CN214647602U - Fire alarm intelligent robot - Google Patents
Fire alarm intelligent robot Download PDFInfo
- Publication number
- CN214647602U CN214647602U CN202120295383.5U CN202120295383U CN214647602U CN 214647602 U CN214647602 U CN 214647602U CN 202120295383 U CN202120295383 U CN 202120295383U CN 214647602 U CN214647602 U CN 214647602U
- Authority
- CN
- China
- Prior art keywords
- mcu
- mobile platform
- fire alarm
- module
- stm
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/72—Electric energy management in electromobility
Landscapes
- Fire Alarms (AREA)
Abstract
An STM 32-based intelligent fire alarm robot comprises a mobile platform, wherein universal wheels are mounted in front of the lower portion of the mobile platform, 2 driving wheels are mounted behind the lower portion of the mobile platform, a vision sensing module is mounted in front of the upper portion of the mobile platform, and an MCU is mounted on the mobile platform; the input end of the MCU is connected with the output ends of the temperature sensor and the dust sensor, the first output end of the MCU is connected with the visual sensing module, the second output end of the MCU is connected with the input end of the buzzer, the third output end of the MCU is respectively connected with the control ends of one motor and two motors through the two-way motor driving module, and the one motor and the two motors are respectively used for controlling one driving wheel; the MCU is connected with the PC end through a wireless module, and the temperature sensor, the dust sensor and the buzzer are arranged on the mobile platform, and the PC end carries out intelligent alarm based on a flame recognition detection algorithm of YOLOv 3; the utility model discloses can accurate real-time fire alarm signal that sends, have simple structure, the convenient advantage of operation.
Description
Technical Field
The utility model relates to the technical field of robot, in particular to fire alarm intelligent robot.
Background
The robot can replace human beings to detect in the region that has the fire hazard, can not rely on individual to detect throughout the day at present. In places with strong closeness and small pedestrian volume such as machine rooms, basements, warehouses and the like, fire prevention is needed, and the fire prevention needs to be executed by a detection robot.
Most of sensing structures of existing detection robots only comprise temperature and humidity sensors and dust sensors, and the working principle is that when the robots detect that the surrounding environment is high in temperature or dust exceeds normal standards, an alarm is triggered. The detection robot has many defects, fire alarm signals cannot be sent accurately in real time sometimes, misjudgment occurs, and the robot is easily misjudged due to the fact that local temperature is increased in some special working environments and high temperature, dust and the like are generated due to illumination or equipment work in special construction sites.
Disclosure of Invention
In order to overcome the shortcoming of the prior art, the utility model aims to provide a fire alarm intelligent robot can accurate real-time send out fire alarm signal, has simple structure, the convenient advantage of operation.
In order to realize the purpose, the utility model discloses the technical scheme who takes is:
the utility model provides a fire alarm intelligent robot based on STM32, includes mobile platform 3, and universal wheel 4 is installed in 3 lower parts the place ahead of mobile platform, and 2 drive wheels 5 are installed at 3 lower part backs of mobile platform, and visual sensing module 1 is installed in 3 upper portion the place ahead of mobile platform, installs MCU2 on the mobile platform 3.
The input end of the MCU2 is connected with the output ends of the temperature sensor and the dust sensor, the first output end of the MCU2 is connected with the visual sensing module 1, the second output end of the MCU2 is connected with the input end of the buzzer, the third output end of the MCU2 is respectively connected with the control ends of one motor and two motors through a two-way motor driving module, and the one motor and the two motors are respectively used for controlling one driving wheel 5; MCU2 is connected through wireless module and PC end, and temperature sensor, dust sensor, bee calling organ install on moving platform 3.
And the MCU2 is an STM32 series single chip microcomputer.
The vision sensor module 1 is an OV 2640.
The wireless module is ESP 8266.
The temperature sensor is DS18B 20.
The dust sensor is GP2Y 1010.
The STM32 singlechip be connected with vision sensor module OV2640 through built-in DCMI digital image interface, the STM32 singlechip passes through the PG9 interface and links to each other with temperature sensor DS18B20 ' S DQ pin, the STM32 singlechip passes through PA5 interface and links to each other with dust sensor GP2Y1010 ' S S-GND pin, the STM32 singlechip passes through PB8 interface and links to each other with the bee calling organ, the STM32 singlechip passes through PA2 and PA3 interface and wireless module ESP8266 ' S TX, the RX pin links to each other, the STM32 singlechip passes through the two-way motor drive module MOS-H bridge of PWM ripples control.
The PC terminal carries out intelligent alarm based on a flame recognition detection algorithm of YOLOv 3.
The utility model has the advantages that:
the utility model discloses moving platform 3 adopts the tricycle to support, by two drive wheels 5 of two-way motor control back-drive, preceding single universal wheel is responsible for directional control for it is nimble, with low costs to track.
