology as claimed in claim 1, wherein the sensor nodes include temperature sensors, smoke sensors, flame sensors, human infrared sensors.
3. A fire rescue system as claimed in claim 1, wherein the client is a PC terminal or a handheld terminal.
4. A fire rescue system based on Zigbee technology as claimed in claim 1, wherein the mobile node is detachably disposed on a firefighter or an evacuee.
5. A fire rescue system based on Zigbee technology as claimed in claim 1, wherein the mobile node is detachably connected with a bracelet.
6. A fire rescue system as claimed in claim 4 or 5, wherein the mobile location module is provided at a mobile node.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201920577532.XU CN210042228U (en) | 2019-04-25 | 2019-04-25 | Fire rescue system based on Zigbee technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201920577532.XU CN210042228U (en) | 2019-04-25 | 2019-04-25 | Fire rescue system based on Zigbee technology |
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| Publication Number | Publication Date |
|---|---|
| CN210042228U true CN210042228U (en) | 2020-02-07 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201920577532.XU Expired - Fee Related CN210042228U (en) | 2019-04-25 | 2019-04-25 | Fire rescue system based on Zigbee technology |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111818455A (en) * | 2020-07-28 | 2020-10-23 | 广东电网有限责任公司 | Fire extinguishing system of mobile substation |
| CN113570798A (en) * | 2021-08-04 | 2021-10-29 | 吉林建筑大学 | Wireless fire detector and fire personnel positioning method |
-
2019
- 2019-04-25 CN CN201920577532.XU patent/CN210042228U/en not_active Expired - Fee Related
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111818455A (en) * | 2020-07-28 | 2020-10-23 | 广东电网有限责任公司 | Fire extinguishing system of mobile substation |
| CN111818455B (en) * | 2020-07-28 | 2023-01-20 | 广东电网有限责任公司 | Fire extinguishing system of mobile substation |
| CN113570798A (en) * | 2021-08-04 | 2021-10-29 | 吉林建筑大学 | Wireless fire detector and fire personnel positioning method |
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| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20200207 Termination date: 20210425 |
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| CF01 | Termination of patent right due to non-payment of annual fee |