CN110766901A - Automobile fire alarm instrument - Google Patents
Automobile fire alarm instrument Download PDFInfo
- Publication number
- CN110766901A CN110766901A CN201810829255.7A CN201810829255A CN110766901A CN 110766901 A CN110766901 A CN 110766901A CN 201810829255 A CN201810829255 A CN 201810829255A CN 110766901 A CN110766901 A CN 110766901A
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- Prior art keywords
- fire
- module
- probability
- sensor
- main control
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/06—Electric actuation of the alarm, e.g. using a thermally-operated switch
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/10—Actuation by presence of smoke or gases, e.g. automatic alarm devices for analysing flowing fluid materials by the use of optical means
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/002—Generating a prealarm to the central station
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/08—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using communication transmission lines
Abstract
The utility model provides a car fire alarm appearance, belongs to sensor detection technical field, is mainly by sensor acquisition module, Zigbee sub-node, Zigbee coordinator, STM32 main control board, bee calling organ, fuse algorithm module etc. and constitute its characterized in that: the automobile fire alarm device comprises a sensor acquisition module, a Zigbee coordinator, an STM32 main control board, an STM32 main control board, a buzzer and a fusion algorithm module, wherein the sensor acquisition module is connected with the Zigbee sub-nodes, the Zigbee coordinator is connected with the Zigbee coordinator, the STM32 main control board is connected with the buzzer, and the fusion algorithm module is connected with the STM32 main control board.
Description
Technical Field
The invention relates to an automobile fire alarm instrument, and belongs to the technical field of sensor detection.
Background
With the increasing importance of automobiles in modern life, the problem of automobile fire is attracting more and more attention. In recent years, the number of automobile fires tends to rise all over the country, the proportion of fire loss is continuously increased, losses and disputes are more and more increased, and correspondingly, the problem of life and property loss caused by the fire loss is more and more prominent and serious. Under the background, the method has increasingly important significance for the research on the mechanism and the characteristics of the automobile fire and the alarm technology. The invention develops an automobile fire alarm.
Disclosure of Invention
Aiming at the defects, the invention provides an automobile fire alarm instrument.
The invention is realized by the following technical scheme: the utility model provides a car fire alarm appearance, is mainly by sensor acquisition module, Zigbee child node, Zigbee coordinator, STM32 main control board, bee calling organ, fuses algorithm module, communication module and high in the clouds server and constitutes its characterized in that: the sensor acquisition module is connected with the Zigbee sub-nodes, the Zigbee sub-nodes are connected with the Zigbee coordinator, the Zigbee coordinator is connected with the STM32 main control board, the STM32 main control board is connected with the buzzer, the fusion algorithm module is connected with the STM32 main control board, the communication module is connected with the STM32 main control board, and the cloud server is connected with the communication module.
The sensor acquisition module comprises an MQ-2 smoke gas-sensitive sensor, an MQ-7 carbon monoxide sensor and a DS18B20 temperature sensor; the sensor interface board circuit comprises a power supply circuit and a pin circuit, wherein the power supply circuit is used for facilitating the movement and installation of the node equipment, and the sensor interface board is powered by three No. 7 batteries; because the power supply voltage of the CC2530 chip is 3.3V, a voltage conversion circuit needs to be designed for conversion, and the partial circuit is completed by combining the voltage stabilizing chip AES1117-3.3 and two luF capacitors; and the pin circuit is used for connecting the Zigbee core board and the sensor module, is responsible for communicating with the sensor module and provides power for the sensor module.
The fusion algorithm module adopts an improved D-S evidence theory, embodies the fire characteristic quantity information of the same automobile by three Basic Probability Assignment Functions (BPAF), and respectively represents the corresponding fire, fireless and suspected basic probability assignments of the fire characteristic quantity of the automobile under a certain numerical value. These three functions trade off in trend and the sum of probabilities is always 1. When the value of the fire characteristic quantity of the automobile is lower than a steady state value (a value under the normal working state of the automobile), the probability of 'no fire' is 1, and the probability of 'fire' and 'doubtful' is 0; when the value of the fire characteristic quantity of the automobile is higher than the threshold value, the probability of fire is 1, and the probability of no fire and the probability of doubtful fire are 0; when the value of the fire characteristic quantity of the automobile is between the steady state value and the threshold value, the probability of doubt rises along with the reduction of the probability of no fire, and then falls along with the increase of the probability of fire.