The flame recognition detection algorithm based on the YOLOv3 on the PC terminal carries out intelligent alarm and can accurately send out a fire alarm signal in real time. The utility model has the advantages of simple structure and convenient operation.
Drawings
Fig. 1 is a schematic structural diagram of an embodiment of the present invention.
Fig. 2 is a control block diagram of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
Referring to fig. 1, the STM 32-based intelligent fire alarm robot comprises a mobile platform 3, wherein universal wheels 4 are mounted in front of the lower part of the mobile platform 3, the direction is sensitive, and the robot is convenient to travel; 2 driving wheels 5 are installed at the rear of the lower portion of the moving platform 3, the vision sensing module 1 is installed in front of the upper portion of the moving platform 3, and the MCU2 is installed on the moving platform 3.
Referring to fig. 2, the input end of the MCU2 is connected with the temperature sensor and the output end of the dust sensor, the first output end of the MCU2 is connected with the vision sensing module 1, the second output end of the MCU2 is connected with the input end of the buzzer, the third output end of the MCU2 is connected with one of the motors through the two-way motor driving module, the control ends of the two-way motors are connected, one of the motors, the two-way motor is used for controlling one of the driving wheels 5, the MCU2 is connected with the PC end through the wireless module, the temperature sensor, the dust sensor and the buzzer are installed on the mobile platform 3.
And the MCU2 is an STM32 series single chip microcomputer.
The vision sensor module 1 is an OV 2640.
The wireless module is ESP8266, the wireless module collects pictures shot by the visual sensing module 1 through a serial port, picture data are transmitted to the PC end through the MCU2 and the wireless module by utilizing the Ethernet, and the PC end recodes the picture data sent by the wireless module into the pictures and displays the pictures.
The temperature sensor is DS18B 20.
The dust sensor is GP2Y 1010.
The STM32 singlechip be connected with vision sensor module OV2640 through built-in DCMI digital image interface, the STM32 singlechip passes through the PG9 interface and links to each other with temperature sensor DS18B20 ' S DQ pin, the STM32 singlechip passes through PA5 interface and links to each other with dust sensor GP2Y1010 ' S S-GND pin, the STM32 singlechip passes through PB8 interface and links to each other with the bee calling organ, the STM32 singlechip passes through PA2 and PA3 interface and wireless module ESP8266 ' S TX, the RX pin links to each other, the STM32 singlechip passes through the two-way motor drive module MOS-H bridge of PWM ripples control.
The utility model discloses a theory of operation is:
the temperature sensor and the dust sensor detect the surrounding environment, relevant parameters are transmitted to the MCU2, when the relevant parameters exceed a threshold value, the MCU2 sends a high level signal to start the visual sensing module 1, a camera OV2640 of the visual sensing module 1 is responsible for taking pictures, data collected by the visual sensing module 1 are RGB565, the data are converted into RGB888 and then into HSL; the double-motor driving module outputs PWM waves corresponding to the double-circuit motors by receiving PID processed by the MCU2, wherein parameters of the PID are subjected to reading processing on HSL by a corrosion algorithm, the single-circuit motor and the double-circuit motor are respectively used for controlling 2 driving wheels 5, the driving wheels 5 are responsible for tracking the distance of flame and capturing, and the universal wheels 4 are responsible for direction control.
The flame recognition detection algorithm of the PC terminal based on YOLOv3 carries out intelligent alarm, the buzzer sends high level for alarm through the MCU2, wherein the high level is realized by the high levels of the temperature sensor and the dust sensor and the signal of the PC terminal; the MCU2 can be controlled by the PC end through a wireless module to carry out independent transmission and closing; in order to prevent false alarm, intelligent alarm is carried out through a flame recognition detection algorithm based on YOLOv3 on the PC end, the flame recognition detection algorithm of YOLOv3 is based on a Darknet-53 network structure and is specially used for carrying out flame recognition on a field image aiming at the application of the field of image recognition, and when the flame characteristics are captured, the MCU2 transmits a high-level signal to a buzzer for alarm; the flame recognition detection algorithm of YOLOv3 can continuously train and memorize a large number of flame photos, and the alarm accuracy is improved.
Claims (7)
1. The utility model provides a fire alarm intelligent robot based on STM32 which characterized in that: the visual monitoring system comprises a mobile platform (3), universal wheels (4) are installed in front of the lower portion of the mobile platform (3), 2 driving wheels (5) are installed behind the lower portion of the mobile platform (3), a visual sensing module (1) is installed in front of the upper portion of the mobile platform (3), and an MCU (2) is installed on the mobile platform (3);
the input end of the MCU (2) is connected with the output ends of the temperature sensor and the dust sensor, the first output end of the MCU (2) is connected with the visual sensing module (1), the second output end of the MCU (2) is connected with the input end of the buzzer, the third output end of the MCU (2) is respectively connected with the control ends of one path of motor and two paths of motors through a two-path motor driving module, and the one path of motor and the two paths of motors are respectively used for controlling one driving wheel (5); the MCU (2) is connected with the PC end through a wireless module, and the temperature sensor, the dust sensor and the buzzer are arranged on the mobile platform (3);
the PC terminal carries out intelligent alarm based on a flame recognition detection algorithm of YOLOv3, the flame recognition detection algorithm of YOLOv3 carries out flame recognition aiming at a field image based on a Darknet-53 network structure, and when the flame characteristics are captured, the MCU (2) transmits a high level signal to the buzzer for alarm; the flame recognition detection algorithm of YOLOv3 can continuously train and memorize flame photos, and the alarm accuracy is improved.
