CN111325944A - Vehicle parking flameout detection system - Google Patents
Vehicle parking flameout detection system Download PDFInfo
- Publication number
- CN111325944A CN111325944A CN202010119288.XA CN202010119288A CN111325944A CN 111325944 A CN111325944 A CN 111325944A CN 202010119288 A CN202010119288 A CN 202010119288A CN 111325944 A CN111325944 A CN 111325944A
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- vehicle
- exhaust pipe
- detection device
- temperature detection
- camera
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- 238000001514 detection method Methods 0.000 title claims abstract description 63
- 238000013135 deep learning Methods 0.000 claims abstract description 11
- 239000000779 smoke Substances 0.000 claims description 21
- 238000009529 body temperature measurement Methods 0.000 claims description 4
- 238000010586 diagram Methods 0.000 description 1
- 238000000034 method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000001629 suppression Effects 0.000 description 1
Images
Classifications
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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
- G08B17/12—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions
- G08B17/125—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions by using a video camera to detect fire or smoke
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/0004—Gaseous mixtures, e.g. polluted air
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01P—MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
- G01P13/00—Indicating or recording presence, absence, or direction, of movement
-
- 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
Abstract
The invention discloses a vehicle parking flameout detection system, which comprises a temperature detection device, a camera, a host and a parking area, wherein the temperature detection device is used for detecting the temperature of a vehicle; the temperature detection device and the camera are arranged on the base body, the base body is positioned on one side of the parking area, and the temperature detection device is provided with an electric control steering support; according to the scheme, the position of the exhaust pipe of the vehicle is found by the aid of the camera through deep learning of images, the problems of exhaust pipe layout and parking deviation of different vehicles can be solved, and the position of the exhaust pipe can be found by the temperature detection device all the time; the temperature detection device also detects the change of the exhaust pipe and the ambient temperature through deep learning, and can judge whether the exhaust pipe has exhaust emission or not so as to judge whether the vehicle is flameout or not after passing; the detection accuracy is high, the speed is high, and the application range is wide.
Description
Technical Field
The invention relates to a vehicle parking flameout detection system based on deep image learning.
Background
When a vehicle is refueled, the vehicle generally needs to be flamed out so as to avoid potential safety hazards, and careless drivers forget to flameout, so that flameout detection of a gas station is very important. Some existing flameout detection means include vibration detection, temperature detection and the like; the vibration detection is to judge whether the engine stops running or not through the vibration of the vehicle, but the existing vehicle is more and more advanced, and the vibration suppression is better and better, so that the detection is invalid; the temperature detection is to judge whether the vehicle is flamed out or not by measuring the temperature of the exhaust pipe of the vehicle, and after the vehicle is flamed out, the temperature of the exhaust pipe is reduced for a certain time, so that the detection is not timely enough, and the fixed temperature detection device cannot adapt to all detection conditions because the parking position of each vehicle has certain deviation and the layout of the exhaust pipes of different vehicles is different.
Disclosure of Invention
In view of the above technical problems, the present invention aims to: a vehicle parking stall detection system based on image deep learning is provided.
The technical solution of the invention is realized as follows: a vehicle parking flameout detection system comprises a temperature detection device, a camera, a host and a parking area; the temperature detection device and the camera are arranged on the base body, the base body is positioned on one side of the parking area, and the temperature detection device is provided with an electric control steering support; the camera recognizes the exhaust pipe part of the vehicle in the parking area through deep learning of the image, the host parameterizes the position of the exhaust pipe of the vehicle according to the image recognized by the camera and sends a control instruction to the electric control steering support according to the parameter to enable the temperature detection device to be aligned to the exhaust pipe part of the vehicle, the temperature detection device detects the temperature of the exhaust pipe and the surrounding of the exhaust pipe, and whether tail gas flows around the exhaust pipe or not is judged through deep learning.
Preferably, the temperature detection device is an infrared temperature measurement gun.
Preferably, the parking area is a one-way driving-in and driving-out parking space, and the base body is located on the driving-in side of the parking area.