The communication module GSM/GPRS module adopts an industrial grade double-frequency GSM/GPRS module, SIM900A is realized, and the GSM/GPRS module circuit mainly comprises a power supply circuit, a SIM card interface circuit, an external reset circuit and an antenna interface.
The invention has the advantages that: the automobile fire alarm instrument provided by the invention has the advantages that the fire signals are collected by the multiple sensors, and the D-S evidence theory of the machine is used as an algorithm, so that early warning can be effectively carried out to reduce and prevent vehicle fire.
Drawings
FIG. 1 is a schematic diagram of the system of the present invention.
In the figure, the system comprises a sensor acquisition module 1, a Zigbee sub-node 2, a Zigbee coordinator 3, an STM32 main control board 4, a buzzer 5, a fusion algorithm module 6, a communication module 7, a cloud server 8.
Detailed Description
The utility model provides a car fire alarm appearance, is mainly by sensor acquisition module 1, Zigbee child node 2, Zigbee coordinator 3, STM32 main control board 4, bee calling organ 5, fuses algorithm module 6, communication module 7, high in the clouds server 8 and neural network identification module 9 and constitutes its characterized in that: the sensor acquisition module 1 is connected with the Zigbee sub-node 2, the Zigbee sub-node 2 is connected with the Zigbee coordinator 3, the Zigbee coordinator 3 is connected with the STM32 main control board 4, the STM32 main control board 4 is connected with the buzzer 5, the fusion algorithm module 6 is connected with the STM32 main control board 4, the communication module 7 is connected with the STM32 main control board 4, and the cloud server 8 is connected with the communication module 7.
The sensor acquisition module 1 comprises an MQ-2 smoke gas sensor, an MQ-7 carbon monoxide sensor and a DS18B20 temperature sensor; the sensor interface board circuit comprises a power supply circuit and a pin circuit, wherein the power supply circuit is used for facilitating the movement and installation of the node equipment, and the sensor interface board is powered by three No. 7 batteries; because the power supply voltage of the CC2530 chip is 3.3V, a voltage conversion circuit needs to be designed for conversion, and the partial circuit is completed by combining the voltage stabilizing chip AES1117-3.3 and two luF capacitors; and the pin circuit is used for connecting the Zigbee core board and the sensor module, is responsible for communicating with the sensor module and provides power for the sensor module.
And the fusion algorithm module 6 adopts an improved D-S evidence theory, embodies the fire characteristic quantity information of the same automobile by three Basic Probability Assignment Functions (BPAF), and respectively represents the corresponding fire, fireless and suspected basic probability assignments of the fire characteristic quantity of the automobile under a certain numerical value. These three functions trade off in trend and the sum of probabilities is always 1. When the value of the fire characteristic quantity of the automobile is lower than a steady state value (a value under the normal working state of the automobile), the probability of 'no fire' is 1, and the probability of 'fire' and 'doubtful' is 0; when the value of the fire characteristic quantity of the automobile is higher than the threshold value, the probability of fire is 1, and the probability of no fire and the probability of doubtful fire are 0; when the value of the fire characteristic quantity of the automobile is between the steady state value and the threshold value, the probability of doubt rises along with the reduction of the probability of no fire, and then falls along with the increase of the probability of fire.
The communication module 7, the GSM/GPRS module adopts the industrial grade double-frequency GSM/GPRS module, SIM900A realizes, GSM/GPRS module circuit mainly includes supply circuit, SIM card interface circuit, external reset circuit and antenna interface.
When the device works, the acquisition layer consists of composite acquisition nodes, temperature, flame, smoke and carbon monoxide concentration sensors are integrated on Zigbee sub-nodes, and then sensor data are uploaded to a Zigbee coordinator of a vehicle-mounted controller layer through a Zigbee network; the vehicle-mounted controller layer comprises an STM32F 103 main control board, a Zigbee coordinator and a GSM/GPRS module. The Zigbee coordinator is responsible for receiving sensor data transmitted by a Zigbee node and transmitting the sensor data to the STM32F 103 main control board in a packaging mode, the sensor data is subjected to multi-sensor information fusion algorithm processing in the STM32F 103 main control board, and then the GSM/GPRS module is controlled to execute corresponding operation (data uploading/short message alarming/short message reminding) according to an operation result and a buzzer is triggered to alarm; the remote monitoring layer is realized by adopting a third-party Internet of things server platform and is mainly responsible for receiving and storing the automobile sensor data sent by the vehicle-mounted controller layer, and then the data is released through a WEB server, so that a user can know the automobile state in real time through a mobile phone/PC terminal.