2. An STM 32-based intelligent fire alarm robot as defined in claim 1, wherein: and the MCU (2) is an STM32 series single chip microcomputer.
3. An STM 32-based intelligent fire alarm robot as defined in claim 1, wherein: the vision sensor module (1) is OV 2640.
4. An STM 32-based intelligent fire alarm robot as defined in claim 1, wherein: the wireless module is ESP 8266.
5. An STM 32-based intelligent fire alarm robot as defined in claim 1, wherein: the temperature sensor is DS18B 20.
6. An STM 32-based intelligent fire alarm robot as defined in claim 1, wherein: the dust sensor is GP2Y 1010.
7. An STM 32-based intelligent fire alarm robot as claimed in claim 2, 3, 4, 5 or 6, wherein: the STM32 singlechip be connected with vision sensor module OV2640 through built-in DCMI digital image interface, the STM32 singlechip passes through the PG9 interface and links to each other with temperature sensor DS18B20 ' S DQ pin, the STM32 singlechip passes through PA5 interface and links to each other with dust sensor GP2Y1010 ' S S-GND pin, the STM32 singlechip passes through PB8 interface and links to each other with the bee calling organ, the STM32 singlechip passes through PA2 and PA3 interface and wireless module ESP8266 ' S TX, the RX pin links to each other, the STM32 singlechip passes through the two-way motor drive module MOS-H bridge of PWM ripples control.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202120295383.5U CN214647602U (en) | 2021-02-02 | 2021-02-02 | Fire alarm intelligent robot |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202120295383.5U CN214647602U (en) | 2021-02-02 | 2021-02-02 | Fire alarm intelligent robot |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN214647602U true CN214647602U (en) | 2021-11-09 |
Family
ID=78445358
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202120295383.5U Active CN214647602U (en) | 2021-02-02 | 2021-02-02 | Fire alarm intelligent robot |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN214647602U (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115617086A (en) * | 2022-11-08 | 2023-01-17 | 四川兆纪光电科技有限公司 | Workshop dust detection and control device |
-
2021
- 2021-02-02 CN CN202120295383.5U patent/CN214647602U/en active Active
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115617086A (en) * | 2022-11-08 | 2023-01-17 | 四川兆纪光电科技有限公司 | Workshop dust detection and control device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108297058B (en) | Intelligent security robot and automatic inspection method thereof | |
| CN108297059B (en) | Novel intelligent security robot and automatic inspection method thereof | |
| CA2795896A1 (en) | Method and system for security system tampering detection | |
| CN210161133U (en) | Dangerous chemical park inspection system | |
| CN214647602U (en) | Fire alarm intelligent robot | |
| CN110703760A (en) | Newly-increased suspicious object detection method for security inspection robot | |
| CN2901736Y (en) | Infrared thermal imaging system and camera integrated machine | |
| DE59602586D1 (en) | Road traffic monitoring system | |
| CN103152558A (en) | Intrusion detection method based on scene recognition | |
| CN215281955U (en) | Building security patrol robot | |
| US20100054541A1 (en) | Driving support system with plural dimension processing units | |
| CN109568093A (en) | A kind of walking safety integrated management system and method | |
| CN108705977A (en) | A kind of internet pilotless automobile | |
| CN110696003A (en) | Water side rescue robot based on SLAM technology and deep learning | |
| CN208140932U (en) | A kind of information fuse device of visible light and the more camera lens multisensors of mid-infrared and far-infrared light | |
| CN104019748B (en) | Observation standard unstability compensating type catenary offset detecting device | |
| CN210351351U (en) | Cloud platform device is followed to computer vision | |
| Shivaanivarsha | Multifunctional Night Patrolling Robot Based on Rocker-Bogie Mechanism | |
| CN209355867U (en) | A kind of detection mould group of double TOF | |
| CN203520124U (en) | Internet of things based information acquiring apparatus | |
| CN203301643U (en) | Intelligent reconnoitre system based on wireless image transmission | |
| CN207458289U (en) | A kind of corridor flow of the people monitoring alarm device | |
| CN106686119B (en) | The unmanned automobile of high in the clouds Encrypted USB flash drive device based on cloud computing information is installed | |
| CN105892454A (en) | Mobile intelligent security check robot | |
| CN114708698B (en) | Intelligent sensing and early warning system for foreign matters in tunnel |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| GR01 | Patent grant |