Preferably, a smoke sensor is arranged on the driving side of the parking area.
Preferably, a set of temperature detection device and a camera are respectively arranged on the entry side and the exit side of the parking area.
Preferably, a smoke sensor is provided on both the entry side and the exit side of the parking area.
Preferably, the smoke sensor is an ionic smoke sensor, a photoelectric smoke sensor or a gas-sensitive smoke sensor.
Due to the application of the technical scheme, compared with the prior art, the invention has the following advantages:
according to the scheme, the position of the exhaust pipe of the vehicle is found by the aid of the camera through deep learning of images, the problems of exhaust pipe layout and parking deviation of different vehicles can be solved, and the position of the exhaust pipe can be found by the temperature detection device all the time; the temperature detection device also detects the change of the exhaust pipe and the ambient temperature through deep learning, and can judge whether the exhaust pipe has exhaust emission or not so as to judge whether the vehicle is flameout or not after passing; the detection accuracy is high, the speed is high, and the application range is wide.
Drawings
The technical scheme of the invention is further explained by combining the accompanying drawings as follows:
FIG. 1 is a schematic diagram of a vehicle parking stall detection system according to the present invention.
Detailed Description
The invention is described below with reference to the accompanying drawings.
As shown in fig. 1, the vehicle parking stall detection system of the present invention includes a temperature detection device 1, a camera 2, a host and a parking area 3; the temperature detection device 1 and the camera 2 are arranged on the base body 4, the base body 4 is located on one side of the parking area 3, the base body 4 can be of a wall body or a stand column and other structures, the temperature detection device 1 is provided with an electric control steering support 5, the temperature detection device 1 is an industrial temperature measurement gun or an infrared thermal imager and other equipment, and accurate temperature measurement of a distance of several meters can be met.
The camera 2 recognizes the exhaust pipe part of the vehicle on the parking area 3 through the deep learning of the image, the camera 2 can be a common camera, the camera shooting range needs to cover the whole parking area 3, and the camera 2 can also adopt a 360-degree rotary camera or a common camera with an electric control steering support and the like.
The host machine parameterizes the position of the exhaust pipe of the vehicle according to the image identified by the camera 2, and sends a control instruction to the electronic control steering support 5 according to the parameter, the electronic control steering support 5 can drive the temperature detection device 1 to rotate in multiple directions, so that the temperature detection device 1 is aligned to the exhaust pipe part of the vehicle, and the temperature detection device 1 detects the temperature of the exhaust pipe and the surrounding of the exhaust pipe.
Specifically, the temperature detection device 1 detects the temperature of a plurality of points around the exhaust pipe, for example, the temperature of a plurality of points within a radius of 10cm around the exhaust pipe, and by deeply learning the change rule of the ambient temperature when the exhaust pipe discharges the exhaust gas, it is identified whether the exhaust gas flows in the exhaust pipe of the vehicle and around the exhaust pipe, so as to determine whether the vehicle is flameout.
As an implementation manner of the scheme, under certain environments, the parking area 3 is a one-way driving-in and driving-out parking space, the temperature detection device 1 and the camera 2 are arranged on the driving-in side of the parking area 3, and after the vehicle is parked, the temperature detection device 1 and the camera 2 face the tail part of the vehicle; furthermore, a smoke sensor 6 is arranged on the entry side of the parking area 3.
As another embodiment of the present solution, under certain circumstances, the parking area 3 has no limitation on the driving direction, and a set of temperature detection device 1 and a set of camera 2 are respectively disposed on the driving side and the driving side of the parking area 3 to ensure that a set of equipment can be aimed at the tail of the vehicle no matter which direction the vehicle is driven in; further, both the entry side and the exit side of the parking area 3 are provided with smoke sensors 6.
The smoke sensor 6 is used as an auxiliary device, and the data of the temperature detection device 1 and the data of the smoke sensor 6 adopt a deep learning method, so that whether gas flows in the exhaust pipe of the vehicle can be detected more accurately; the smoke sensor 6 can be an ion type smoke sensor, a photoelectric type smoke sensor or a gas-sensitive type smoke sensor, and the smoke sensor 6 can select an actual laying mode according to the type of equipment.