It will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in the embodiments described above without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims.
Claims (4)
1. The utility model provides a car fire alarm appearance, is mainly by sensor acquisition module, Zigbee child node, Zigbee coordinator, STM32 main control board, bee calling organ, fuses algorithm module, communication module and high in the clouds server and constitutes its characterized in that: the sensor acquisition module is connected with the Zigbee sub-nodes, the Zigbee sub-nodes are connected with the Zigbee coordinator, the Zigbee coordinator is connected with the STM32 main control board, the STM32 main control board is connected with the buzzer, the fusion algorithm module is connected with the STM32 main control board, the communication module is connected with the STM32 main control board, and the cloud server is connected with the communication module.
2. A fire alarm apparatus for vehicles as claimed in claim 1, wherein: the sensor acquisition module comprises an MQ-2 smoke gas-sensitive sensor, an MQ-7 carbon monoxide sensor and a DS18B20 temperature sensor; the sensor interface board circuit comprises a power supply circuit and a pin circuit, wherein the power supply circuit is used for facilitating the movement and installation of the node equipment, and the sensor interface board is powered by three No. 7 batteries; because the power supply voltage of the CC2530 chip is 3.3V, a voltage conversion circuit needs to be designed for conversion, and the partial circuit is completed by combining the voltage stabilizing chip AES1117-3.3 and two luF capacitors; and the pin circuit is used for connecting the Zigbee core board and the sensor module, is responsible for communicating with the sensor module and provides power for the sensor module.
3. A fire alarm apparatus for vehicles as claimed in claim 1, wherein: the fusion algorithm module adopts an improved D-S evidence theory, embodies the fire characteristic quantity information of the same automobile by three Basic Probability Assignment Functions (BPAF), and respectively represents the corresponding fire, fireless and suspected basic probability assignments of the fire characteristic quantity of the automobile under a certain numerical value. These three functions trade off in trend and the sum of probabilities is always 1. When the value of the fire characteristic quantity of the automobile is lower than a steady state value (a value under the normal working state of the automobile), the probability of 'no fire' is 1, and the probability of 'fire' and 'doubtful' is 0; when the value of the fire characteristic quantity of the automobile is higher than the threshold value, the probability of fire is 1, and the probability of no fire and the probability of doubtful fire are 0; when the value of the fire characteristic quantity of the automobile is between the steady state value and the threshold value, the probability of doubt rises along with the reduction of the probability of no fire, and then falls along with the increase of the probability of fire.
4. A fire alarm apparatus for vehicles as claimed in claim 1, wherein: the communication module GSM/GPRS module adopts an industrial grade double-frequency GSM/GPRS module, SIM900A is realized, and the GSM/GPRS module circuit mainly comprises a power supply circuit, a SIM card interface circuit, an external reset circuit and an antenna interface.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810829255.7A CN110766901A (en) | 2018-07-25 | 2018-07-25 | Automobile fire alarm instrument |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810829255.7A CN110766901A (en) | 2018-07-25 | 2018-07-25 | Automobile fire alarm instrument |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110766901A true CN110766901A (en) | 2020-02-07 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810829255.7A Pending CN110766901A (en) | 2018-07-25 | 2018-07-25 | Automobile fire alarm instrument |
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| Country | Link |
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| CN (1) | CN110766901A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111739243A (en) * | 2020-05-14 | 2020-10-02 | 电子科技大学 | D-S evidence theory-based fire state detection method |
| CN113936413A (en) * | 2021-12-03 | 2022-01-14 | 西南石油大学 | Early fire monitoring and early warning method and device |
-
2018
- 2018-07-25 CN CN201810829255.7A patent/CN110766901A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111739243A (en) * | 2020-05-14 | 2020-10-02 | 电子科技大学 | D-S evidence theory-based fire state detection method |
| CN113936413A (en) * | 2021-12-03 | 2022-01-14 | 西南石油大学 | Early fire monitoring and early warning method and device |
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Application publication date: 20200207 |