The flameout detection system is suitable for but not limited to gas stations, can also be used for flameout detection of vehicles in other environments, and serves as a reminding and monitoring means, such as common household parking spaces and the like.
The above-mentioned embodiments are merely illustrative of the technical idea and features of the present invention, and the purpose thereof is to enable those skilled in the art to understand the contents of the present invention and implement the present invention, and not to limit the scope of the present invention, and all equivalent changes or modifications made according to the spirit of the present invention should be covered in the scope of the present invention.
Claims (7)
1. A vehicle parking stall detection system which characterized in that: the parking system comprises a temperature detection device (1), a camera (2), a host and a parking area (3); the temperature detection device (1) and the camera (2) are arranged on the base body (4), the base body (4) is positioned on one side of the parking area (3), and the temperature detection device (1) is provided with an electric control steering support (5); the camera (2) identifies the exhaust pipe part of the vehicle in the parking area (3) through deep learning of the image, the host machine parameterizes the position of the exhaust pipe of the vehicle according to the image identified by the camera (2) and sends a control command to the electric control steering support (5) according to the parameter, the temperature detection device (1) is aligned to the exhaust pipe part of the vehicle, the temperature detection device (1) detects the temperature of the exhaust pipe and the surrounding of the exhaust pipe, and whether the exhaust pipe and the surrounding of the exhaust pipe have tail gas flow or not is judged through deep learning.
2. The vehicle parking stall detection system of claim 1, wherein: the temperature detection device (1) is an infrared temperature measurement gun.
3. The vehicle parking stall detection system of claim 1, wherein: the parking area (3) is a unidirectional driving-in and driving-out parking space, and the base body (4) is positioned on the driving-in side of the parking area (3).
4. The vehicle parking stall detection system of claim 3, wherein: a smoke sensor (6) is arranged on the driving side of the parking area (3).
5. The vehicle parking stall detection system of claim 1, wherein: a set of temperature detection device (1) and a set of camera (2) are respectively arranged on the entry side and the exit side of the parking area (3).
6. The vehicle parking stall detection system of claim 5, wherein: smoke sensors (6) are arranged on the driving side and the driving side of the parking area (3).
7. The vehicle parking stall detection system of claim 4 or 6, characterized in that: the smoke sensor (6) is an ion type smoke sensor, a photoelectric type smoke sensor or a gas-sensitive type smoke sensor.
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CN202010119288.XA CN111325944A (en) | 2020-02-26 | 2020-02-26 | Vehicle parking flameout detection system |
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CN202010119288.XA CN111325944A (en) | 2020-02-26 | 2020-02-26 | Vehicle parking flameout detection system |
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111735534A (en) * | 2020-07-02 | 2020-10-02 | 江苏弘冉智能科技有限公司 | Vehicle parking safety behavior early warning system and method |
CN114360079A (en) * | 2022-01-25 | 2022-04-15 | 杨迎卯 | Parking lot parking fee payment method, parking lot parking fee payment device and parking fee payment medium based on ECT equipment |
CN117268551A (en) * | 2023-11-21 | 2023-12-22 | 广州科易光电技术有限公司 | Method and device for detecting vehicles on oil distribution platform, equipment and storage medium |
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111735534A (en) * | 2020-07-02 | 2020-10-02 | 江苏弘冉智能科技有限公司 | Vehicle parking safety behavior early warning system and method |
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CN114360079B (en) * | 2022-01-25 | 2023-12-29 | 杨迎卯 | ETC equipment-based parking fee payment method, ETC equipment-based parking fee payment device, ETC equipment-based parking fee payment equipment and ETC medium |
CN117268551A (en) * | 2023-11-21 | 2023-12-22 | 广州科易光电技术有限公司 | Method and device for detecting vehicles on oil distribution platform, equipment and storage medium |
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